An intelligent sliding mode controller of robotic manipulators with output constraints and high‐level adaptation
From MaRDI portal
Publication:6090142
DOI10.1002/rnc.6174zbMath1528.93021OpenAlexW4280507414MaRDI QIDQ6090142
Publication date: 16 December 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.6174
sliding mode controlneural networklearning controlmotion controlconstrained controldisturbance observermanipulatorshigh-level learning
Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Variable structure systems (93B12)
Cites Work
- Adaptive backstepping control of wheeled inverted pendulums models
- Descriptor reduced-order sliding mode observers design for switched systems with sensor and actuator faults
- Control of nonlinear systems with time-varying output constraints
- Numerical differentiation for high orders by an integration method
- Barrier function-based adaptive sliding mode control
- An adaptive robust nonsingular fast terminal sliding mode controller based on wavelet neural network for a 2-DOF robotic arm
- Virtual decomposition control. Toward hyper degrees of freedom robots.
- Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems
- A unified approach to finite-time stabilization of high-order nonlinear systems with an asymmetric output constraint
- Second-order sliding mode controller design with output constraint
- A Time Delay Controller for Systems With Unknown Dynamics
- Higher-order sliding modes, differentiation and output-feedback control
- State Space Constrained Iterative Learning Control for Robotic Manipulators
- Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
- Prescribed Performance Adaptive Control for Multi-Input Multi-Output Affine in the Control Nonlinear Systems
- A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises
- Learning from neural control for non-affine systems with full state constraints using command filtering
- Learning representations by back-propagating errors
- Mathematical analysis II. Transl. from the 4th Russian edition by Roger Cooke