Fault-tolerant leader-following consensus for multi-agent systems subject to semi-Markov switching topologies: An event-triggered control scheme

Shen, Hao; Wang, Yuan; Xia, Jianwei; Park, Ju H.; Wang, Zhen

doi:10.1016/j.nahs.2019.05.003

Cited by 115 publications

(61 citation statements)

References 34 publications

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“…Here, the above inequality is realized by Lemma 2. Evidently, it follows from (10) and Lemma 3 that V 1 (t) achieves zero in fixed time, which means that the sliding mode s (t) = 0 will be kept in fixed time. Its upper bound is…”

Section: B Bipartite Containment For Second-order Systems With Distumentioning

confidence: 88%

Fixed-Time Bipartite Containment of Multi-Agent Systems Subject to Disturbance

Wang

Zhan

et al. 2020

IEEE Access

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This paper studies the bipartite containment of multi-agent systems (MASs) subject to the bounded disturbance. Different from the subsistent related works on this topic, the settling time irrespective of initial value can be calculated in advance. Two distributed control algorithms are provided correspondingly for the first-order systems and second-order systems. Based on algebraic theory, properties of the Laplacian matrix and fixed-time stability theory, it shows that fixed-time bipartite containment can be achieved via the presented control law. Simulations are eventually employed to prove the correctness and effectiveness of theoretical results.

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Section: B Bipartite Containment For Second-order Systems With Distumentioning

confidence: 88%

Fixed-Time Bipartite Containment of Multi-Agent Systems Subject to Disturbance

Wang

Zhan

et al. 2020

IEEE Access

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“…However, in practical applications, the agents are usually equipped with digital microprocessor, resulting in limited energy storage and communication resources. In order to avoid excessive information transmission and reduce the consumption of communication resources, an effective method is to use event‐triggered strategies to determine the updates of the controller 15‐34 . Dimarogonas et al 16 presented centralized and distributed event‐triggered strategies to ensure consensus of first‐order model and generalize the results to self‐triggered case.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered mean square consensus of linear multiagent systems with measurement noises

2020

Adaptive Control & Signal

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Summary This article investigates mean square consensus of linear multiagent systems with measurement noises based on event‐triggered control. Considering various uncertain factors in the communication environment, multiplicative noises exists in the information that each agent measures from its neighbors. In order to save limited resources and to exclude the Zeno phenomenon, the update of the controller for each agent is driven by properly defined event‐triggered condition. Sufficient conditions are given to ensure exponential mean square consensus of multiagent systems with multiplicative noises by utilizing static and dynamic event‐triggered scheme. The interevent times of static event‐triggered mechanism is less than those of corresponding dynamic case for each agent. Finally, validity of the theoretical results is illustrated through a simulation example.

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“…In the last decade, the research of neural networks [1]- [3] have become a hot topic, at the same time, researchers have been investigated the control problems of various systems, for example, physical systems [4], Takagi-Sugeno fuzzy systems [5], [6], nonlinear systems [7], multi-agent systems [8], [9], and networked systems [10]- [12]. Networked control systems (NCSs) have been well developed in many fields, such as telemedicine [13], [14], automatic current regulation [15], [16], industrial control [17]- [19].…”

Section: Introductionmentioning

confidence: 99%

Performance of SIMO Networked Time-Delay Systems With Encoding–Decoding and Quantization Constraints

Zhan

et al. 2020

IEEE Access

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In this paper, the performance of the single-input multiple-output (SIMO) networked timedelay systems is investigated. The performance is related to the internal factors, communication parameters and reference signals, and the boundary is related to the adjustment factors. Some new results are derived according to the inner-outer factorization and Cauchy's Theorem of two degrees-of-freedom controller. The results show that the performance is in connection with the inner factor (unstable poles, non-minimum phase zeros of the system). It is also demonstrated that the modified performance will be badly degraded by feedback channel quantization and adjustment factor constraints, and encoding-decoding is beneficial to the modified performance. INDEX TERMS Networked time-delay systems, modified performance, inner-outer factorization, SIMO.

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Fault-tolerant leader-following consensus for multi-agent systems subject to semi-Markov switching topologies: An event-triggered control scheme

Cited by 115 publications

References 34 publications

Fixed-Time Bipartite Containment of Multi-Agent Systems Subject to Disturbance

Fixed-Time Bipartite Containment of Multi-Agent Systems Subject to Disturbance

Event‐triggered mean square consensus of linear multiagent systems with measurement noises

Performance of SIMO Networked Time-Delay Systems With Encoding–Decoding and Quantization Constraints

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