Model predictive tracking control with disturbance compensation for wheeled mobile robots in an environment with obstacles
From MaRDI portal
Publication:6168956
DOI10.1016/j.jfranklin.2023.05.004zbMath1518.93032MaRDI QIDQ6168956
Unnamed Author, Hongjiu Yang, Shizhan Wang
Publication date: 11 July 2023
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
wheeled mobile robotmodel predictive controltrajectory tracking controlclosed-loop system stabilityfixed-time extended state observer
Automated systems (robots, etc.) in control theory (93C85) Model predictive control (93B45) Observers (93B53)
Related Items (1)
Cites Work
- Tracking control of wheeled mobile robots with communication delay and data loss
- Robust MPC for tracking constrained unicycle robots with additive disturbances
- Trajectory tracking control for wheeled mobile robots based on nonlinear disturbance observer with extended Kalman filter
- Finite-time control of discrete-time semi-Markov jump linear systems: a self-triggered MPC approach
- An adaptive control strategy for indoor leader-following of wheeled mobile robot
- On homogeneity and its application in sliding mode control
- Geometric homogeneity with applications to finite-time stability
- Finite-time sliding mode control for singularly perturbed PDE systems
- Event-Based Model Predictive Tracking Control of Nonholonomic Systems With Coupled Input Constraint and Bounded Disturbances
- A novel event‐triggered extended state observer for networked control systems subjected to external disturbances
- Dual closed‐loop tracking control for wheeled mobile robots via active disturbance rejection control and model predictive control
- Model Predictive Control, Cost Controllability, and Homogeneity
- Finite/Fixed-Time Stabilization for Nonlinear Interconnected Systems With Dead-Zone Input
- Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model
This page was built for publication: Model predictive tracking control with disturbance compensation for wheeled mobile robots in an environment with obstacles