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  • Oscar Castillo; Patricia Ochoa; Jose Soria
    978-3-030-62133-9
    2021
    Edition 1
    • Focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area
    • Demonstrates that using fuzzy systems combined with the differential evolution algorithm produces better results in each of the controllers and with increasing uncertainty, the results are even better
    • Proposes methods using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems
    • Explains the proposed method which is tested using five benchmark control problems: the water tank, temperature, mobile robot, inverted pendulum controllers, and the D.C. motor

    €100

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