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Safety stabilization of switched systems with unstable subsystems

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Control Theory and Technology 2022年第1期20卷 95-102页

作者： Lijun Long yiguang hong State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang110819LiaoningChina College of Information Science and Engineering Northeastern UniversityShenyang110819LiaoningChina Department of Control Science and Engineering Tongji UniversityShanghai201804China

This paper is concerned with the problem of safety stabilization for switched systems where the solvability of the problem under study for individual subsystems is not assumed.A new state-dependent switching strategy with guaranteed dwell-time for switched systems is constructed,and a sufficient condition for absence of Zeno behavior is ***,a novel switched control design method is proposed to simultaneously guarantee the safety of the switched closed-loop system and stabilize the system based on the union of a common barrier function and a single Lyapunov function,which effectively handles the conflict between safety and stability ***,two examples are presented to demonstrate the effectiveness of the proposed design approach.

关键词： Safety stabilization Switched systems Common barrier function Single Lyapunov function State-dependent switching

Distributed Algorithm for Robust Resource Allocation with Polyhedral Uncertain Allocation Parameters

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Journal of Systems Science & Complexity 2018年第1期31卷 103-119页

作者： ZENG Xianlin YI Peng hong yiguang School of Automation Beijing Institute of Technology Beijing 100081 China Department of Electrical and Systems Engineering Washington University in St. Louis St. Louis MO 63130 USA Key Laboratory of Systems and Control Institute of Systems Science Chinese Academy of Sciences Beijing 100190 China

This paper studies a distributed robust resource allocation problem with nonsmooth objective functions under polyhedral uncertain allocation parameters. In the considered distributed robust resource allocation problem, the（nonsmooth） objective function is a sum of local convex objective functions assigned to agents in a multi-agent network. Each agent has a private feasible set and decides a local variable, and all the local variables are coupled with a global affine inequality constraint,which is subject to polyhedral uncertain parameters. With the duality theory of convex optimization,the authors derive a robust counterpart of the robust resource allocation problem. Based on the robust counterpart, the authors propose a novel distributed continuous-time algorithm, in which each agent only knows its local objective function, local uncertainty parameter, local constraint set, and its neighbors＇ information. Using the stability theory of differential inclusions, the authors show that the algorithm is able to find the optimal solution under some mild conditions. Finally, the authors give an example to illustrate the efficacy of the proposed algorithm.

关键词： Distributed optimization resource allocation robust optimization polyhedral uncertain parameters nonsmooth optimization

Distributed regression estimation with incomplete data in multi-agent networks

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Science China(Information Sciences) 2018年第9期61卷 168-181页

作者： Yinghui WANG Peng LIN yiguang hong University of Chinese Academy of Sciences Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences

In this paper, distributed regression estimation problem with incomplete data in a time-varying multi-agent network is investigated. Regression estimation is carried out based on local agent information with incomplete in the non-ignorable mechanism. By virtue of gradient-based design and adaptive filter, a distributed algorithm is proposed to deal with a regression estimation problem with incomplete data. With the help of convex analysis and stochastic approximation techniques, the exact convergence is obtained for the proposed algorithm with incomplete data and a jointly-connected multi-agent topology. Moreover, online regret analysis is also given for real-time learning. Then, simulations for the proposed algorithm are also given to demonstrate how it can solve the estimation problem in a distributed way, even when the network configuration is time-varying.

关键词： multi-agent systems time-varying network estimation with incomplete data online learning stochastic approximation

Equalizer Zero-Determinant Strategy in Discounted Repeated Stackelberg Asymmetric Game

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Journal of Systems Science & Complexity 2024年第1期37卷 184-203页

作者： CHENG Zhaoyang CHEN Guanpu hong yiguang Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology10044 StockholmSweden. Department of Control Science and Engineering Tongji UniversityShanghai 201804China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 210201China

This paper focuses on the performance of equalizer zero-determinant(ZD)strategies in discounted repeated Stackelberg asymmetric *** the leader-follower adversarial scenario,the strong Stackelberg equilibrium(SSE)deriving from the opponents’best response(BR),is technically the optimal strategy for the ***,computing an SSE strategy may be difficult since it needs to solve a mixed-integer program and has exponential complexity in the number of *** this end,the authors propose an equalizer ZD strategy,which can unilaterally restrict the opponent’s expected *** authors first study the existence of an equalizer ZD strategy with one-to-one situations,and analyze an upper bound of its performance with the baseline SSE *** the authors turn to multi-player models,where there exists one player adopting an equalizer ZD *** authors give bounds of the weighted sum of opponents’s utilities,and compare it with the SSE ***,the authors give simulations on unmanned aerial vehicles(UAVs)and the moving target defense(MTD)to verify the effectiveness of the proposed approach.

关键词： Discounted repeated Stackelberg asymmetric game equalizer zero-determinant strategy strong Stackelberg equilibrium strategy

TARGET AGGREGATION OF SECOND-ORDER MULTI-AGENT SYSTEMS WITH SWITCHING INTERCONNECTION

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Journal of Systems Science & Complexity 2012年第3期25卷 430-440页

作者： Youcheng LOU yiguang hong Guodong SHI Key Lab of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of Sciences ACCESS Linnaeus Centre School of Electrical EngineeringRoyal Institute of Technology

In this paper, the target aggregation is investigated for a multi-agent system consisting of second-order agents and multiple leaders. Sufficient conditions are proposed to make the agents approach the target set spanned by these moving leaders. With the condition on switching interconnection topologies, all mobile agents can asymptotically track the dynamical target set specified by multiple moving leaders with bounded error. Moreover, discussion on the case with static leaders is also given.

关键词： Multi-agent systems multiple leaders switching interconnection topologies target ag-gregation.

Design of tracking observers for locally jointly observable systems

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Control Theory and Technology 2020年第4期18卷 390-398页

作者： Dabo Xu Xinghu Wang yiguang hong School of Automation Nanjing University of Science and TechnologyNanjing 210094JiangsuChina Department of Automation University of Science and Technology of ChinaHefei 230027AnhuiChina Key Laboratory of Systems and Control Chinese Academy of SciencesBeijing 100190China

This paper considers distributed state estimation of continuous-ime linear system monitored by a network of multiple *** sensor can only acess lcall parial measurement ouput of the system and efecively communicates with its neighbors to cooperatively achieve the asymptotic estimation of the target full system *** a constrcive design,we shall incorporate the concept of system immersions and propose a class of distrbuted tracking observers for the problem under a reasonable condition of the loala joint ***,as a dirct aplication of the proposed observer design,we further present an interesting leader fllowing consensus design for muti agent system.

关键词： Observer Estimation Distributed control Immersion Invariance Consensus

Learning implicit information in Bayesian games with knowledge transfer

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Control Theory and Technology 2020年第3期18卷 315-323页

作者： Guanpu CHEN Kai CAO yiguang hong Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

In this paper,we consider to learn the inherent probability distribution of types via knowledge transfer in a two-player repeated Bayesian game,which is a basic model in network *** the Bayesian game,the attacker's distribution of types is unknown by the defender and the defender aims to reconstruct the distribution with historical *** is dificult to calculate the distribution of types directly since the distribution is coupled with a prediction function of the attacker in the game ***,we seek help from an interrelated complete-information game,based on the idea of transfer *** provide two different methods to estimate the prediction function in difftrent concrete conditions with knowledge *** obtaining the estimated prediction function,the deiender can decouple the inherent distribution and the prediction function in the Bayesian game,and moreover,reconstruct the distribution of the attacker's ***,we give numerical examples to illustrate the effectiveness of our methods.

关键词： Bayesian game repeated game knowledge transfer security

A novel opinion model for complex macro-behaviors of mass opinion

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Science China(Information Sciences) 2021年第2期64卷 261-263页

作者： Yu XING yiguang hong Haitao FANG Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences

Dear editor,Opinion evolution is ubiquitous in everyday life. People often alter their attitudes or behaviors such that they can be more similar to or different from others. These processes of social influence may occur because of several reasons, e.g.,persuasion and conformity. In fact, opinion dynamics concerns important topics in social sciences, such as community cleavage, political opinion, and social organization [1–3].Therefore, various mathematical models have been proposed to reveal the underlying mechanisms [1, 4].

关键词： Social networks Opinion dynamics DeGroot model Friedkin-Johnson model Mass opinion Macro-behavior

Non-smooth finite-time stabilization for a class of nonlinear systems

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Science in China(Series F) 2006年第1期49卷 80-89页

作者： hong yiguang WANG Jiankui Lab of Systems and Control Institute of Systems Science Chinese Academy of Sciences. Beijing 100080China

In this paper, global finite-time stabilization problem for a large class of nonlinear control systems is considered. An iterative design approach is given based on Lyapunov function. The finite time stabilizing contr... 详细信息

关键词： finite-time control p normal form global stabilization.