Adaptive fuzzy control for non-strict feedback nonlinear systems with input delay and full state constraints
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Publication:2200172
DOI10.1016/j.jfranklin.2020.05.008zbMath1447.93184OpenAlexW3029206971MaRDI QIDQ2200172
Xuejun Zong, Xinyu Zhang, Zhongjun Yang, Guo-gang Wang
Publication date: 15 September 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.05.008
Feedback control (93B52) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Delay control/observation systems (93C43)
Related Items (9)
Improved adaptive fuzzy control for non-strict feedback nonlinear systems: a dynamic compensation system approach ⋮ Composite fuzzy voltage-based command-filtered learning control of electrically-driven robots with input delay using disturbance observer ⋮ Command filtered adaptive tracking control of nonlinear systems with prescribed performance under time‐variant parameters and input delay ⋮ Stabilization for a class of strict-feedback nonlinear systems via the PWM control law ⋮ Command filter based adaptive finite‐time dynamic surface control for nonlinear systems with unknown input delay under discontinuous input ⋮ Adaptive neural network control for nonstrict-feedback uncertain nonlinear systems with input delay and asymmetric time-varying state constraints ⋮ Neural-based adaptive control for nonlinear systems with quantized input and the output constraint ⋮ Command filter based adaptive DSC of uncertain stochastic nonlinear systems with input delay and state constraints ⋮ Funnel-based adaptive fuzzy finite-time control for non-affine nonlinear systems preceded by unknown actuators
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