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Adaptive Fuzzy Semi-Decentralized Control for a Class of Large-Scale Nonlinear Systems Based on Input-Output Linearization Concept

机译:基于输入输出线性化概念的自适应模糊半分流控制一类大型非线性系统

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摘要

Stable direct and indirect adaptive fuzzy controllers are presented for a class of interconnected nonlinear systems with unknown nonlinear subsystems and unknown nonlinear interconnections, which are represented not only in the canonical forms [1] but also in the general forms. Hybrid adaptive robust tracking control schemes which are based upon a combination of the H{sub}∞ tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and an H{sub}∞ tracking control performance is guaranteed without imposing any constraints or assumptions about the interconnections. Extensive simulation example of two-link rigid robotics manipulator is provided to verify the effectiveness of the proposed algorithm.
机译:稳定的直接和间接自适应模糊控制器用于一类具有未知非线性子系统和未知非线性互连的一类互连的非线性系统,其不仅表示在规范形式[1]中,还表示,但也以一般形式表示。基于H {Sub}∞跟踪理论的组合和模糊控制设计的混合自适应稳健跟踪控制方案,使得所有状态和信号都是有界的,并且保证了H {sub}∞跟踪控制性能对互连施加任何限制或假设。提供了双连杆刚性机器人机械手的广泛仿真示例,以验证所提出的算法的有效性。

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