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Original Articles

Stability Analysis of a Type of Takagi-Sugeno PI Fuzzy Control Systems Using Circle Criterion

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Pages 196-207 | Received 11 Mar 2010, Accepted 21 Oct 2010, Published online: 12 Mar 2012

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Choon Ki Ahn. (2011) H ∞ State Estimation for Takagi-Sugeno Fuzzy Delayed Hopfield Neural Networks. International Journal of Computational Intelligence Systems 4:5, pages 855-862.
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Hoang Viet Long. (2011) A note on the rates of uniform approximation of fuzzy systems. International Journal of Computational Intelligence Systems 4:4, pages 712-727.
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Articles from other publishers (6)

Ritu Raj & B. M. Mohan. (2017) Modeling and analysis of the simplest fuzzy PID controller of Takagi–Sugeno type with modified rule base. Soft Computing 22:15, pages 5147-5161.
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Kairui Cao, Xiaozhi Gao, Hak‐Keung Lam & Athanasios Vasilakos. (2016) fuzzy PID control synthesis for Takagi–Sugeno fuzzy systems. IET Control Theory & Applications 10:6, pages 607-616.
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Jongkyoo Kim, Ok-Kyu Choi, Hyosin Kim & Jin S. Lee. (2015) Asymptotic stability analysis of TSK fuzzy PI control system using circle criterion. Asymptotic stability analysis of TSK fuzzy PI control system using circle criterion.
Kairui Cao, X. Z. Gao, Xing Wang, H. K. Lam & Jing Ma. (2015) Stability analysis of T-S fuzzy PD, PI, and PID control systems. Stability analysis of T-S fuzzy PD, PI, and PID control systems.
Kairui Cao, X. Z. Gao, T. Vasilakos & W. Pedrycz. (2013) Analysis of stability and robust stability of polynomial fuzzy model-based control systems using a sum-of-squares approach. Soft Computing 18:3, pages 433-442.
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Nazmul SiddiqueNazmul Siddique. 2014. Intelligent Control. Intelligent Control 243 267 .

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