Distributed adaptive consensus tracking for uncertain high‐order nonlinear multiagent systems with event‐triggered communication

Abstract

Summary This article investigates the distributed adaptive consensus tracking control problem for a class of high‐order nonlinear multiagent systems with unmodeled system dynamics, uncertain external disturbances, and event‐triggered communication. Under an undirected graph condition, a robust distributed adaptive consensus control scheme is proposed. To deal with the lumped system uncertainties involved in each agent, adaptive compensation techniques are adopted. Moreover, by designing a triggering condition for each agent, which only relies on individual states' changing rates, continuous monitoring of neighboring states can be avoided. It is shown that with the proposed control scheme, all the closed‐loop signals are globally uniformly bounded and all the agents' outputs can track the desired trajectory with adjustable tracking errors. Meanwhile, Zeno behavior is excluded in each agent.

Observer‐based output feedback event‐triggered consensus tracking for linear multi‐agent systems

“…Whether the consensus can be achieved is one of the fundamental problems in MASs. [5][6][7][8] Its purpose is to make the states or outputs of the system tend to an agreement on certain quantities by designing appropriate distributed control strategies. In general, the consensus control of MASs can be roughly categorized into two classes, namely, leaderless consensus and leader-follower consensus.…”

Adaptive fault‐tolerant containment control for stochastic nonlinear multi‐agent systems with input saturation

“…During the last decade, the stochastic multi-agent systems (MASs) have obtained great attention due to their applications on unmanned vehicles, unmanned air vehicles, and so on. [1][2][3][4][5][6][7][8] As one of the most basic control behaviors of MASs, the consensus control has always occupied an extremely important part. [9][10][11][12][13][14][15] The consensus problem can be roughly divided into two categories.…”

Constrained nonlinear model predictive control of pH value in wet flue gas desulfurization process

“…As we know, adaptive control can effectively deal with system uncertainties due to the ability of online estimation for uncertain parameters. 13 In currently available results, some representative adaptive control schemes on nonlinear systems can be found in Yoo, 14 Chen and Anderson, 15 Lin et al, 16 Cai et al, 17 Adetola and Guay, 18 Chang, 19 Wang et al, 20 and the references therein. However, note that these proposed results hardly consider the constraints of inputs, outputs, and state variables in the actual system.…”

“…However, system uncertainties including unknown system parameters, unmodeled system dynamics, and uncertain external disturbances inevitably exist in practice. As we know, adaptive control can effectively deal with system uncertainties due to the ability of online estimation for uncertain parameters 13 . In currently available results, some representative adaptive control schemes on nonlinear systems can be found in Yoo, 14 Chen and Anderson, 15 Lin et al, 16 Cai et al, 17 Adetola and Guay, 18 Chang, 19 Wang et al, 20 and the references therein.…”