A study on the robustness and adaptation of unknown nonlinear control system

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Title:	A study on the robustness and adaptation of unknown nonlinear control system
Authors:	蔡志仁;Tsai,Zhi-Ren
Contributors:	資訊工程學系
Date:	2017-07
Issue Date:	2017-12-08 06:46:56 (UTC+0)
Abstract:	. A robust adaptive design motivated from two stages, Random-Local-Search (RLS) off-line stage and Fuzzy Wave-like Controller (FWC) on-line stage, is proposed to solve the unknown system parameters problem of the nonlinear control system by using an artificial intelligence modeling based method. First, an unknown nonlinear Continuous-Time (CT) system with delay, uncertainty and disturbance is identified by two-stage procedure which guarantees the Discrete-Time (DT) adaptive parameters to be converged globally in this paper. Next, the neural-plant-based, adaptive, DT, recursive and feedforward FWC is proposed to improve transient control performance of this CT system. Then, it provides the new DT-CT theories to guarantee the uniformly ultimately bounded (UUB) stability and stabilization of this kind of unknown DT-CT system with delay, uncertainty and disturbance. Finally, the work of comparing the proposed method and its results with others reported in literature is done.
Relation:	JOURNAL OF ENGINEERING TECHNOLOGY
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Artical

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