Adaptive neural network control for a class of stochastic nonholonomic systems with both full-state constraints and full-input saturation
From MaRDI portal
Publication:6591171
DOI10.1002/rnc.7458zbMATH Open1545.93268MaRDI QIDQ6591171
Publication date: 21 August 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
adaptive neural network controlbackstepping designstochastic nonholonomic systemsfull-state constraintsfull-input saturation
Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03) Nonholonomic systems related to the dynamics of a system of particles (70F25) Networked control (93B70)
Cites Work
- Unnamed Item
- Unnamed Item
- Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems
- Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints
- Saturated control of chained nonholonomic systems
- Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with dead-zone
- Stochastic nonlinear stabilization. I: A backstepping design
- Adaptive NN control of uncertain nonlinear pure-feedback systems
- Universal strategies to explicit adaptive control of nonlinear time-delay systems with different structures
- Adaptive stabilization and tracking control of a nonholonomic mobile robot with input saturation and disturbance
- Control design for chained-form systems with bounded inputs
- Adding one power integrator: a tool for global stabilization of high-order lower-triangular systems
- Output feedback stabilization via nonlinear mapping for time-varying constrained nonholonomic systems in prescribed finite time
- Adaptive dynamic surface tracking control for uncertain full-state constrained nonlinear systems with disturbance compensation
- Nonlinear mapping-based fixed-time stabilization of uncertain nonholonomic systems with time-varying state constraints
- Adaptive neural network finite-time tracking control of full state constrained pure feedback stochastic nonlinear systems
- Control of nonlinear systems under dynamic constraints: a unified barrier function-based approach
- Distributed control of higher-order nonlinear multi-agent systems with unknown non-identical control directions under general directed graphs
- Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach
- Semiglobal practical stabilization of nonholonomic wheeled mobile robots with saturated inputs
- Robust Practical Stabilization of Nonholonomic Mobile Robots Based on Visual Servoing Feedback with Inputs Saturation
- Control of nonlinear systems with partial state constraints using a barrier Lyapunov function
- Adaptive tracking control of uncertain nonholonomic dynamic system
- Stabilization of stochastic nonlinear systems driven by noise of unknown covariance
- Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems
- Robust adaptive backstepping tracking control of stochastic nonlinear systems with unknown input saturation: A command filter approach
- Finite‐time output‐feedback stabilization of high‐order nonholonomic systems
- Simultaneous design of AWC and nonlinear controller for uncertain nonlinear systems under input saturation
- Saturated stabilization and tracking of a nonholonomic mobile robot
This page was built for publication: Adaptive neural network control for a class of stochastic nonholonomic systems with both full-state constraints and full-input saturation