Distributed consensus of heterogeneous switched nonlinear multiagent systems with input quantization and DoS attacks

Guo, Shiyu; Zhao, Xudong; Wang, Huanqing; Xu, Ning

doi:10.1016/j.amc.2023.128127

Cited by 44 publications

(18 citation statements)

References 37 publications

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“…Remark Many works focus on the research of MASs with fixed topology, 26,27 but the actual system may be affected by unexpected situations, such as the sudden loss of control, random failure, communication interruption of one or more agents, which will lead to the change of communication topology between agents. One method of describing this random time‐varying topology is using MST 28 .…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Consensus control of nonlinear multi‐agent systems with semi‐Markov switching topology and incremental quadratic constraints

Huang,

Li,

Zhao

et al. 2023

Intl J Robust & Nonlinear

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The consensus problem of nonlinear multi‐agent systems with incremental quadratic constraints and semi‐Markov switching topology is discussed in this article. In order to simulate the delay of the communication network in the actual system, the nonlinear function, which contains the delay term is considered in this article. The control protocol is designed based on the dynamics of the adjacent agent states and the desired agent states. Through the use of the characteristics of the Kronecker product, the distributed system is converted to a centralized system. It is worth mentioning that for saving computational resources, the slack variable method is used to deal with the time‐varying transition rate, and the sufficient condition is expressed by the standard linear matrix inequality. Finally, the effectiveness of the control protocol is demonstrated by numerical simulations.

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Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Consensus control of nonlinear multi‐agent systems with semi‐Markov switching topology and incremental quadratic constraints

Huang,

Li,

Zhao

et al. 2023

Intl J Robust & Nonlinear

Self Cite

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“…For the distributed case, compared with Reference 24, our results do not need the assumptions about the derivative of the time delay. (4) We apply our results to consensus problems of switched multi‐agent systems 25,26 with time delay.…”

Section: Introductionmentioning

confidence: 99%

Stabilization of switched positive linear delay system with all subsystems unstable

Zhang,

Sun

2023

Intl J Robust & Nonlinear

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This article considers the asymptotic stability of switched positive linear time‐delay system with all subsystems unstable. By constructing new discretized co‐positive Lyapunov‐Krasovskii functions, stability conditions are derived for both the discrete time‐varying delay and distributed time‐varying delay cases. Then the results are also extended to nonpositive switched delay systems. Finally we apply our results to consensus problems of switched multi‐agent systems with time delay. We propose numerical examples to illustrate our approach.

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“…As a typical hybrid system, a switched system (Chen et al , 2022; Tang et al , 2022a; Zhao et al , 2022; Cao et al , 2023a, 2023b; Zhang et al , 2022a, 2022b, 2022c; Zhang et al , 2023a, 2023b) Ma et al ., 2021 is composed of some mutually independent subsystems and a switching rule to control which subsystem works. In contrast to non-switched systems (Zhang et al , 2022b, 2023c, 2023d; Li et al ., 2022; Cheng et al , 2023a; Wang et al , 2023; Cheng et al , 2023b; Guo et al , 2023; Li et al , 2022; Tang et al , 2022b; Tang et al , 2023), switched systems can describe more complex actual systems, such as reluctance machines, multi-robot systems and automotive steering systems. Thus, control problems of such systems have attracted the interest of many researchers.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical sliding mode-based adaptive fuzzy control for uncertain switched under-actuated nonlinear systems with input saturation and dead-zone

Yue,

Niu,

Wang

et al. 2023

RIA

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Purpose This paper aims to study the issues of adaptive fuzzy control for a category of switched under-actuated systems with input nonlinearities and external disturbances. Design/methodology/approach A control scheme based on sliding mode surface with a hierarchical structure is introduced to enhance the responsiveness and robustness of the studied systems. An equivalent control and switching control rules are co-designed in a hierarchical sliding mode control (HSMC) framework to ensure that the system state reaches a given sliding surface and remains sliding on the surface, finally stabilizing at the equilibrium point. Besides, the input nonlinearities consist of non-symmetric saturation and dead-zone, which are estimated by an unknown bounded function and a known affine function. Findings Based on fuzzy logic systems and the hierarchical sliding mode control method, an adaptive fuzzy control method for uncertain switched under-actuated systems is put forward. Originality/value The “cause and effect” problems often existing in conventional backstepping designs can be prevented. Furthermore, the presented adaptive laws can eliminate the influence of external disturbances and approximation errors. Besides, in contrast to arbitrary switching strategies, the authors consider a switching rule with average dwell time, which resolves control problems that cannot be resolved with arbitrary switching signals and reduces conservatism.

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Distributed consensus of heterogeneous switched nonlinear multiagent systems with input quantization and DoS attacks

Cited by 44 publications

References 37 publications

Consensus control of nonlinear multi‐agent systems with semi‐Markov switching topology and incremental quadratic constraints

Consensus control of nonlinear multi‐agent systems with semi‐Markov switching topology and incremental quadratic constraints

Stabilization of switched positive linear delay system with all subsystems unstable

Hierarchical sliding mode-based adaptive fuzzy control for uncertain switched under-actuated nonlinear systems with input saturation and dead-zone

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