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|Title: ||Lyapunov function based design of robust fuzzy controllers for uncertain nonlinear systems : distinct Lyapunov functions|
|Authors: ||Leung, Frank H. F.|
Lam, H. K.
Tam, Peter K. S.
|Subjects: ||Closed loop control systems|
Nonlinear control systems
Robustness (control systems)
|Issue Date: ||1998 |
|Citation: ||The 1998 IEEE International Conference on Fuzzy Systems proceedings : IEEE World Congress on Computational Intelligence : May 4-May 9, 1998, Anchorage, Alaska, USA, p. 577-582.|
|Abstract: ||This paper presents the stability and robustness analyses of an uncertain fuzzy control system which is formed by an uncertain fuzzy plant model and a fuzzy controller. The fuzzy plant model with parameter uncertainties describes exactly the behavior of an uncertain nonlinear plant. Three design approaches are introduced to close the feedback loop. Based on the Lyapunov's stability theory, new stability criteria and robust areas are to be derived without resorting to a common Lyapunov function. An application example on stabilizing an uncertain nonlinear mass-spring-damper system will be given to illustrate the merit.|
|Rights: ||© 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Type: ||Conference Paper|
|Appears in Collections:||EE Conference Papers & Presentations|
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