Data-driven ensemble optimal compensation control for partially known delayed and persistently disturbed nonlinear systems
From MaRDI portal
Publication:6495040
DOI10.1016/J.JFRANKLIN.2024.106706MaRDI QIDQ6495040
Changzhu Zhang, Zhuping Wang, Suneel Kumar Kommuri, Hao Zhang, Xuyang Guo, Unnamed Author
Publication date: 30 April 2024
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Perturbations in control/observation systems (93C73) Model predictive control (93B45)
Cites Work
- Unnamed Item
- A new kernel-based approach for linear system identification
- From model-based control to data-driven control: survey, classification and perspective
- Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
- Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee
- Adaptive Model Predictive Control for Unconstrained Discrete-Time Linear Systems With Parametric Uncertainties
- Model selection approaches for non-linear system identification: a review
- An Optimal Control Scheme for a Class of Discrete-time Nonlinear Systems with Time Delays Using Adaptive Dynamic Programming
- Safe Reinforcement Learning Using Robust MPC
- Indirect Adaptive MPC for Discrete-Time LTI Systems With Parametric Uncertainties
- Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks
- Min-max control of constrained uncertain discrete-time linear systems
- Input-to-state stability for discrete-time nonlinear systems
- Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation
This page was built for publication: Data-driven ensemble optimal compensation control for partially known delayed and persistently disturbed nonlinear systems
