Fuzzy fractional-order adaptive robust feedback linearization control optimized by the multi-objective artificial hummingbird algorithm for a nonlinear ball–wheel system

For stabilizing a nonlinear ball–wheel system, this research suggests a fuzzy fractional-order adaptive robust feedback linearization control approach. The feedback linearization-based controller uses the decoupled sliding mode to locate the sliding surfaces and determine the adaptive coefficients....

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Veröffentlicht in:	Journal of the Brazilian Society of Mechanical Sciences and Engineering Jg. 45; H. 11; S. 575
Hauptverfasser:	Arbatsofla, S. Moghtader, Mazinan, A. H., Mahmoodabadi, M. J., Nekoui, M. A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023 Springer Nature B.V
Schlagworte:	Algorithms Archives & records Calculus Control systems Control theory Controllers Design engineering Dynamical systems Engineering Feedback linearization Fuzzy logic Genetic algorithms Kinematics Mechanical Engineering Optimization Parameter estimation Pareto optimum Performance evaluation Robust control Sliding mode control Systems stability Technical Paper Robust control Fuzzy system Multi-objective artificial hummingbird algorithm Optimal control Feedback linearization Adaptive control Fractional calculus
ISSN:	1678-5878, 1806-3691
Online-Zugang:	Volltext
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