In this study, an adaptive fuzzy decentralized dynamic surface control (DSC) problem is investigated for switched large-scale nonlinear systems with deferred asymmetric and time-varying full-state constraints. Due to the existence of additional general nonlinearities, complicated output interconnections, and full-state constraints, it is difficult to address the above control problem using existing methods. Fuzzy-logic systems are, therefore, utilized to approximate the unknown nonlinear functions, and the DSC technique is adopted to overcome the “curse of dimensionality” problem. A novel fuzzy adaptive decentralized controller design is presented using the proposed convex combination technique. Furthermore, it is proven that under the proposed controller and state-dependent switching law, all states of the closed-loop system are bounded and deferred asymmetric, and the time-varying full-state constraints are strictly obeyed. The simulation results are presented to demonstrate the effectiveness of the proposed method.

中文翻译：

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具有全状态约束的切换大规模非线性系统的自适应模糊分散动态表面控制

在这项研究中，研究了具有延迟不对称和时变全状态约束的切换大规模非线性系统的自适应模糊分散动态表面控制 (DSC) 问题。由于存在额外的一般非线性、复杂的输出互连和全状态约束，使用现有方法难以解决上述控制问题。因此，利用模糊逻辑系统来逼近未知的非线性函数，并采用 DSC 技术来克服“维度灾难”问题。使用所提出的凸组合技术提出了一种新颖的模糊自适应分散控制器设计。此外，证明了在所提出的控制器和状态相关切换定律下，闭环系统的所有状态都是有界和延迟不对称的，并且严格遵守时变全状态约束。仿真结果展示了该方法的有效性。