Sufficient conditions on general fuzzy systems as function approximators
Automatica (Journal of IFAC)
A course in fuzzy systems and control
A course in fuzzy systems and control
Fuzzy systems with defuzzification are universal approximators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stable and optimal fuzzy control of linear systems
IEEE Transactions on Fuzzy Systems
Optimal fuzzy controller design: local concept approach
IEEE Transactions on Fuzzy Systems
Optimal fuzzy controller design in continuous fuzzy system: global concept approach
IEEE Transactions on Fuzzy Systems
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In this paper, a new scheme of fuzzy optimal control for control the liquid level and temperature in a pilot plant continuous stirred tank reactor (CSTR) is presented. The proposed control method, based on the Pontryagin's Minimum Principle, back propagation from the final costate error and gradient descent, allows training an adaptive fuzzy inference system to estimate values for the optimal co-state variables. This approach allows finding a solution to the optimal control problem on-line by training the system, which can be used on a close-loop control strategy. The design of control system is developed by minimizing a quadratic performance index selected for the desired operating conditions. Successful simulations results of controlling the system are presented.