Indirect neuroadaptive control of unknown MIMO systems tracking uncertain target under sensor failures

DOI10.1016/J.AUTOMATICA.2016.11.034zbMath1355.93096OpenAlexW2577296634MaRDI QIDQ510095

Beibei Zhang, Kai Zhao, Yong-Duan Song

Publication date: 16 February 2017

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2016.11.034

zbMATH Keywords

uncertain targetsensor failuresbarrier Lyapunov function (BLF)indirect neuroadaptive tracking controluniformly ultimately bounded (UUB) stable tracking

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Adaptive control/observation systems (93C40) Stability of control systems (93D99)

Related Items (8)

Constrained neural adaptive PID control for robot manipulators ⋮ Output-feedback adaptive control for a class of MIMO nonlinear systems with actuator and sensor faults ⋮ Adaptive neural network asymptotic control design for MIMO nonlinear systems based on event-triggered mechanism ⋮ Accelerated neuroadaptive tracking control of strict‐feedback nonlinear systems without precise knowledge of target trajectory ⋮ Tracking control of MIMO nonlinear systems under full state constraints: a single-parameter adaptation approach free from feasibility conditions ⋮ Robust adaptive fault-tolerant control of nonlinear uncertain systems tracking uncertain target trajectory ⋮ Adaptive neural control for uncertain constrained pure feedback systems with severe sensor faults: a complexity reduced approach ⋮ Decentralised fault-tolerant tracking control for interconnected nonlinear time delay systems using dynamic event triggering mechanism

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