Distributed adaptive neural consensus tracking control of MIMO stochastic nonlinear multiagent systems with actuator failures and unknown dead zones

Abstract

SummaryThis paper focuses on the leader‐following consensus control problem of stochastic multiagent systems with unknown input dead‐zone nonlinearity, unknown actuator failures, and nonlinear dynamics. A distributed adaptive neural consensus tracking controller is presented for stochastic multiagent systems directions under directed graphs, which can achieve predefined synchronization error bounds. By mainly activating an auxiliary robust control component for pulling back the transient escaped from the neural active region, a multiswitching robust neuroadaptive controller in the neural approximation domain can achieve globally uniformly ultimately bounded tracking stability of multiagent systems recently. By constructing a smooth dead‐zone inverse and applying the dynamic surface control technique, distributed consensus controllers are developed to guarantee that the trajectories of synchronization error converge to a small neighborhood of the origin. Two simulation examples are provided to illustrate the effectiveness and advantage of the proposed control scheme.

Adaptive finite‐time tracking control for output‐constrained nonlinear systems with non‐strict‐feedback structure

“…Therefore, the system structure is more general than the previous results. In addition, different from these works [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][35][36][37][38][39][40][41][42][43][44][45][46][47][48] this article presents another challenge: how to handle the phenomenon of output constraints.…”

“…Therefore, the system structure is more general than the previous results. In addition, different from these works , this article presents another challenge: how to handle the phenomenon of output constraints.…”

“…Over the past few decades, the design of backstepping control has become the basic method of nonlinear cascade system control, and remarkable achievements have been made . In addition, neural networks and fuzzy logic systems, as two universal approximators, have been widely used for the modeling of unknown nonlinear functions, and adaptive controllers were designed in References by combining adaptive technique with backstepping. Although some great developments have been made in References , the problem of output constraints is not considered.…”

“…The existing results in References cannot be directly applied to our article, since these works do not consider the output constraint effects. In addition, in comparison with the current literatures on constrained systems, a series of finite‐time control schemes were constructed in References .…”

Distributed event‐triggered tracking consensus control for privacy preservation in multi‐agent systems with denial‐of‐service attacks

“…One of the best‐known cooperation control issues in MASs is the distributed consensus control problem, its control objective is to achieve a global cooperation task by designing a control protocol for sharing local information. Therefore, an increasing number of researches on distributed consensus control issue has been extensively established for many years 8‐11 …”