Posts Tagged ‘Fuzzy Lyapunov function’:

Study on Analysis and Control for Nonlinear Systems Based on T-S Fuzzy Model

Fuzzy control is a control strategy which is different from other traditional control methods. It can be easy to realize effectively human control strategies and experience in many applications. Furthermore, it can achieve better control performance in the absence of the accurate mathematic model for the controlled system. In some corresponding control area, fuzzy control

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Study on Analysis and Control for Nonlinear Systems Based on T-S Fuzzy Model

Fuzzy control is a control strategy which is different from other traditional control methods. It can be easy to realize effectively human control strategies and experience in many applications. Furthermore, it can achieve better control performance in the absence of the accurate mathematic model for the controlled system. In some corresponding control area, fuzzy control

(Read More…)

Study on Analysis and Control for Nonlinear Systems Based on T-S Fuzzy Model

Fuzzy control is a control strategy which is different from other traditional control methods. It can be easy to realize effectively human control strategies and experience in many applications. Furthermore, it can achieve better control performance in the absence of the accurate mathematic model for the controlled system. In some corresponding control area, fuzzy control

(Read More…)

Study on Analysis and Control for Nonlinear Systems Based on T-S Fuzzy Model

Fuzzy control is a control strategy which is different from other traditional control methods. It can be easy to realize effectively human control strategies and experience in many applications. Furthermore, it can achieve better control performance in the absence of the accurate mathematic model for the controlled system. In some corresponding control area, fuzzy control

(Read More…)

Study on Analysis and Control for Nonlinear Systems Based on T-S Fuzzy Model

Fuzzy control is a control strategy which is different from other traditional control methods. It can be easy to realize effectively human control strategies and experience in many applications. Furthermore, it can achieve better control performance in the absence of the accurate mathematic model for the controlled system. In some corresponding control area, fuzzy control

(Read More…)

Study on Analysis and Control for Nonlinear Systems Based on T-S Fuzzy Model

Fuzzy control is a control strategy which is different from other traditional control methods. It can be easy to realize effectively human control strategies and experience in many applications. Furthermore, it can achieve better control performance in the absence of the accurate mathematic model for the controlled system. In some corresponding control area, fuzzy control

(Read More…)

Stability Analysis and Controller Design of Some T-S Fuzzy Systems

Compared with classical control systems, fuzzy control systems have the following two unmatched advantages. First, it can be easy to realize effectively human control strategies and experience in many applications. Second, it can achieve better control performance in the absence of the mathematic model for the controlled system. In the control area, fuzzy systems are

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Analysis and Synthesis for a Kind of T-S Fuzzy Descriptor Systems

Currently, although much effort has been made in the exploration of analysis and synthesis for the T-S fuzzy descriptor system, the results on this topic are far fewer than those on T-S fuzzy normal systems. The research on T-S fuzzy descriptor system is still in preliminary stage. Many unsolved problems need to do. In this

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Fuzzy Control of Nonlinear Systems Based on T-S Model

Compared with classical control systems, fuzzy control systems have the following two unmatched advantages. First, it can be easy to realize effectively human control strategies and experience in many applications. Second, it can achieve better control performance in the absence of the accurate mathematic model for the controlled system. In 1985, Takagi T and Sugeno

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Design and Stability Analysis of Fuzzy Control System Based on Analytical Structure

Since American professor Zadeh firstly proposed the concept of fuzzy set in 1965 and English engineer Mamdani applied fuzzy theory in steamer control successfully in 1975, fuzzy control has been widely used in many fields such as chemical engineering, metallurgy, aerospace engineering, communication and transportation etc. Compared with the traditional control, it is proved that

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