\(H_{\infty}\) tracking-based adaptive fuzzy-neural control for MIMO uncertain robotic systems with time delays

DOI10.1016/J.FSS.2003.07.001zbMath1053.93028OpenAlexW2042596955MaRDI QIDQ1885711

Wen-Shyong Yu

Publication date: 12 November 2004

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2003.07.001

zbMATH Keywords

robotic systemsAdaptive controlStabilityRobustnessDelays\(H_{\infty}\) tracking performanceFuzzy-neural systemMIMO uncertain dynamical systemsModel reference

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) (H^infty)-control (93B36) Automated systems (robots, etc.) in control theory (93C85)

Related Items (6)

\(H_\infty\) fuzzy adaptive tracking control design for nonlinear systems with output delays ⋮ Anti-sway tracking control of tower cranes with delayed uncertainty using a robust adaptive fuzzy control ⋮ An intelligent self-repairing control for nonlinear MIMO systems via adaptive sliding mode control technology ⋮ Output feedback controller for hysteretic time-delayed MIMO nonlinear systems. An \(H _{\infty }\)-based indirect adaptive interval type-2 fuzzy approach ⋮ Robust tracking observer-based adaptive fuzzy control design for uncertain nonlinear MIMO systems with time delayed states ⋮ Observer-based fuzzy control design with adaptation to delay parameter for time-delay systems

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