Recursive filtering adaptive neural fault-tolerant control for uncertain multivariable nonlinear systems

DOI10.1016/j.ejcon.2020.10.003zbMath1466.93169OpenAlexW3095109391MaRDI QIDQ2034214

Tong Ma

Publication date: 21 June 2021

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2020.10.003

zbMATH Keywords

neural networkactuator faultsrecursive least squares (RLS)nonlinear uncertaintiesfiltering adaptive control

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Multivariable systems, multidimensional control systems (93C35) Least squares and related methods for stochastic control systems (93E24) Stochastic learning and adaptive control (93E35)

Related Items (3)

Adaptive fixed-time consensus control for a class of non-strict feedback multi-agent systems subject to input nonlinearities, state constraints, unknown control directions, and actuator faults ⋮ A new event-triggered adaptive tracking controller for nonlinear systems with unknown virtual control coefficients ⋮ Adaptive finite-time fault-tolerant control for switched nonlinear systems with actuator fault and dead-zone via prescribed performance

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