Fuzzy Observer Design for a Class of Uncertain Nonlinear System

Xian Jia Feng; Shu Li Guo; Li Na Han

doi:10.4028/www.scientific.net/AMM.740.257

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Synchronization of Memristor-Based Competitive Neural Networks with Different Time Scales
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A Novel Electromagnetic Navigation Control Approach of Intelligent Car
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An Improved Multi-Level Adaptive Control Algorithm Based on Parameters Self-Tuning for a Class of SISO Nonlinear Systems
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Design of Extended-Range Electric Vehicle Integrated Control System Based on Rapid Prototype Technology
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Fuzzy Observer Design for a Class of Uncertain Nonlinear System
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Improvement Strategy of Load Regulation of Boosting Power Supply Based on PID Algorithm
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Research on Automatic Control Technology of Tobacco Manufacturing Process Based on IDEF Method
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Research on High Precision Temperature Control System of Strap-Down North-Seeking
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Sliding Mode Control for Discrete Uncertain System with Time Delay
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740Fuzzy Observer Design for a Class of Uncertain...

Fuzzy Observer Design for a Class of Uncertain Nonlinear System

Abstract:

In this paper, a fuzzy state observer with an appropriate adaptive law is developed for a class of uncertain nonlinear system. The uncertain nonlinear system is represented by Takagi-Sugeno (T-S) fuzzy model, and the adaptive law is derived based on Lyapunov synthesis approach. It is shown that under appropriate assumptions, the state error between plant system state and desired linear model state converges to zero as time increases. The results of numerical simulation and the experiment on the magnetic levitation system show the effectiveness of this approach.