Hybrid threshold strategy‐based adaptive tracking control for nonlinear stochastic systems with full‐state constraints

DOI10.1002/rnc.5060zbMath1525.93486OpenAlexW3047092969MaRDI QIDQ6078911

Rui Meng, Chang-Chun Hua, Kuo Li

Publication date: 25 October 2023

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.5060

zbMATH Keywords

adaptive controlnonlinear stochastic systemstracking controlfull-state constraintshybrid threshold strategy

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Stochastic learning and adaptive control (93E35) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Related Items (6)

Prescribed-time adaptive output feedback tracking control for nonlinear systems with quantized input ⋮ Adaptive output feedback fault‐tolerant control for nonlinear stochastic systems with output constraint ⋮ Event‐triggered control for stochastic interconnected nonlinear systems with unknown control directions ⋮ Adaptive constrained tracking control for dynamical actuator driven linear \(2 \times 2\) hyperbolic PDE systems with nonlinear uncertainties ⋮ Global adaptive prescribed‐time stabilization for high‐order nonlinear systems ⋮ <scp>Event‐triggered</scp> adaptive stabilization control of stochastic nonlinear systems with unmodeled dynamics

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