NEW TIME-EFFICIENT STRUCTURE FOR OBSERVER-BASED ADAPTIVE FUZZY-NEURAL CONTROLLERS FOR NONAFFINE NONLINEAR SYSTEMS

作者：Wang Wei Yen^*; Li I Hsum; Chen Ming Chang; Su Shun Feng; Leu Yih Guang

来源：International Journal of Innovative Computing Information and Control, 2010, 6(3A): 963-978.

• Direct adaptive control
• Fuzzy-neural control
• Output feedback control
• Nonaffine nonlinear systems
• Merged-FNN

This paper proposes an observer-based adaptive controller with a merged fuzzy-neural network for nonaffine nonlinear systems under the constraint that only the system output is available for measurement Using a conventional fuzzy-neural network leads to rule explosion, which leads to huge computation time Our proposed merged-FNN does not have Has problem. and can take the place of the conventional fuzzy-neural networks under some assumptions while maintaining the property of stability Moreover, the adaptive scheme using the merged-FNN guarantees that all signals involved are bounded and the output of the closed-loop system asymptotically tracks the desired output trajectory Finally. this paper gives examples of the proposed controller for nonaffine nonlinear and is shown. to provide good effectiveness.

• 出版日期2010-3