Adaptive neural tracking control for nonstrict-feedback stochastic nonlinear time-delay systems with full-state constraints

DOI10.1080/00207721.2017.1367049zbMath1386.93167OpenAlexW2747305111MaRDI QIDQ4600043

Publication date: 5 January 2018

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2017.1367049

zbMATH Keywords

time delays stochastic nonlinear systems adaptive neural control saturation nonlinearity full-state constraints nonstrict-feedback structure

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03)

Related Items (7)

Neural networks‐based adaptive practical preassigned finite‐time fault tolerant control for nonlinear time‐varying delay systems with full state constraints ⋮ Barrier Lyapunov functions-based adaptive neural tracking control for non-strict feedback stochastic nonlinear systems with full-state constraints: a command filter approach ⋮ Adaptive control-based barrier Lyapunov functions for strict-feedback stochastic nonlinear systems with input saturation and dead zone ⋮ Barrier Lyapunov function-based tracking control for stochastic nonlinear systems with full-state constraints and input saturation ⋮ Observer-based adaptive neural tracking control for a class of stochastic nonlinear systems ⋮ Adaptive fuzzy control for pure-feedback systems with full state constraints and unknown nonlinear dead zone ⋮ Neural network-based asymptotic tracking control design for stochastic nonlinear systems

This page was built for publication: Adaptive neural tracking control for nonstrict-feedback stochastic nonlinear time-delay systems with full-state constraints