Event-triggered output feedback consensus tracking control for nonlinear multiagent systems with sensor failures

Zheng, Yukan

doi:10.1016/j.automatica.2022.110787

Cited by 23 publications

(7 citation statements)

References 27 publications

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“…Theorem 2: Giving constants κ ≥ 1, d ≥ 0, δ > 0, γ > 0, θ > 0, and β h > 0, the trajectories of system ( 16) starting from D1 will stay in D2 for time t > d, if there exist positive definite matrices Qpj , Sbj ∈ R 2n×2n , R1pj , Rcj , Ωp , S * pj ∈ R n×n , matrices Ũgj , G ∈ R n×n , Z ϑj ∈ R l×n , such that (19) and the following inequalities hold for p…”

Section: Resultsmentioning

confidence: 99%

“…Remark 4: The overall structural illustration of FMJSs is depicted in Figure 1. Synthesizing the above two asynchronous phenomena, according to (19), a fuzzy-model-based double asynchronous switching controller is firstly presented in this paper. For different H χ and G χ(p) , the corresponding controller is:…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

“…The problem of eventbased asynchronous security control for FMJSs against multicyber attacks was investigated in [15]. It is worth mentioning that the transmission of data among sensors, controllers, and actuators via a shared communication network has become an inexorable trend in control theory [16]- [19]. However, the limited communication bandwidth of the network presents challenges to the analysis of FMJSs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Double Asynchronous Switching Control for Takagi–Sugeno Fuzzy Markov Jump Systems via Adaptive Event-Triggered Mechanism

Zhao,

Wang,

Xie

et al. 2024

IEEE Trans. Syst. Man Cybern, Syst.

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Section: Resultsmentioning

confidence: 99%

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Double Asynchronous Switching Control for Takagi–Sugeno Fuzzy Markov Jump Systems via Adaptive Event-Triggered Mechanism

Zhao,

Wang,

Xie

et al. 2024

IEEE Trans. Syst. Man Cybern, Syst.

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show abstract

“…In References 13–15, the regulation problem of the high order nonlinear multiagent systems was considered. In References 16 and 17, the control problem for nonlinear multiagent systems was investigated by using event‐triggered communication strategies.…”

Section: Introductionmentioning

confidence: 99%

Control of coupled nonaffine multiagent stochastic systems by classical PID

Yuan

2024

Intl J Robust & Nonlinear

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The classical PID (proportional‐integral‐derivative) control is the most basic and widely used control algorithm in engineering systems by far. Whether PID control can effectively deal with coupled multiagent uncertain nonlinear dynamics is well worth investigating. In this article, a class of PID controlled multiagent stochastic systems with coupled uncertain dynamics is considered, where the control input is nonaffine. Each agent has its own regulation objective, and only has access to its own regulation error information for PID feedback. First, a PID parameter set will be constructed explicitly based on some prior knowledge about the nonlinear functions, such that the overall multiagent system can be stabilized globally in the mean square sense, as long as the PID parameters are chosen from the constructed set. Moreover, the regulation error will be proven to have an upper bound proportional to the noise intensity along the reference signal. Furthermore, it will be shown that the regulation error of each agent can be arbitrarily small by choosing the PID parameters suitably large. Finally, the theoretical results will be verified by simulations.

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“…Recently, the dynamic event-triggered mechanism has been adapted to handle the output consensus problem of heterogeneous linear multi-agent systems with a directed communication topology, as in [19]. As a result of the work [20], a gain-scheduled state observer and a switching threshold event-triggered strategy were developed to handle the output feedback consensus tracking control for nonlinear MASs with sensor failures. Despite significant advancements in event-triggered strategies for general and linear MASs, there is still a lack of research when it comes to nonlinear PMASs.…”

Section: Introductionmentioning

confidence: 99%

A Proportional–Integral Observer-Based Dynamic Event-Triggered Consensus Protocol for Nonlinear Positive Multi-Agent Systems

Yang,

Huang,

et al. 2024

Axioms

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This paper investigates the state estimation and event-triggered control for positive nonlinear multi-agent systems. Firstly, a proportional–integral observer is established to estimate the states of the considered nonlinear positive multi-agent systems based on the matrix decomposition method. Then, a dynamic event-triggered mechanism is constructed, and a control protocol is proposed based on the proportional–integral observer and event-triggered mechanism. By combining linear programming with linear co-positive Lyapunov functions, the considered multi-agent systems are guaranteed to be positive and achieve consensus. Moreover, by introducing three new variables and a finite vector, the final convergence point can be changed based on the given vector. Finally, two illustrative examples demonstrate the validity of the proposed theoretical results.

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Event-triggered output feedback consensus tracking control for nonlinear multiagent systems with sensor failures

Cited by 23 publications

References 27 publications

Double Asynchronous Switching Control for Takagi–Sugeno Fuzzy Markov Jump Systems via Adaptive Event-Triggered Mechanism

Double Asynchronous Switching Control for Takagi–Sugeno Fuzzy Markov Jump Systems via Adaptive Event-Triggered Mechanism

Control of coupled nonaffine multiagent stochastic systems by classical PID

A Proportional–Integral Observer-Based Dynamic Event-Triggered Consensus Protocol for Nonlinear Positive Multi-Agent Systems

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