頁籤選單縮合
題 名 | A Novel Stability Condition and Its Application to GA-Based Fuzzy Control for Nonlinear Systems with Uncertainty |
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作 者 | Chen, Po-chen; Chen, Cheng-wu; Chiang, Wei-ling; Yeh, Ken; | 書刊名 | Journal of Marine Science and Technology |
卷 期 | 17:4 2009.12[民98.12] |
頁 次 | 頁293-299 |
分類號 | 448.942 |
關鍵詞 | Modified adaptive fuzzy sliding mode control; Lyapunov direct method; Genetic algorithm; |
語 文 | 英文(English) |
英文摘要 | ABSTRACT In this study, we strive to combine the advantages of fuzzy logic control (FLC), genetic algorithms (GA), H∞ tracking control schemes, smooth control and adaptive laws to design an adaptive fuzzy sliding model controller for the rapid and efficient stabilization of complex and nonlinear systems. First, we utilize a reference model and a fuzzy model (both involving FLC rules) to describe and well-approximate an uncertain, nonlinear plant. The FLC rules and the consequent parameter are decided on via GA. A boundary-layer function is introduced into these updated laws to cover modeling errors and to guarantee that the state errors converge into a specified error bound. After this, a H∞ tracking problem is characterized. We solve an eigenvalue problem (EVP), and derive a modified adaptive neural network controller (MANNC) to simultaneously stabilize and control the system and achieve H∞ control performance. Furthermore, a stability criterion is derived utilizing Lyapunov’s direct method to ensure the stability of the nonlinear system. Finally, the control methodology is demonstrated via a numerical simulation. |
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