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| 1 | Secure Impulsive Synchronization in Lipschitz-Type Multi-Agent Systems Subject to Deception Attacks显示文摘Cyber attacks pose severe threats on synchronization of multi-agent systems.Deception attack,as a typical type of cyber attack,can bypass the surveillance of the attack detection mechanism silently,resulting in a heavy loss.Therefore,the problem of mean-square bounded synchronization in multi-agent systems subject to deception attacks is investigated in this paper.The control signals can be replaced with false data from controllerto-actuator channels or the controller.The success of the attack is measured through a stochastic variable.A distributed impulsive controller using a pinning strategy is redesigned,which ensures that mean-square bounded synchronization is achieved in the presence of deception attacks.Some sufficient conditions are derived,in which upper bounds of the synchronization error are given.Finally,two numerical simulations with symmetric and asymmetric network topologies are given to illustrate the theoretical results. | Wangli He Zekun Mo Qing-Long Han Feng Qian | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，5： | 10 |
| 2 | Adaptive synchronization of a class of chaotic neural networks with known or unknown parame-ters显示文摘 | HE Wangli CAO Jinde | 2008 | Physics Letters A2008，372，4： | 1 |
| 3 | Distributed hybrid optimization for multi-agent systems显示文摘This paper addresses the distributed optimization problems of multi-agent systems using a distributed hybrid impulsive protocol.The objective is to ensure the agents achieve the state consensus and optimize the aggregate objective functions assigned for each agent with distributed manner. We establish two criteria related to the optimality condition and the impulsive gain upper estimation, and propose a distributed hybrid impulsive optimal protocol, which includes two terms: the local averaging term in the continuous interval and the term involving the gradient information at impulsive instants. The simulation results show that the optimal consensus can be realized under the distributed hybrid impulsive optimization algorithm. | TAN XueGang YUAN Yang HE WangLi CAO JinDe HUANG TingWen | 2022 | Science China(Technological Sciences)2022，65，8： | 1 |
| 4 | Adaptive synchronization of a class of chaotic neural networks with known or unknown parameters 显示文摘 | He Wangli Cao Jinde | 2008 | Physics Letters A2008，372，4： | 1 |
| 5 | Impulsive synchronization of two nonidentical chaotic systems with time-varying delay 显示文摘 | He Wangli Qian Feng Cao Jinde | 2011 | Physics Letters A2011，375，3： | 1 |
| 6 | Robust stability of genetic regulatory networks with distributed delay显示文摘 | Wangli He Jinde Cao | 2008 | Cognitive Neurodynamics2008，，4： | 1 |
| 7 | Stability and bifurcation of a class of discrete-time neural networks显示文摘 | Wangli He Jinde Cao | 2006 | Applied Mathematical Modelling2006，，10： | 1 |
| 8 | Robust Stability of Genetic Regulatory Networks with Distributed Delay显示文摘 | He Wangli Cao Jinde | 2008 | Cognitive Neuro- dynamics2008，2，4： | 1 |
| 9 | Impulsive Synchronization of Complex Dynamical Networks with Dis- tributed Delays 显示文摘 | CHU Sumei HE Wangli HAN Qinglong | 2014 | Control Conference2014，，10： | 1 |
| 10 | A Linear Algorithm for Quantized Event-Triggered Optimization Over Directed Networks显示文摘Dear Editor,This letter investigates a class of distributed optimization problems with constrained communication.A quantized discrete-time eventtriggered zero-gradient-sum algorithm(QDE-ZGS)is developed to optimize the sum of local functions over weight-balanced directed networks.Based on an encoder-decoder scheme and a zooming-in technique,an event-triggered quantization communication is designed.Theoretical analysis shows that the exact convergence to the global optimal solution is guaranteed when the triggering threshold is bounded and the scaled sequence introduced by the zooming-in technique is quadratic summable.When the scaled sequence is bounded by an exponential decay function,QDE-ZGS converges linearly to the unique global optimal solution.Numerical simulations are conducted to demonstrate the theoretical results. | Yang Yuan Liyu Shi Wangli He | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，6： | 0 |
| 11 | Event-triggered impulsive synchronization of heterogeneous neural networks显示文摘Synchronization is one of the most important dynamics in neural networks.Several scholars have studied the quasi-synchronization of heterogeneous neural networks[1],wherein external controllers play a significant role.Impulsive control,a kind of energy-saving control,is activated instantaneously only at specific discrete moments. | Zhengxin WANG Chongfang JIN Wangli HE Min XIAO Guo-Ping JIANG Jinde CAO | 2024 | Science China(Information Sciences)2024，67，2： | 0 |
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