- 期刊
Robust Fuzzy Filter Design for a Class of Nonlinear Discrete-Time Uncertain Systems
並列摘要
This paper studies fuzzy filtering design for a class of nonlinear discrete-time uncertain stochastic systems. First, the Takagi and Sugeno fuzzy model is proposed to approximate a nonlinear discrete-time uncertain stochastic system. Next, based on the fuzzy model, the fuzzy estimation for nonlinear discrete-time uncertain stochastic systems is studied. Using a suboptimal approach, the fuzzy estimation problem for nonlinear discrete-time uncertain stochastic systems is characterized in terms of an eigenvalue problem (EVP) by minimizing the upper bound on the variance of the estimation error. The EVP can be efficiently solved using convex optimization techniques.
被引用紀錄
陳立新（2011）。離散切換式T-S模糊大型系統控制器設計〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2011.00021
Ren, H. L. (2016). 應用於快速擬真事後重新對焦之一維視點合成演算法之分析與硬體架構設計 [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-0901201710391843
延伸閱讀
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- Yu, G. R., & You, C. S. (2009). Nonlinear Robust Control of Fuzzy Time-Delay Systems. International Journal of Fuzzy Systems, 11(1), 29-35. https://doi.org/10.30000/IJFS.200903.0004
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