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Robust adaptive decentralized control for a class of noaffine stochastic nonlinear interconnected systems

机译:一类Noaffine随机非线性互联系统的鲁棒自适应分散控制。

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In this paper, the problem of approximation-based adaptive decentralized control is considered for a class of noaffine stochastic nonlinear interconnected large-scale systems. Based on backstepping design, an adaptive state-feedback controller is proposed, which can guarantees that all the signals in the closed-loop systems remain fourth-moment bounded. During the controller design, fuzzy logic systems are utilized to model unknown nonlinear functions. The main contributions of the developed control scheme lie in that the proposed control scheme is independent of the information of basis functions of fuzzy systems and only one adaptive parameter needs to be estimated online for each subsystem. Simulation results are provided to illustrate the effectiveness of the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文针对一类Noaffine随机非线性互联大系统考虑了基于近似的自适应分散控制问题。基于反推设计,提出了一种自适应状态反馈控制器,该控制器可以保证闭环系统中的所有信号保持第四矩的有界。在控制器设计期间,模糊逻辑系统用于建模未知的非线性函数。所开发的控制方案的主要贡献在于,所提出的控制方案独立于模糊系统的基函数信息,并且每个子系统仅需要在线估计一个自适应参数。仿真结果表明了该方法的有效性。 (C)2015 Elsevier B.V.保留所有权利。

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