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Optimal Fuzzy Controller Mapped from LQR under Power and Torque Constraints

Abstract : Dealing with a LQR controller surface subject to power and torque constraints, is an issue of nonlinear problem that is difficult to implement. This paper employs a fuzzy controller surface to replace the LQR surface subject to power and torque constraints by using class stacking, least square and Sugeno-type fuzzy inference mode. Through this type of transformation, called “Optimal fuzzy controller mapped from LQR”, control of the system remains optimal.
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Ping-Ho Chen, Kuang-Yow Lian. Optimal Fuzzy Controller Mapped from LQR under Power and Torque Constraints. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. pp.104-109, ⟨10.1007/978-3-642-23960-1_13⟩. ⟨hal-01571465⟩

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