Non-Fragile Control for Fuzzy Stochastic Systems
Author:
Affiliation:
1. Department of Electrical Engineering and Electronics, Aoyama Gakuin University
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2016/0/2016_20/_pdf
Reference24 articles.
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3. [3] K. Tanaka and H.O. Wang, Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, Wiley Inter-Science, 2000.
4. [4] D.H. Lee, Y.H. Joo, M.H. Tak, Local stability analysis of continuous-time Takagi-Sugeno fuzzy systems: A fuzzy Lyapunov function approach, Information Sciences, Vol.257, pp.163-175, 2014.
5. [5] H.K. Lam, F.H.F. Leung, and P.K.S. Tam, Stable and robust fuzzy control for uncertain nonlinear systems, IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, Vol.30, No.6, pp.825-840, 2000.
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1. Non-Fragile Dynamic Output Feedback Control Design for Fuzzy Stochastic Systems;Transactions of the Institute of Systems, Control and Information Engineers;2016
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