2006 9th International Conference on Control, Automation, Robotics and Vision 2006
DOI: 10.1109/icarcv.2006.345093
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Design of Stable and Quadratic Optimal Linear State Feedback Controllers for TS-Fuzzy-Model-Based Control Systems

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Cited by 11 publications
(10 citation statements)
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“…After having successfully removed this important limitation, further research effort should be addressed to explore the potential of the proposed design methodology in more complex control problems, such as networked control [27,28], switching systems [29,30], robust control [31][32][33], fuzzy systems [34], or simultaneous stabilization [35].…”
Section: Discussionmentioning
confidence: 99%
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“…After having successfully removed this important limitation, further research effort should be addressed to explore the potential of the proposed design methodology in more complex control problems, such as networked control [27,28], switching systems [29,30], robust control [31][32][33], fuzzy systems [34], or simultaneous stabilization [35].…”
Section: Discussionmentioning
confidence: 99%
“…(28), (29), and the matrices C z , D z defined in Eqs. (33), (34), with α = 10 −7.3 , we obtain the following control gain matrix: with an associated γ-value…”
Section: State-feedback H ∞ Controllermentioning
confidence: 99%
“…Stability of system has always been focus of study. Some new methods have been proposed to solve stable analysis problem [13][14][15][16][17][18][19][20][21], including input-output method, slack matrix, input-to-state method and so on. Inspired by these researches, especially the input-to-state method, we try to analyze the stability of the cooperative attitude control problem in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Since the Takagi-Sugeno (T-S) [1] fuzzy systems were firstly proposed in 1985, their stability analysis has received considerable research attention [2,3]. However, most of the existing results are only for the T-S fuzzy systems free of time delay.…”
Section: Introductionmentioning
confidence: 99%