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Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems.

, , , , , and . Knowl. Based Syst., (2013)

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Model-free sliding mode control of nonlinear systems: Algorithms and experiments., , , and . Inf. Sci., (2017)Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems., , , , , and . Knowl. Based Syst., (2013)Fuzzy Control Systems With Reduced Parametric Sensitivity Based on Simulated Annealing., , , , and . IEEE Trans. Ind. Electron., 59 (8): 3049-3061 (2012)Charged System Search Algorithms for Optimal Tuning of PI Controllers., , , , and . CESCIT, page 115-120. International Federation of Automatic Control, (2012)Mixed MFC-VRFT Approach for a multivariable aerodynamic system position control., , and . SMC, page 2615-2620. IEEE, (2016)Data-driven virtual reference feedback tuning and reinforcement Q-learning for model-free position control of an aerodynamic system., , and . MED, page 1126-1132. IEEE, (2016)Model-free fuzzy control of twin rotor aerodynamic systems., , and . MED, page 559-564. IEEE, (2017)Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems., , , , and . Expert Syst. Appl., 40 (1): 188-199 (2013)Optimal motion prediction using a primitive-based model-free iterative control approach for crane systems., , and . ICIT, page 366-372. IEEE, (2015)Novel Tensor Product Models for Automatic Transmission System Control., , , , and . IEEE Syst. J., 6 (3): 488-498 (2012)