Adaptive Decentralized Control for Interconnected Time-Delay Uncertain Nonlinear Systems With Different Unknown Control Directions and Deferred Full-State Constraints

  • Zhang, Liuliu
  • Zhu, Lingchen
  • Hua, Changchun
  • Qian, Cheng
Citations

WEB OF SCIENCE

34
Citations

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37

초록

In this article, the problem of adaptive decentralized control is investigated for a class of interconnected time-delay uncertain nonlinear systems with different unknown control directions and deferred asymmetric time-varying (DTV) full-state constraints. By constructing the novel time-varying asymmetric integral barrier Lyapunov function (TVAIBLF), the conservative limitation of constant integral barrier Lyapunov function (IBLF) or symmetric IBLF is reduced and the need on the prior knowledge of control gains is also avoided, while the deferred constraints directly imposed on the states of system are achieved by introducing the shifting function into the controller design. Furthermore, based on the Nussbaum-type functions, a new adaptive decentralized control strategy for interconnected time-delay nonlinear systems with subsystems having different control directions is proposed via backstepping method. And it is proven that the proposed control method can guarantee that all signals in closed-loop system are bounded and the transform errors asymptotically converge to zero. Finally, the effectiveness of the proposed control strategy is illustrated through the simulation results.

키워드

Nonlinear systemsTime-varying systemsLyapunov methodsInterconnected systemsDigital TVDecentralized controlBacksteppingDeferred full-state constraintsinterconnected time-delay systemstime-varying asymmetric integral barrier Lyapunov function (TVAIBLF)unknown control directionsOUTPUT-FEEDBACK CONTROLBARRIER LYAPUNOV FUNCTIONSFAULT-TOLERANT CONTROLNEURAL-NETWORK CONTROLTRACKING CONTROLPERFORMANCEDESIGN
제목
Adaptive Decentralized Control for Interconnected Time-Delay Uncertain Nonlinear Systems With Different Unknown Control Directions and Deferred Full-State Constraints
저자
Zhang, LiuliuZhu, LingchenHua, ChangchunQian, Cheng
DOI
10.1109/TNNLS.2022.3171518
발행일
2023-12
유형
Article
저널명
IEEE Transactions on Neural Networks and Learning Systems
34
12
페이지
10789 ~ 10801