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Covariance control with observed-state feedback gains for continuous nonlinear systems using T-S fuzzy models
Wen-Jer Chang1, Yi-Lin Yeh, Kuo-Hui Tsai
1Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan, ROC. wjchang@mail.ntou.edu.tw
ISA Transactions
|July 27, 2004
Summary
This study introduces a new method for state variance constrained control in stochastic systems using covariance control theory. The approach enhances control for continuous Takagi-Sugeno fuzzy models with state estimation.
Area of Science:
- Control Theory
- Fuzzy Systems
- Stochastic Systems
Background:
- State variance constrained control is a significant challenge in stochastic systems.
- Continuous Takagi-Sugeno (TS) fuzzy models are widely used for system modeling.
Purpose of the Study:
- To design a state variance constrained controller for continuous TS fuzzy models.
- To integrate state estimation with covariance control theory for improved performance.
Main Methods:
- Utilized covariance control theory for controller design.
- Incorporated state estimation techniques.
- Applied observed-state feedback gains for continuous TS fuzzy models.
Main Results:
- Developed a novel variance constrained control methodology for continuous TS fuzzy models.
- Demonstrated the efficiency and applicability of the proposed approach through a numerical example.
Conclusions:
- The proposed method effectively addresses state variance constraints in stochastic systems.
- The integration of state estimation enhances the covariance control approach for TS fuzzy models.