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Quan Xu [8]Quanxing Xu [3]
  1.  20
    Memristor-Based Canonical Chua’s Circuit: Extreme Multistability in Voltage-Current Domain and Its Controllability in Flux-Charge Domain.Han Bao, Tao Jiang, Kaibin Chu, Mo Chen, Quan Xu & Bocheng Bao - 2018 - Complexity 2018:1-13.
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  2.  15
    Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic Nonlinearity.Mo Chen, Yang Feng, Han Bao, Bocheng Bao, Huagan Wu & Quan Xu - 2019 - Complexity 2019:1-16.
    Memristive system with infinitely many equilibrium points has attracted much attention for the generation of extreme multistability, whose initial-dependent dynamics can be interpreted in a reduced-order model through incremental integral transformation of state variables. But, the memristive system with any extra nonlinear terms besides the memristor ones cannot be handled directly using this method. In addition, the transformed state variables could be divergent due to the asymmetry of the original system. To solve these problems, a hybrid state variable incremental integral (...)
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  3.  25
    Three-Dimensional Memristive Hindmarsh–Rose Neuron Model with Hidden Coexisting Asymmetric Behaviors.Bocheng Bao, Aihuang Hu, Han Bao, Quan Xu, Mo Chen & Huagan Wu - 2018 - Complexity 2018:1-11.
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  4.  9
    Secure Communication Scheme Based on a New 5D Multistable Four-Wing Memristive Hyperchaotic System with Disturbance Inputs.Fei Yu, Zinan Zhang, Li Liu, Hui Shen, Yuanyuan Huang, Changqiong Shi, Shuo Cai, Yun Song, Sichun Du & Quan Xu - 2020 - Complexity 2020:1-16.
    By introducing a flux-controlled memristor model with absolute value function, a 5D multistable four-wing memristive hyperchaotic system with linear equilibrium points is proposed in this paper. The dynamic characteristics of the system are studied in terms of equilibrium point, perpetual point, bifurcation diagram, Lyapunov exponential spectrum, phase portraits, and spectral entropy. This system is of the group of systems that have coexisting attractors. In addition, the circuit implementation scheme is also proposed. Then, a secure communication scheme based on the proposed (...)
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  5.  7
    CCII and FPGA Realization: A Multistable Modified Fourth-Order Autonomous Chua’s Chaotic System with Coexisting Multiple Attractors.Fei Yu, Hui Shen, Li Liu, Zinan Zhang, Yuanyuan Huang, Binyong He, Shuo Cai, Yun Song, Bo Yin, Sichun Du & Quan Xu - 2020 - Complexity 2020:1-17.
    In this paper, a multistable modified fourth-order autonomous Chua’s chaotic system is investigated. In addition to the dynamic characteristics of the third-order Chua’s chaotic system itself, what interests us is that this modified fourth-order autonomous Chua’s chaotic system has five different types of coexisting attractors: double-scroll, single band chaotic attractor, period-4 limit cycle, period-2 limit cycle, and period-1 limit cycle. Then, an inductorless modified fourth-order autonomous Chua’s chaotic circuit is proposed. The active elements as well as the synthetic inductor employed (...)
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  6.  35
    Impulsive Disturbances on the Dynamical Behavior of Complex-Valued Cohen-Grossberg Neural Networks with Both Time-Varying Delays and Continuously Distributed Delays.Xiaohui Xu, Jiye Zhang, Quan Xu, Zilong Chen & Weifan Zheng - 2017 - Complexity:1-12.
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  7.  3
    Riddled Attraction Basin and Multistability in Three-Element-Based Memristive Circuit.Quan Xu, Xiao Tan, Yunzhen Zhang, Han Bao, Yihua Hu, Bocheng Bao & Mo Chen - 2020 - Complexity 2020:1-13.
    By coupling a diode bridge-based second-order memristor and an active voltage-controlled memristor with a capacitor, a three-element-based memristive circuit is synthesized and its system model is then built. The boundedness of the three-element-based memristive circuit is theoretically proved by employing the contraction mapping principle. Besides, the stability distributions of equilibrium points are theoretically and numerically expounded in a 2D parameter plane. The results imply the memristive circuit has a zero unstable saddle focus and a pair of nonzero stable node-foci or (...)
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  8.  7
    Robust Exponential Stability of Switched Complex-Valued Neural Networks with Interval Parameter Uncertainties and Impulses.Xiaohui Xu, Huanbin Xue, Yiqiang Peng, Quan Xu & Jibin Yang - 2018 - Complexity 2018:1-12.
    In this paper, dynamic behavior analysis has been discussed for a class of switched complex-valued neural networks with interval parameter uncertainties and impulse disturbance. Sufficient conditions for guaranteeing the existence, uniqueness, and global robust exponential stability of the equilibrium point have been obtained by using the homomorphism mapping theorem, the scalar Lyapunov function method, the average dwell time method, and M-matrix theory. Since there is no result concerning the stability problem of switched neural networks defined in complex number domain, the (...)
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  9.  41
    Theory on the Cultivation of Cognitive Subjects in Chinese Philosophy.Quanxing Xu - 2008 - Frontiers of Philosophy in China 3 (1):39-54.
    The epistemology in Chinese philosophy remarkably emphasizes the cultivation of cognitive subjects. According to such epistemology, intelligence arises from benevolence, and thus morality should be valued to gain knowledge. In this way, epistemology is integrated with theories of values and cultivation. The cultivation of cognitive subjects in Chinese philosophy mainly involves a stance, attitudes, ways of thinking and feelings of a cognitive subject. To expatiate and develop the theory of the cultivation of cognitive subjects in Chinese philosophy has much meaning (...)
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