Results for 'Feedback Loops'

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  1. Glycemia Regulation: From Feedback Loops to Organizational Closure.Leonardo Bich, Matteo Mossio & Ana M. Soto - 2020 - Frontiers in Physiology 11.
    Endocrinologists apply the idea of feedback loops to explain how hormones regulate certain bodily functions such as glucose metabolism. In particular, feedback loops focus on the maintenance of the plasma concentrations of glucose within a narrow range. Here, we put forward a different, organicist perspective on the endocrine regulation of glycaemia, by relying on the pivotal concept of closure of constraints. From this perspective, biological systems are understood as organized ones, which means that they are constituted (...)
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  2.  13
    A Moral Experience Feedback Loop: Modeling a System of Moral Self-Cultivation in Everyday Life.Stephen A. Sherblom - 2015 - Journal of Moral Education 44 (3):364-381.
    This systems thinking model illustrates a common feedback loop by which people engage the moral world and continually reshape their moral sensibility. The model highlights seven processes that collectively form this feedback loop: beginning with one’s current moral sensibility which shapes processes of perception, deliberation, decision-making, embodying action, reflection on self-evaluation and other’s responses, and consolidation into one’s moral sensibility of the lessons learned. Improvements on previous models of moral engagement include recognizing moral sensibility as the grounding for (...)
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  3.  7
    This Time, It’s Real: Affective Flexibility, Time Scales, Feedback Loops, and the Regulation of Emotion.Tom Hollenstein - 2015 - Emotion Review 7 (4):308-315.
    Because both emotional arousal and regulation are continuous, ongoing processes, it is difficult, if not impossible, to separate them. Thus, affective dynamics can reveal the regulation of emotion as it occurs in real time. One way that this can be done is through the examination of intra- and interpersonal flexibility or the transitions into and out of affective states. The present article reviews and then expands upon the Flex3 model of real-time dynamic and reactive flexibility, specifying the ways in which (...)
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  4.  37
    Determinism and Causal Feedback Loops in Montesquieu's Explanations for the Military Rise and Fall of Rome.Paul Schuurman - 2013 - British Journal for the History of Philosophy 21 (3):507-528.
    Montesquieu's Considérations sur les causes de la grandeur des Romains et de leur décadence (1733/1734) is a methodological exercise in causal explanation on the meso-level applied to the subject of the military rise and fall of Rome. Rome is described as a system with contingent initial conditions that have a strong path-determining effect. Contingent and plastic initial configurations become highly determining in their subsequent operation, thanks to self-reinforcing feedback loops. Montesquieu's method seems influenced by the ruthless commitment to (...)
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  5. Feedback Loops: Pragmatism About Science and Technology.Andrew Wells Garnar & Ashley Shew (eds.) - 2020 - Lexington Books.
    This volume explores the arrangement of science, technology, society, and education. Using the concept of "feedback loop", this book processes subjects dear to the work of Joseph C. Pitt: technology as humanity at work, pragmatism, Sicilian realism, pragmatist pedagogy, instrumentation in science, and more.
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  6.  20
    Septohippocampal Comparator: Consciousness Generator or Attention Feedback Loop?Marcel Kinsbourne - 1995 - Behavioral and Brain Sciences 18 (4):687-688.
    As Gray insists, his comparator model proposes a brute correlation only – of consciousness with septohippocampal output. I suggest that the comparator straddles a feedback loop that boosts the activation ofnovelrepresentations, thus helping them feature in present or recollected experience. Such a role in organizing conscious contents would transcend correlation and help explain how consciousness emerges from brain function.
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  7.  1
    Closing the Feedback Loop.Vicky Roupa - forthcoming - Teaching Philosophy.
  8.  6
    Positive Cerebellar Feedback Loops.Germund Hesslow - 1996 - Behavioral and Brain Sciences 19 (3):455-456.
  9.  22
    Periodic Solutions of Piecewise Affine Gene Network Models with Non Uniform Decay Rates: The Case of a Negative Feedback Loop.Etienne Farcot & Jean-Luc Gouzé - 2009 - Acta Biotheoretica 57 (4):429-455.
    This paper concerns periodic solutions of a class of equations that model gene regulatory networks. Unlike the vast majority of previous studies, it is not assumed that all decay rates are identical. To handle this more general situation, we rely on monotonicity properties of these systems. Under an alternative assumption, it is shown that a classical fixed point theorem for monotone, concave operators can be applied to these systems. The required assumption is expressed in geometrical terms as an alignment condition (...)
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  10. Epistemology and the Social: A Feedback Loop.Evandro Agazzi - 2008 - Poznan Studies in the Philosophy of the Sciences and the Humanities 96 (1):19-31.
    A sociological study of science is not very recent and has never been seen as particularly problematic since science, and especially modern science, constitutes an impressive and extremely ramified "social system" of activities, institutions, relations and interferences with other social systems. Less favourable, however, has been the consideration of a more recent trend in the philosophy of science known as the "sociological" philosophy of science, whose most debatable point consists in directly challenging the traditional epistemology of science and, in particular, (...)
     
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  11.  15
    The Control of Consciousness Via a Neuropsychological Feedback Loop.Todd D. Nelson - 1995 - Behavioral and Brain Sciences 18 (4):690-691.
    Gray's neuropsychological model of consciousness uses a hierarchical feedback loop framework that has been extensively discussed by many others in psychology. This commentary therefore urges Gray to integrate with, or at least acknowledge previous models. It also points out flaws in his feedback model and suggests directions for further theoretical work.
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  12.  35
    Investigating Metalloproteinases MMP-2 and MMP-9 Mechanosensitivity to Feedback Loops Involved in the Regulation of In Vitro Angiogenesis by Endogenous Mechanical Stresses. [REVIEW]Minh-Uyen Dao Thi, Candice Trocmé, Marie-Paule Montmasson, Eric Fanchon, Bertrand Toussaint & Philippe Tracqui - 2012 - Acta Biotheoretica 60 (1-2):21-40.
    Angiogenesis is a complex morphogenetic process regulated by growth factors, but also by the force balance between endothelial cells traction stresses and extracellular matrix viscoelastic resistance. Studies conducted with in vitro angiogenesis assays demonstrated that decreasing ECM stiffness triggers an angiogenic switch that promotes organization of EC into tubular cords or pseudo-capillaries. Thus, mechano-sensitivity of EC with regard to proteases secretion, and notably matrix metalloproteinases , should likely play a pivotal role in this switching mechanism. While most studies analysing strain (...)
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  13.  1
    Negative CG Dinucleotide Bias: An Explanation Based on Feedback Loops Between Arginine Codon Assignments and Theoretical Minimal RNA Rings.Jacques Demongeot, Andrés Moreira & Hervé Seligmann - 2021 - Bioessays 43 (3):2000071.
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  14.  10
    What the Papers Say: The P53‐Mdm2 Autoregulatory Feedback Loop: A Paradigm for the Regulation of Growth Control by P53?Steven M. Picksley & David P. Lane - 1993 - Bioessays 15 (10):689-690.
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  15. From Physical Aggression to Verbal Behavior: Language Evolution and Self-Domestication Feedback Loop.Ljiljana Progovac & Antonio Benítez-Burraco - 2019 - Frontiers in Psychology 10.
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  16.  1
    Editorial: Context-Dependent Plasticity in Social Species: Feedback Loops Between Individual and Social Environment.Mathieu Lihoreau, Sylvia Kaiser, Briseida Resende, Heiko G. Rödel & Nicolas Châline - 2021 - Frontiers in Psychology 12.
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  17. Trust, Distrust, and Affective Looping.Karen Jones - 2019 - Philosophical Studies 176 (4):955-968.
    In this article, I explore the role of affective feedback loops in creating and sustaining trust and distrust. Some emotions, such as fear and contempt, drive out trust; others, such as esteem and empathy, drive out distrust. The mechanism here is causal, but not merely causal: affective looping works through changing how the agent interprets the words, deeds, and motives of the other, thus making trust or distrust appear justified. Looping influences not only dyadic trust, but also climates, (...)
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  18.  5
    Output Feedback Adaptive Dynamic Surface Sliding-Mode Control for Quadrotor UAVs with Tracking Error Constraints.Guoqiang Zhu, Sen Wang, Lingfang Sun, Weichun Ge & Xiuyu Zhang - 2020 - Complexity 2020:1-23.
    In this paper, a fuzzy adaptive output feedback dynamic surface sliding-mode control scheme is presented for a class of quadrotor unmanned aerial vehicles. The framework of the controller design process is divided into two stages: the attitude control process and the position control process. The main features of this work are a nonlinear observer is employed to predict the motion velocities of the quadrotor UAV; therefore, only the position signals are needed for the position tracking controller design; by using (...)
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  19.  16
    Feedback Suppression in Anesthesia. Is It Reversible?Anthony G. Hudetz - 2009 - Consciousness and Cognition 18 (4):1079-1081.
    Information processing that subserves conscious cognitive functions is thought to involve recurrent signaling through feedforward and feedback loops among hierarchically arranged functional regions of the cerebral cortex. In the current issue of Consciousness and Cognition, Lee et al. report that loss of consciousness, as produced by a bolus injection of the general anesthetic propofol to human volunteers, was accompanied by a decrease in wide-band EEG feedback connectivity from frontal cortex to parietal cortex, confirming a prediction from previous (...)
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  20.  1
    Identifying the Explanatory Domain of the Looping Effect: Congruent and Incongruent Feedback Mechanisms of Interactive Kinds: Winner of the 2020 Essay Competition of the International Social Ontology Society.Tuomas Vesterinen - 2021 - Journal of Social Ontology 6 (2):159-185.
    Ian Hacking uses the looping effect to describe how classificatory practices in the human sciences interact with the classified people. While arguably this interaction renders the affected human kinds unstable and hence different from natural kinds, realists argue that also some prototypical natural kinds are interactive and human kinds in general are stable enough to support explanations and predictions. I defend a more fine-grained realist interpretation of interactive human kinds by arguing for an explanatory domain account of the looping effect. (...)
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  21.  71
    Merging Information in Speech Recognition: Feedback is Never Necessary.Dennis Norris, James M. McQueen & Anne Cutler - 2000 - Behavioral and Brain Sciences 23 (3):299-325.
    Top-down feedback does not benefit speech recognition; on the contrary, it can hinder it. No experimental data imply that feedback loops are required for speech recognition. Feedback is accordingly unnecessary and spoken word recognition is modular. To defend this thesis, we analyse lexical involvement in phonemic decision making. TRACE (McClelland & Elman 1986), a model with feedback from the lexicon to prelexical processes, is unable to account for all the available data on phonemic decision making. (...)
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  22. Dynamics of Nonlinear Feedback Control.H. Snippe & J. H. van Hateren - 2004 - In Robert Schwartz (ed.), Perception. Malden Ma: Blackwell. pp. 182-182.
    Feedback control in neural systems is ubiquitous. Here we study the mathematics of nonlinear feedback control. We compare models in which the input is multiplied by a dynamic gain (multiplicative control) with models in which the input is divided by a dynamic attenuation (divisive control). The gain signal (resp. the attenuation signal) is obtained through a concatenation of an instantaneous nonlinearity and a linear low-pass filter operating on the output of the feedback loop. For input steps, the (...)
     
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  23.  26
    Covert Agency with Proprioceptive Feedback.Anton Lethin - 2005 - Journal of Consciousness Studies 12 (4-5):96-114.
    : Marcel says that the experience of ownership of actions is given in the specifications for action. He is referring not to a bodily movement but that which precedes it. Is the body involved or are all the changes in the brain? This paper examines the evidence for changes in the spinal cord and muscles that occur with motor imagery, simulation and preparation. There are changes in the alpha motoneurons and in the gamma motoneurons to the muscle spindles. These may (...)
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  24.  10
    Adaptive Neural Output Feedback Control for Uncertain Robot Manipulators with Input Saturation.Rong Mei & ChengJiang Yu - 2017 - Complexity 2017:1-12.
    This paper presents an adaptive neural output feedback control scheme for uncertain robot manipulators with input saturation using the radial basis function neural network and disturbance observer. First, the RBFNN is used to approximate the system uncertainty, and the unknown approximation error of the RBFNN and the time-varying unknown external disturbance of robot manipulators are integrated as a compounded disturbance. Then, the state observer and the disturbance observer are proposed to estimate the unmeasured system state and the unknown compounded (...)
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  25.  13
    Robust Fractional-Order PID Controller Tuning Based on Bode’s Optimal Loop Shaping.Lu Liu & Shuo Zhang - 2018 - Complexity 2018:1-14.
    This paper presents a novel fractional-order PID controller tuning strategy based on Bode’s optimal loop shaping which is commonly used for LTI feedback systems. Firstly, the controller parameters are achieved based on flat phase property and Bode’s optimal reference model, so that the controlled system is robust to gain variations and can achieve desirable transient performance according to various control requirements. Then, robustness analysis of the controlled system is carried out to support the results. Furthermore, the parameter setting is (...)
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  26.  32
    Tutoring in Adult-Child Interaction: On the Loop of the Tutor’s Action Modification and the Recipient’s Gaze. [REVIEW]Karola Pitsch, Anna-Lisa Vollmer, Katharina J. Rohlfing, Jannik Fritsch & Britta Wrede - 2014 - Interaction Studies 15 (1):55-98.
    Research of tutoring in parent-infant interaction has shown that tutors – when presenting some action – modify both their verbal and manual performance for the learner (‘motherese’, ‘motionese’). Investigating the sources and effects of the tutors’ action modifications, we suggest an interactional account of ‘motionese’. Using video-data from a semi-experimental study in which parents taught their 8- to 11-month old infants how to nest a set of differently sized cups, we found that the tutors’ action modifications (in particular: high arches) (...)
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  27.  16
    Tutoring in Adult-Child Interaction: On the Loop of the Tutor’s Action Modification and the Recipient’s Gaze.Karola Pitsch, Anna-Lisa Vollmer, Katharina J. Rohlfing, Jannik Fritsch & Britta Wrede - 2014 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 15 (1):55-98.
    Research of tutoring in parent-infant interaction has shown that tutors – when presenting some action – modify both their verbal and manual performance for the learner. Investigating the sources and effects of the tutors’ action modifications, we suggest an interactional account of ‘motionese’. Using video-data from a semi-experimental study in which parents taught their 8- to 11-month old infants how to nest a set of differently sized cups, we found that the tutors’ action modifications functioned as an orienting device to (...)
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  28.  13
    Event-Triggered Adaptive Backstepping Control for Strict-Feedback Nonlinear Systems with Zero Dynamics.Bo Xu, Xiaoping Liu, Huanqing Wang & Yucheng Zhou - 2019 - Complexity 2019:1-13.
    This paper focuses on the problem of event-triggered control for a class of uncertain nonlinear strict-feedback systems with zero dynamics via backstepping technique. In the design procedure, the adaptive controller and the triggering event are designed at the same time to remove the assumption of the input-to-state stability with respect to the measurement errors. Besides, we propose an assumption to deal with the problem of zero dynamics. Three different event-triggered control strategies are designed, which guarantees that all the closed-loop (...)
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  29. Output Feedback Recursive Dynamic Surface Control with Antiwindup Compensation.Guofa Sun, Hui Du, Gang Wang & Hanbo Yu - 2021 - Complexity 2021:1-16.
    Actuator saturation phenomenon often exists in the actual control system, which could destroy the closed-loop performance of the system and even lead to unstable behavior. Our main contribution is to provide an antiwindup recursive dynamic surface control for a discrete-time system with an unknown state and actuator saturation. The fuzzy compensator is added to perform as an active disturbance rejection term in the feedforward path to avoid windup caused by input saturation. To construct output feedback control, the system is (...)
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  30.  29
    Epistemic Loops and Measurement Realism.Alistair M. C. Isaac - 2019 - Philosophy of Science 86:930-941.
    Recent philosophy of measurement has emphasized the existence of both diachronic and synchronic “loops,” or feedback processes, in the epistemic achievements of measurement. A widespread response has been to conclude that measurement outcomes do not convey interest-independent facts about the world, and that only a coherentist epistemology of measurement is viable. In contrast, I argue that a form of measurement realism is consistent with these results. The insight is that antecedent structure in measuring spaces constrains our empirical procedures (...)
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  31.  35
    Hydra Regeneration: Closing the Loop with Mechanical Processes in Morphogenesis.Erez Braun & Kinneret Keren - 2018 - Bioessays 40 (7):1700204.
  32. Asynchronous Stabilization of Nonlinear Markov Jump Singularly Perturbed Systems Via Fuzzy Static Output Feedback Control.Baogang Ding, Tingting Ma, Xiaoxin Feng & Yueying Wang - 2021 - Complexity 2021:1-10.
    This study focuses on the static output feedback control of nonlinear Markov jump singularly perturbed systems within the framework of Takagi–Sugeno fuzzy approximation. From a practical point of view, the phenomenon of asynchronous switching between the plant and the controller is considered and characterized by a finite piecewise-homogenous Markov process. Particularly, for facilitating the controller synthesis, the closed-loop system is transformed into a fuzzy Markov jump singularly perturbed descriptor system by adopting descriptor representation. In order to fully accommodate the (...)
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  33. Robust H ∞ Feedback Compensator Design for Linear Parabolic DPSs with Pointwise/Piecewise Control and Pointwise/Piecewise Measurement.Liu Yaqiang, Ren Zhigang & Jin Zengwang - 2021 - Complexity 2021:1-14.
    In this paper, a robust H ∞ control problem of a class of linear parabolic distributed parameter systems with pointwise/piecewise control and pointwise/piecewise measurement has been investigated via the robust H ∞ feedback compensator design approach. A unified Lyapunov direct approach is proposed in consideration of the pointwise/piecewise control and point/piecewise measurement based on the distributions of the actuators and sensors. A new type of Luenberger observer is developed on the continuous interval of space domain to track the state (...)
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  34.  2
    Partial-State-Constrained Adaptive Intelligent Tracking Control of Nonlinear Nonstrict-Feedback Systems with Unmodeled Dynamics and Its Application.Yuzhuo Zhao, Ben Niu, Xiaoli Jiang, Ping Zhao, Huanqing Wang & Dong Yang - 2020 - Complexity 2020:1-13.
    In this paper, an adaptive intelligent control scheme is presented to investigate the problem of adaptive tracking control for a class of nonstrict-feedback nonlinear systems with constrained states and unmodeled dynamics. By approximating the unknown nonlinear uncertainties, utilizing Barrier Lyapunov functions, and designing a dynamic signal to deal with the constrained states and the unmodeled dynamics, respectively, an adaptive neural network controller is developed in the frame of the backstepping design. In order to simplify the design process, the nonstrict- (...) form is treated by using the special properties of Gaussian functions. The proposed adaptive control scheme ensures that all variables involved in the closed-loop system are bounded, the corresponding state constraints are not violated. Meanwhile, the tracking error converges to a small neighborhood of the origin. In the end, the proposed intelligent design algorithm is applied to one-link manipulator to demonstrate the effectiveness of the obtained method. (shrink)
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  35.  3
    Finite-Time Adaptive Tracking Control for a Class of Pure-Feedback Nonlinear Systems with Disturbances Via Decoupling Technique.Qiangqiang Zhu, Ben Niu, Shengtao Li, Peiyong Duan & Dong Yang - 2020 - Complexity 2020:1-11.
    This paper addresses the finite-time adaptive tracking control problem for a class of pure feedback nonlinear systems whose nonaffine functions may not be differentiable. By properly modeling the nonaffine function, the design difficulty of the pure feedback structure is overcome without using the median value theorem. In our design procedure, an finite-time adaptive controller is elaborately developed using the decoupling technology, which eliminates the limitation assumption on the partial derivatives of nonaffine functions. Furthermore, the constructed controller can stabilize (...)
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  36.  1
    Quantized Dissipative Observer-Based Output Feedback Control for a Class of Markovian Descriptor Jump Systems with Communication Delay.Muhammad Shamrooz Aslam & Xisheng Dai - 2020 - Complexity 2020:1-16.
    This paper investigates the problem of quantized dissipative observer-based output feedback control of Markovian descriptor jump systems with unavailable states, appearing networked-induced delay. The descriptor systems are presented as Markovian jump systems which give a more realistic presentation for a variety of nonlinear dynamical systems than conventional state-space representation. To accomplish the objective, a uniform framework is employed to design the delayed Markov observer-based controller and event-triggered scheme. Additionally, we provided the ℋ∞ and ℒ2-ℒ∞ and dissipative performance indices which (...)
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  37. Neural Correlates of Visuospatial Consciousness in 3D Default Space: Insights From Contralateral Neglect Syndrome.Ravinder Jerath & Molly W. Crawford - 2014 - Consciousness and Cognition 28:81-93.
    One of the most compelling questions still unanswered in neuroscience is how consciousness arises. In this article, we examine visual processing, the parietal lobe, and contralateral neglect syndrome as a window into consciousness and how the brain functions as the mind and we introduce a mechanism for the processing of visual information and its role in consciousness. We propose that consciousness arises from integration of information from throughout the body and brain by the thalamus and that the thalamus reimages visual (...)
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  38.  9
    Hybrid Functions Direct Approach and State Feedback Optimal Solutions for a Class of Nonlinear Polynomial Time Delay Systems.Mohamed Karim Bouafoura & Naceur Benhadj Braiek - 2019 - Complexity 2019:1-14.
    The aim of this paper is to determine the optimal open loop solution and a nonlinear delay-dependent state feedback suboptimal control for a class of nonlinear polynomial time delay systems. The proposed method uses a hybrid of block pulse functions and Legendre polynomials as an orthogonal base for system’s states and input expansion. Hence, the complex dynamic optimization problem is then reduced, with the help of operational properties of the hybrid basis and Kronecker tensor product lemmas, to a nonlinear (...)
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  39.  3
    Approximation-Based Fixed-Time Adaptive Tracking Control for a Class of Uncertain Nonlinear Pure-Feedback Systems.Cheng He, Jian Wu, Jiyang Dai, Zhe Zhang, Libin Xu & Pinwei Li - 2020 - Complexity 2020:1-17.
    This paper examines approximation-based fixed-time adaptive tracking control for a class of uncertain nonlinear pure-feedback systems. Novel virtual and actual controllers are designed that resolve the meaninglessness of virtual and actual controllers at the origin and in the negative domain, and the sufficient condition for the system to have semiglobal fixed-time stability is also provided. Radial basis function neural networks are introduced to approximate unknown functions for solving the fixed-time control problem of unknown nonlinear pure-feedback systems, and the (...)
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    Robust Parametric Control of Lorenz System Via State Feedback.Da-Ke Gu, Da-Wei Zhang & Yin-Dong Liu - 2020 - Complexity 2020:1-10.
    This paper considers the parametric control to the Lorenz system by state feedback. Based on the solutions of the generalized Sylvester matrix equation, the unified explicit parametric expression of the state feedback gain matrix is proposed. The closed loop of the Lorenz system can be transformed into an arbitrary constant matrix with the desired eigenstructure. The freedom provided by the parametric control can be fully used to find a controller to satisfy the robustness criteria. A numerical simulation is (...)
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    Distributed Adaptive Fixed-Time Tracking Consensus Control for Multiple Uncertain Nonlinear Strict-Feedback Systems Under a Directed Graph.Pinwei Li, Jiyang Dai, Jin Ying, Zhe Zhang & Cheng He - 2020 - Complexity 2020:1-21.
    In this brief, we study the distributed adaptive fixed-time tracking consensus control problem for multiple strict-feedback systems with uncertain nonlinearities under a directed graph topology. It is assumed that the leader’s output is time varying and has been accessed by only a small fraction of followers in a group. The distributed fixed-time tracking consensus control is proposed to design local consensus controllers in order to guarantee the consensus tracking between the followers and the leader and ensure the error convergence (...)
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  42. Observer-Based Adaptive Fuzzy Predefined Performance Control of a Class of Nonlinear Pure-Feedback Systems with Input Delay.Xin Li, Qiang Zhang & Dakuo He - 2020 - Complexity 2020:1-12.
    This paper presents a problem of observer-based adaptive fuzzy predefined performance control of a class of nonlinear pure-feedback systems with input delay and unknown control direction. Compared with the existing research, a novel predefined performance controller is proposed, which relaxes the assumption that the initial error is known. In addition, it is difficult to design the controllers due to input delay and nonaffine properties of the pure-feedback systems, which can be simplified by Pade approximation. Moreover, dynamic surface control (...)
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  43.  1
    Prescribed Performance Neural Control of Strict-Feedback Systems Via Disturbance Observers.Wei Xiang, Guangkui Xu, Fang Zhu & Chunzhi Yang - 2020 - Complexity 2020:1-12.
    This paper provides a disturbance observer-based prescribed performance control method for uncertain strict-feedback systems. To guarantee that the tracking error meets a design prescribed performance boundary condition, an improved prescribed performance function is introduced. And radial basis function neural networks are used to approximate nonlinear functions, while second-order filters are employed to eliminate the “explosion-complexity” problem inherent in the existing method. Meanwhile, disturbance observers are constructed to estimate the compounded disturbance which includes time-varying disturbances and network construction errors. The (...)
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  44. Adaptive Fuzzy Fast Finite-Time Tracking Control for Nonlinear Systems in Pure-Feedback Form with Unknown Disturbance.Ke Xu, Huanqing Wang, Xiaoping Liu & Ming Chen - 2020 - Complexity 2020:1-11.
    In this paper, based on the fast finite-time stability theorem, an adaptive fuzzy control problem is considered for a class of nonlinear systems in pure-feedback form with unknown disturbance. In the controller design process, the mean value theorem is applied to address the nonaffine structure of the pure-feedback plant, the universal approximation capability of the fuzzy logic system is utilized to compensate the unknown uncertainties, and the adaptive backstepping technique is used to design the controller model. Combined with (...)
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  45.  20
    A Unified 3D Default Space Consciousness Model Combining Neurological and Physiological Processes That Underlie Conscious Experience.Ravinder Jerath, Molly W. Crawford & Vernon A. Barnes - 2015 - Frontiers in Psychology 6:1-26.
    The Global Workspace Theory and Information Integration Theory are two of the most currently accepted consciousness models; however, these models do not address many aspects of conscious experience. We compare these models to our previously proposed consciousness model in which the thalamus fills-in processed sensory information from corticothalamic feedback loops within a proposed 3D default space, resulting in the recreation of the internal and external worlds within the mind. This 3D default space is composed of all cells of (...)
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  46.  79
    Barbieri’s Organic Codes Enable Error Correction of Genomes.Gérard Battail - 2014 - Biosemiotics 7 (2):259-277.
    Barbieri introduced and developed the concept of organic codes. The most basic of them is the genetic code, a set of correspondence rules between otherwise unrelated sequences: strings of nucleotides on the one hand, polypeptidic chains on the other hand. Barbieri noticed that it implies ‘coding by convention’ as arbitrary as the semantic relations a language establishes between words and outer objects. Moreover, the major transitions in life evolution originated in new organic codes similarly involving conventional rules. Independently, dealing with (...)
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  47. The Emperor's New Phenomenology? The Empirical Case for Conscious Experience Without First-Order Representations.Hakwan Lau & Richard Brown - 2019 - In Adam Pautz & Daniel Stoljar (eds.), Blockheads! Essays on Ned Block's Philosophy of Mind and Consciousness. MIT Press.
    We discuss cases where subjects seem to enjoy conscious experience when the relevant first-order perceptual representations are either missing or too weak to account for the experience. Though these cases are originally considered to be theoretical possibilities that may be problematical for the higher-order view of consciousness, careful considerations of actual empirical examples suggest that this strategy may backfire; these cases may cause more trouble for first-order theories instead. Specifically, these cases suggest that (I) recurrent feedback loops to (...)
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    Applying a Precautionary Approach to Mobile Contact Tracing for COVID-19: The Value of Reversibility.Niels Nijsingh, Anne van Bergen & Verina Wild - 2020 - Journal of Bioethical Inquiry 17 (4):823-827.
    The COVID-19 pandemic presents unprecedented challenges to public health decision-making. Specifically, the lack of evidence and the urgency with which a response is called for, raise the ethical challenge of assessing how much evidence is required for the justification of interventions in response to the various threats we face. Here we discuss the intervention of introducing technology that aims to trace and alert contacts of infected persons—contact tracing technology. Determining whether such an intervention is proportional is complicated by complex trade-offs (...)
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  49. Action, Control and Sensations of Acting.Benjamin Mossel - 2005 - Philosophical Studies 124 (2):129-180.
    Sensations of acting and control have been neglected in theory of action. I argue that they form the core of action and are integral and indispensible parts of our actions, participating as they do in feedback loops consisting of our intentions in acting, the bodily movements required for acting and the sensations of acting. These feedback loops underlie all activities in which we engage when we act and generate our control over our movements.The events required for (...)
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    ‘Multimorbidity’ as the Manifestation of Network Disturbances.Joachim P. Sturmberg, Jeanette M. Bennett, Carmel M. Martin & Martin Picard - 2017 - Journal of Evaluation in Clinical Practice 23 (1):199-208.
    We argue that 'multimorbidity' is the manifestation of interconnected physiological network processes _within an individual in his or her socio-cultural environment_. Networks include genomic, metabolomic, proteomic, neuroendocrine, immune and mitochondrial bioenergetic elements, as well as social, environmental and health care networks. Stress systems and other physiological mechanisms create feedback loops that integrate and regulate internal networks within the individual. Minor and major stressful life experiences perturb internal and social networks resulting in physiological instability with changes ranging from improved (...)
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