A neural composite dynamic surface control for pure‐feedback systems with unknown control gain signs and full state constraints

DOI10.1002/rnc.4714zbMath1430.93075OpenAlexW2970085712WikidataQ127315549 ScholiaQ127315549MaRDI QIDQ5208274

Qian Ma, Wei Liu, Shengyuan Xu, Junwei Lu, Zheng Qiang Zhang

Publication date: 15 January 2020

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.4714

zbMATH Keywords

dynamic surface controlpure-feedback systemsfull-state constraintscomposite neural networks approximationunknown control gain signs

Mathematics Subject Classification ID

Feedback control (93B52) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Computational methods for problems pertaining to systems and control theory (93-08)

Related Items (4)

Prescribed performance dynamic surface control for nonlinear systems subject to partial and full state constraints ⋮ Adaptive neural control for nonlinear systems with actuator faults and unknown control directions via command filter ⋮ Adaptive fuzzy control for nonlinear uncertain pure‐feedback systems with full‐state and input constraints ⋮ Learning‐based robust neuro‐control: A method to compute control Lyapunov functions

Cites Work

• Unnamed Item
• Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems
• Strong stability of a class of difference equations of continuous time and structured singular value problem
• Observer-based adaptive fuzzy tracking control of nonlinear systems with time delay and input saturation
• Neural networks-based command filtering control of nonlinear systems with uncertain disturbance
• Non-identifier-based high-gain adaptive control
• Adaptive fuzzy tracking control for a class of pure-feedback nonlinear systems with time-varying delay and unknown dead zone
• An improved adaptive neural dynamic surface control for pure-feedback systems with full state constraints and disturbance
• Adaptive neural dynamic surface control of strict-feedback nonlinear systems with full state constraints and unmodeled dynamics
• Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs
• New results on delay-dependent robust \(H_{\infty}\) control for systems with time-varying delays
• Dynamic surface control for a class of nonlinear systems
• Robust finite-time tracking control of nonholonomic mobile robots without velocity measurements
• Robust adaptive control of strict-feedback nonlinear systems with unmodelled dynamics and time-varying delays
• Control of nonlinear systems with partial state constraints using a barrier Lyapunov function
• Adaptive finite-time stabilization of a class of quantized nonlinearly parameterized systems
• Adaptive nonlinear design without a priori knowledge of control directions
• Output-Feedback Control for Stochastic Nonlinear Systems Subject to Input Saturation and Time-Varying Delay
• UNCERTAIN CHAOTIC SYSTEM CONTROL VIA ADAPTIVE NEURAL DESIGN
• Command Filtered Backstepping
• Adaptive control of a class of quantised nonlinearly parameterised systems with unknown control directions
• Adaptive neural network control for strict-feedback nonlinear systems using backstepping design

This page was built for publication: A neural composite dynamic surface control for pure‐feedback systems with unknown control gain signs and full state constraints