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. © 2011 IFIP International Federation for Information Processing.
CITATION STYLE
Chen, P. H., & Lian, K. Y. (2011). Optimal fuzzy controller mapped from LQR under power and torque constraints. In IFIP Advances in Information and Communication Technology (Vol. 364 AICT, pp. 104–109). https://doi.org/10.1007/978-3-642-23960-1_13
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