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Design of robust nonfragile H∞ controller for uncertain nonlinear polynomial systems

OPTIMAL CONTROL APPLICATIONS & METHODS 2019年第1期40卷 55-67页

作者： Rezgui, Marwa Ayadi, Hela Belkhiria Braiek, Naceur Benhadj Univ Carthage Tunisia Polytech Sch EPT LSA Adv Syst Lab La Marsa 2078 Tunisia

This paper is concerned with the robust H-infinity nonfragile controller design for a particular class of nonlinear systems, namely, the perturbed polynomial systems, which are subject to unstructured bounded uncertainties in both the system model and the control law. Combining the Lyapunov stability theory, properties of linear matrix inequality, and Kronecker product properties, a sufficient condition of robust H-infinity nonfragile control design is proposed. More specifically, we propose a robust H-infinity controller of nonlinear polynomial systems with additive unstructured uncertainties and variation in the control law itself that guarantee the stability and the attenuation of external perturbations. Two examples are provided to illustrate the effectiveness of the proposed approach.

关键词： H-infinity control Kronecker product linear matrix inequalities nonfragile controller nonlinear polynomial systems robust control

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Leader-following Non-fragile Consensus Control of Fuzzy Multi-agent Fractional Order Interval Systems

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2024年第2期22卷 722-729页

作者： Wang, Zhe Zhang, Xuefeng Wang, Qing-Guo Xue, Dingyu Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ Coll Sci Shenyang 110819 Liaoning Peoples R China Beijing Normal Univ Zhuhai Inst Artificial Intelligence & Future Networks Zhuhai 519087 Peoples R China BNU HKBU United Int Coll Zhuhai 519087 Peoples R China

The consensus control of fuzzy multi-agent fractional order interval systems (MA-FOISs) is proposed in this brief. Firstly, a new model of fuzzy MA-FOISs based on the non-fragile observer is presented. Then, by using the technologies of generalised matrix singular value decomposition (SVD) and linear matrix inequalities (LMIs), the sufficient conditions for determining the consensus of fuzzy MA-FOISs are given through the equivalence of the stability and the consensus of multi-agent systems (MASs). Moreover, when the actual system does not need to be described by the fuzzy set, the consensus conditions for the MA-FOISs are given. Finally, the validity of the results given are illustrated by the numerical example.

关键词： Fractional order interval systems fuzzy systems linear matrix inequality multi-agent systems nonfragile controller

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Finite-Time nonfragile Synchronization Control of Time-Varying Delays T-S Fuzzy Discrete Chaotic Network Systems With Deception Attacks

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IEEE ACCESS 2024年 12卷 154650-154661页

作者： Wu, Xiru Liu, Haopeng Lu, Yi Guilin Univ Elect Technol Sch Elect Engn & Automat Guilin 541004 Peoples R China

This article addresses the finite-time nonfragile synchronization control of time-varying delays T-S fuzzy discrete chaotic network systems(TSFDCNSs) with random deception attacks. Aiming at the security threats caused by network attacks in network system, a nonfragile feedback controller is designed considering random deception attacks. In order to reduce communication resource consumption effectively, an adaptive event triggering method is proposed based on adaptive threshold parameters. Under the Lyapunov-Krasovskii functional and linear matrix inequality, we derive sufficient conditions for the finite-time synchronization of TSFDCNSs. Finally, two examples are given to validate the proposed modes.

关键词： Synchronization Chaotic communication Couplings Network systems Delays Linear matrix inequalities Adaptive control Finite-time synchronization T-S fuzzy model chaotic network systems nonfragile controller deception attacks

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Event-Triggered Exponential Synchronization of nonfragile Neural Networks

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AUTOMATIC CONTROL AND COMPUTER SCIENCES 2023年第3期57卷 222-233页

作者： Chang, Chenlei Yao, Zheng Liu, Chengyuan North China Univ Sci & Technol Tangshan Peoples R China

Based on event-triggered mechanism, the exponential synchronization for a class of neural networks (NNs) with distributed and discrete delays under nonfragile controller is researched in this article. Firstly, whether the controller gain disturbance occurs or not is described by a random variable, which obeys the Bernoulli distribution. Secondly, the event-triggered mechanism is introduced into the exponential synchronization of NNs. Next, based on the characteristics of sawtooth structure, a new bilateral Lyapunov-Krasovskii functional (LKF) is constructed, which involves more system information. Through the use of improved integral inequality, some sufficient conditions are achieved for the exponential stability of the synchronization error system. Then, a nonfragile controller is designed based on the decoupling technique. Finally, two examples are used to illustrate the validity and superiority of these results.

关键词： synchronization neural networks nonfragile controller event-triggered mechanism Lyapunov-Krasovskii functional

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Further Studies on Sampled-Data Consensus of Multi-Agent Systems With Communication Delays

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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2022年 8卷 920-931页

作者： Liu, Yajuan Li, Jiayu Fang, Fang Park, Ju H. North China Elect Power Univ Sch Control & Comp Engn Beijing Peoples R China Yeungnam Univ Dept Elect Engn Kyongsan 38541 South Korea

To lower the computational burden and weaken the impact of uncertainties of controllers on system stability, a novel nonfragile sampled-data control scheme is presented for multi-agent systems (MASs) with communication delays. A modified looped-functional, where some matrices are not required to be positive, is introduced by fully utilizing the state information of some intervals. Furthermore, based on the constructed Lyapunov functional, together with the free weighting matrix method, the improved sufficient conditions for consensus of the MASs are derived in the form of linear matrix inequalities (LMIs). Finally, two numerical simulations are used to illustrate the better performance of the proposed methods than other existing literature.

关键词： Multi-agent systems consensus nonfragile controller sampled-data information linear matrix inequality

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nonfragile Sampled-Data Control of T-S Fuzzy Systems With Time Delay

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IEEE TRANSACTIONS ON FUZZY SYSTEMS 2022年第8期30卷 3202-3210页

作者： Qiu, Yunfei Hua, Changchun Wang, Yibo Yanshan Univ Inst Elect Engn Qinhuangdao 066004 Hebei Peoples R China

To reduce the influence of controller uncertainties and lower the computational burden of the system, a novel nonfragile sampled-data control scheme is proposed in this article for the Tagaki-Sugeno fuzzy system with time delay. First, an improved Lyapunov-Krasovskii functional is established with adjusted looped functional, which contains not only the current states, but the delayed states. Then, utilizing the Wirtinger inequality and improved single integral inequality, the new stability criteria are proposed with less conservativeness. By calculating the solution of linear matrix inequalities, the nonfragile controller parameters can be acquired. Furthermore, the sampled-data fuzzy controller leads to a good stable performance for the system, even under the possible gain fluctuations. Finally, three examples are given to verify the effectiveness and superiority of the proposed control scheme.

关键词： Fuzzy systems Symmetric matrices Delay effects Control systems Stability criteria Power system stability Uncertainty Linear matrix inequality (LMI) nonfragile controller sampled-data control Tagaki-Sugeno (T-S) fuzzy system time delay

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Distributed Optimal Consensus Control for a Class of Uncertain Nonlinear Multiagent Networks With Disturbance Rejection Using Adaptive Technique

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2021年第7期51卷 4389-4399页

作者： Wang, Dong Wang, Zhu Wen, Changyun Dalian Univ Technol Key Lab Intelligent Control & Optimizat Ind Equip Minist Educ Dalian 116024 Peoples R China Dalian Univ Technol Sch Control Sci & Engn Dalian 116024 Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore

In this article, we consider the distributed optimal consensus problem under nominal and nonfragile cases for a class of minimum-phase uncertain nonlinear systems with unity-relative degree and disturbances generated by an external autonomous system. The involved cost function is the sum of all local cost functions associated with each individual agent. Two different edge-based distributed adaptive algorithms utilizing the internal model principle are designed to solve the problem in a fully distributed manner. Graph theory, nonsmooth analysis, convex analysis, and the Lyapunov theory are employed to show that the proposed algorithms converge accurately to the optimal solution of the considered problem. Finally, an example involving the dynamics of a Lorenz-type system is provided to demonstrate the effectiveness of the obtained results.

关键词： Graph theory Heuristic algorithms Multi-agent systems Nonlinear systems Autonomous systems Adaptive algorithms Optimization Adaptive technique distributed optimization internal model (IM) principle nonfragile controller nonlinear systems robust consensus

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nonfragile Dissipative Synchronization of Reaction-diffusion Complex Dynamical Networks with Coupling Delays

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2021年第3期19卷 1252-1263页

作者： Song, Xiaona Zhang, Renzhi Wang, Mi Lu, Junwei Henan Univ Sci & Technol Sch Informat Engn Luoyang 471023 Peoples R China Nanjing Normal Univ Sch Elect & Automat Engn Nanjing 210042 Peoples R China

This paper focuses on the synchronization of reaction-diffusion complex dynamical networks with coupling delay. In order to reflect the uncertainties of the controller, the nonfragile problem is considered. Furthermore, we also take into account the dissipativity analysis problem, which contains the H-infinity performance and passivity performance in a unified framework. By utilizing the Lyapunov functional method, two sufficient delay-dependent conditions, which ensure the considered system is globally asymptotically synchronized onto the unforced node and strictly dissipative, are established in terms of linear matrix inequality. Finally, three numerical examples are employed to demonstrate the effectiveness of the design methods.

关键词： Complex dynamical networks coupling delay dissipative synchronization nonfragile controller reaction-diffusion

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nonfragile Consensus of Multiagent Systems Based on Memory Sampled-Data Control

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2021年第1期51卷 391-399页

作者： Ge, Chao Park, Ju H. Hua, Changchun Guan, Xinping North China Univ Sci & Technol Inst Informat Engn Tangshan 063210 Peoples R China Yeungnam Univ Dept Elect Engn Gyongsan 38541 South Korea Yanshan Univ Inst Elect Engn Qinhuangdao 066004 Peoples R China Shanghai Jiao Tong Univ Dept Automat Shanghai 200030 Peoples R China

In this paper, we address the consensus tracking problem for the multiagent system (MAS) based on a nonfragile memory sampled-data controller. Considering the effect of controller gain fluctuation and communication delay, a novel sampled-data control scheme with variable sampling interval is designed for each agent. By developing some new terms, an improved piecewise Lyapunov-Krasovskii functional (LKF) is constructed to take full advantage of characteristic about real sampling pattern. Furthermore, some relaxed matrices constructed in the LKF are not necessarily positive definite. Making full use of the LKF and free-matrix-based integral inequality, some sufficient criteria are developed to ensure the consistency of the MAS. Then, by solving a group of linear matrix inequalities with the maximal sampling interval, the desired sampled-data control gain matrix is obtained. Finally, the numerical example of a 5-agent system is given to illustrate the effectiveness of the proposed approach in this paper.

关键词： Consensus Lyapunov functional memory sampled-data nonfragile controller

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nonfragile control design for consensus of semi-Markov jumping multiagent systems with disturbances

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INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 2021年第6期35卷 1039-1061页

作者： Sakthivel, Rathinasamy Parivallal, Arumugam Huy Tuan, Nguyen Manickavalli, Subramanian Bharathiar Univ Dept Appl Math Coimbatore 641046 Tamil Nadu India Anna Univ Reg Campus Dept Math Coimbatore Tamil Nadu India Thu Dau Mot Univ Div Appl Math Thu Dau Mot Vietnam

The consensus problem for multiagent systems (MASs) with semi-Markov jumping parameters under the influence of disturbances is investigated in this article. In the first part of this article, an extended dissipative approach is used for the consensus of MASs with semi-Markovian jumping parameters and external disturbances via nonfragile controller with randomly occurring gain fluctuations. Besides, in the second part of the article, the consensus of stochastic semi-Markovian jumping MASs via nonfragile controller subject to probabilistic time-varying delay is discussed. The primary motive of this article is to develop a robust controller such that the considered MASs with semi-Markov jumping parameters achieve consensus in the presence of external disturbances. For this, the chosen problems are first converted to stabilization problems then by using Lyapunov stability theory and linear matrix inequality approach, the stabilization criterion have been established. At last, two numerical examples are worked out to illustrate the efficiency of the proposed control methodologies.

关键词： multiagent systems nonfragile controller semi‐ Markov jumping parameters time‐ varying delay

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