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Bipartite Consensus of nonlinear Discrete-time Multi-agent Systems via Variable Impulsive Control

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2022年第2期20卷 461-471页

作者： Xu, Ziqiang Li, Chuandong Li, Yun Han, Yiyan Hu, Xiang Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing Key Lab Mobile Commun Technol Chongqing 400065 Peoples R China Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Informat Proc & Intelligent Control Minist Educ Wuhan 430070 Peoples R China

This paper addresses the bipartite consensus of the nonlinear discrete-time multi-agent systems on network where cooperation and confrontation exist simultaneously. The communication graph has negative weights to represent antagonistic interaction among agents. Two kinds of distributed variable impulsive protocols are designed for case with leader and leaderless. Compared with existing fixed-time impulsive protocols, the action instant of variable impulsive protocol is in a time window and not fixed, which is more suitable for practical application. By employing Lyapunov function approach and comparison system theorem, the results reveal that the bipartite leaderless consensus and bipartite tracking consensus can be achieved. Meanwhile, the rate of bipartite consensus possess the characteristic of exponential, if some conditions are met. Finally, the effectiveness of the consensus analysis is verified by three simulation examples.

关键词： Bipartite consensus discrete-time multi-agent systems various impulsive control

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Two-memristor-based Chua's hyperchaotic circuit with plane equilibrium and its extreme multistability

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nonlinear DYNAMICS 2017年第2期89卷 1157-1171页

作者： Bao, Bocheng Jiang, Tao Wang, Guangyi Jin, Peipei Bao, Han Chen, Mo Changzhou Univ Sch Informat Sci & Engn Changzhou 213164 Peoples R China Hangzhou Dianzi Univ Inst Modern Circuits & Intelligent Informat Key Lab RF Circuits & Syst Minist Educ China Hangzhou 310018 Zhejiang Peoples R China

This paper presents a novel fifth-order two-memristor-based Chua's hyperchaotic circuit, which is synthesized from an active band pass filter-based Chua's circuit through replacing a nonlinear resistor and a linear resistor with two different memristors. This physical circuit has a plane equilibrium and therefore emerges complex phenomenon of extreme multistability. Based on the mathematical model, stability distributions of three nonzero eigenvalues in the equilibrium plane are exhibited, from which it is observed that four different stability regions with unstable saddle-focus, and stable and unstable node-focus are distributed, thereby leading to coexisting phenomenon of infinitely many attractors. Furthermore, extreme multistability depending on two-memristor initial conditions is investigated by bifurcation diagrams and Lyapunov exponent spectra and coexisting infinitely many attractors' behavior is revealed by phase portraits and attraction basins. At last, a hardware circuit is fabricated and some experimental observations are captured to verify that extreme multistability indeed exists in the two-memristor-based Chua's hyperchaotic circuit.

关键词： Memristive circuit Plane equilibrium Infinitely many attractor Extreme multistability

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Initial condition-dependent dynamics and transient period in memristor-based hypogenetic jerk system with four line equilibria

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COMMUNICATIONS IN nonlinear SCIENCE AND NUMERICAL SIMULATION 2018年第Apr.期57卷 264-275页

作者： Bao, Han Wang, Ning Bao, Bocheng Chen, Mo Jin, Peipei Wang, Guangyi Changzhou Univ Sch Informat Sci & Engn Changzhou 213164 Peoples R China Hangzhou Dianzi Univ Inst Modern Circuits & Intelligent Informat Minist Educ China Key Lab RF Circuits & Syst Hangzhou 310018 Zhejiang Peoples R China

Memristor-based nonlinear dynamical system easily presents the initial condition-dependent dynamical phenomenon of extreme multistability, i.e., coexisting infinitely many attractors, which has been received much attention in recent years. By introducing an ideal and active flux-controlled memristor into an existing hypogenetic chaotic jerk system, an interesting memristor-based chaotic system with hypogenetic jerk equation and circuit forms is proposed. The most striking feature is that this system has four line equilibria and exhibits the extreme multistability phenomenon of coexisting infinitely many attractors. Stability of these line equilibria are analyzed, and coexisting infinitely many attractors' behaviors with the variations of the initial conditions are investigated by bifurcation diagrams, Lyapunov exponent spectra, attraction basins, and phased portraits, upon which the forming mechanism of extreme multistablity in the memristor-based hypogenetic jerk system is explored. Specially, unusual transition behavior of long term transient period with steady chaos, completely different from the phenomenon of transient chaos, can be also found for some initial conditions. Moreover, a hardware circuit is design and fabricated and its experimental results effectively verify the truth of extreme multistablity. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Extreme multistability Line equilibrium Transient period Memristor-based hypogenetic jerk system

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Privacy protection for 3D point cloud classification based on an optical chaotic encryption scheme

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OPTICS EXPRESS 2023年第5期31卷 8820-8843页

作者： Liu, Bocheng Liu, Yongxiang Xie, Yiyuan Jiang, Xiao Ye, Yichen Song, Tingting Chai, Junxiong Liu, Meng Feng, Manying Yuan, Haodong Southwest Univ Sch Elect & Informat Engn Chongqing 400715 Peoples R China Univ Chongqing Key Lab Networks & Cloud Comp Secur Chongqing 400715 Peoples R China Chongqing Key Lab Nonlinear Circuits & Intelligent Chongqing 400715 Peoples R China Chongqing Normal Univ Sch Comp & Informat Sci Chongqing 401331 Peoples R China

In allusion to the privacy and security problems in 3D point cloud classification, a novel privacy protection method for 3D point cloud classification based on optical chaotic encryption scheme is proposed and implemented in this paper for the first time. The mutually coupled spin-polarized vertical-cavity surface-emitting lasers (MC-SPVCSELs) subject to double optical feedback (DOF) are studied to generate optical chaos for permutation and diffusion encryption process of 3D point cloud. The nonlinear dynamics and complexity results demonstrate that the MC-SPVCSELs with DOF have high chaotic complexity and can provide tremendously large key space. All the test-sets of ModelNet40 dataset containing 40 object categories are encrypted and decrypted by the proposed scheme, and then the classification results of 40 object categories for original, encrypted, and decrypted 3D point cloud are entirely enumerated through the PointNet++. Intriguingly, the class accuracies of the encrypted point cloud are nearly all equal to 0.0000% except for the plant class with 100.0000%, indicating the encrypted point cloud cannot be classified and identified. The decryption class accuracies are very close to the original class accuracies. Therefore, the classification results verify that the proposed privacy protection scheme is practically feasible and remarkably effective. Additionally, the encryption and decryption results show that the encrypted point cloud images are ambiguous and unrecognizable, while the decrypted point cloud images are identical to original images. Moreover, this paper improves the security analysis via analyzing 3D point cloud geometric features. Eventually, various security analysis results validate that the proposed privacy protection scheme has high security level and good privacy protection effect for 3D point cloud classification.(c) 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： Clouds Optical feedback Power spectra Remote sensing Spontaneous emission Vertical cavity surface emitting lasers

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Dynamic group consensus for delayed heterogeneous multi-agent systems in cooperative-competitive networks via pinning control

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NEUROCOMPUTING 2021年 443卷 1-11页

作者： Ji, Lianghao Tong, Shuo Li, Huaqing Chongqing Univ Posts & Telecommun Chongqing Key Lab Image Cognit Chongqing 400065 Peoples R China Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing 400715 Peoples R China

Distinguished from the stationary group consensus problem, in this paper, the dynamic group consensus for a class of heterogeneous multi-agent systems under the influence of input time delays is investigated. A novel dynamic group consensus protocol is designed, where the coexisted cooperation and competition interaction relationships among the agents are considered. Two cases including identical and diverse input time delays are discussed, respectively. Based on matrix theory, system stability theory and pinning control strategy, some sufficient conditions for the heterogeneous systems are established to achieve dynamic group consensus asymptotically. The obtained results reveal that the achievement of systems' dynamic group consensus is related to systems control parameters, the in-degree and input time delays of the agents. Finally, the effectiveness of our theoretical results is verified by some numerical simulations. (c) 2021 Elsevier B.V. All rights reserved.

关键词： Cooperation-competition interaction Heterogeneous multi-agent systems Dynamic group consensus Input delays Pinning control

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Accelerated Distributed Optimization over Directed Graphs with Row and Column-Stochastic Matrices

Accelerated Distributed Optimization over Directed Graphs wi...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Hu, Jinhui Zhu, Yifan Li, Huaqing Wang, Zheng Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing Peoples R China

ISBN: (纸本)9781728124858

In this paper, we study distributed optimization problem over multi-agent networks where the goal is to find the global optimal of a sum of convex functions over strongly connected and directed graphs. A novel distributed algorithm is proposed where both row and column-stochastic matrices are utilized to bypass the limits of the implementation of doubly-stochastic matrices or eigenvector estimation in related work. Besides, it has an evident expression and accelerated convergence by introducing the momentum term. Combining the Generalized Small Gain Theorem with Linear Time Invariant (LTI) system inequality, the algorithm is proved to be able to linearly converge to the exact optimal solution. Furthermore, the ranges of step-size and momentum paramater are characterized, respectively. Finally, simulation results illustrate effectiveness of the method and correctness of theoretical analysis.

关键词： distributed optimization directed graphs accelerated convergence linear convergence momentum

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Distributed Neuro-Dynamic Algorithm for Price-Based Game in Energy Consumption System

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NEURAL PROCESSING LETTERS 2020年第1期51卷 559-575页

作者： Wen, Shifan He, Xing Huang, Tingwen Southwest Univ Sch Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Texas A&M Univ Qatar Doha 5825 Qatar

In this paper, a plug-in hybrid electric vehicles energy consumption system is studied. In order to protect each player's privacy, the information exchange is going on the neighboring players, and a connected undirected graph is used to pattern the information flow between the players. Hence, it is impossible for each player to access the aggregate electricity consumption directly, which determines the electricity price. Under the noncooperative game frame, a distributed neuro-dynamic algorithm is proposed to optimize the benefit of each individual player base on the pricing strategies. A dynamic average consensus is applied to estimate the aggregate consumption and a projection neural network is employed to seek the Nash equilibrium point. The convergence of the proposed distributed algorithm is analyzed through the Lyapunov stability analysis. Finally, the effectiveness of the distributed neuro-dynamic algorithm is manifested in the simulation.

关键词： Distributed neuro-dynamic algorithm Dynamic average consensus Projection neural network Noncooperative game Nash equilibrium

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Finite-time stabilization of uncertain neural networks with distributed time-varying delays

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NEURAL COMPUTING & APPLICATIONS 2017年第1-Sup期28卷 S1155-S1163页

作者： Yang, Shiju Li, Chuandong Huang, Tingwen Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing 400715 Peoples R China Texas A&M Univ Qatar Doha 23874 Qatar

In this paper, the problem of finite-time stabilization for a class of uncertain neural networks with distributed time-varying delays is investigated. Based on the Lyapunov stability theory and integral inequality technique, some sufficient LMI conditions are derived to ensure the finite-time stability of considered neural networks. In addition, the upper bound of the settling time for stabilization is estimated. Numerical simulations are carried out to demonstrate the effectiveness of the obtained results.

关键词： Uncertain neural networks (UNNs) Finite-time stabilization Distributed time-varying delays Settling time

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A continuous-time consensus algorithm using neurodynamic system for distributed time-varying optimization with inequality constraints

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JOURNAL OF THE FRANKLIN INSTITUTE 2021年第13期358卷 6741-6758页

作者： He, Shuang He, Xing Huang, Tingwen Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Texas A&M Univ Qatar Doha 5825 Qatar

In this paper, a distributed time-varying convex optimization problem with inequality constraints is discussed based on neurodynamic system. The goal is to minimize the sum of agents & rsquo;local time varying objective functions subject to some time-varying inequality constraints, each of which is known only to an individual agent. Here, the optimal solution is time-varying instead of constant. Under an undirected and connected graph, a distributed continuous-time consensus algorithm is designed by using neurodynamic system, signum functions and log-barrier penalty functions. The proposed algorithm can be understood through two parts: one part is used to reach consensus and the other is used to achieve gradient descent to track the optimal solution. Theoretical studies indicate that all agents will achieve consensus and the proposed algorithm can track the optimal solution of the time-varying convex problem. Two numerical examples are provided to validate the theoretical results. (c) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： Continuous time systems

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Impulsive Synchronization for TS Fuzzy Model of Memristor-based Chaotic Systems with Parameter Mismatches

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2016年第3期14卷 854-864页

作者： Yang, Shiju Li, Chuandong Huang, Tingwen Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Texas A&M Univ Qatar Doha 23874 Qatar

In this paper, the effect of parameter mismatch on the impulsive synchronization for TS fuzzy model of memristor-based chaotic system is investigated and some new and useful criteria are derived. Moreover, using the linear decomposition and comparison system methods, the global quasisynchronization for memristor-based chaotic systems based on the TS fuzzy model in the presence of parameter mismatch is discussed. Finally, numerical simulation results are presented to illustrate the effectiveness of the theoretical results.

关键词： Impulsive synchronization memristor-based chaotic systems parameter mismatch TS fuzzy model

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