LQR controller design for affine LPV systems using reinforcement learning
DOI10.1080/00207721.2024.2321370MaRDI QIDQ6577130
Author name not available (Why is that?), Hajar Atrianfar, M. B. Menhaj
Publication date: 23 July 2024
Published in: International Journal of Systems Science. Principles and Applications of Systems and Integration (Search for Journal in Brave)
Convex programming (90C25) Learning and adaptive systems in artificial intelligence (68T05) Stabilization of systems by feedback (93D15) Multivariable systems, multidimensional control systems (93C35) Linear systems in control theory (93C05)
Cites Work
- Title not available (Why is that?)
- Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
- Adaptive optimal control for continuous-time linear systems based on policy iteration
- Robust tube-based model predictive control of LPV systems subject to adjustable additive disturbance set
- Robust event-triggered model predictive control of polytopic LPV systems: an input-to-state stability approach
- Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning
- Realization Theory for LPV State-Space Representations With Affine Dependence
- Gain-scheduled output-feedback control of uncertain input-delay LPV systems with saturation via polytopic differential inclusion
- Adaptive dynamic programming for finite-horizon optimal control of linear time-varying discrete-time systems
- Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers
- Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach
- Reinforcement learning-based optimised control for a class of second-order nonlinear dynamic systems
- Design of a mixed ℋ2/ℋ∞ gain scheduling state derivative feedback controller for linear parameter-varying systems
- Undiscounted reinforcement learning for infinite-time optimal output tracking and disturbance rejection of discrete-time LTI systems with unknown dynamics
- Finding the LQR Weights to Ensure the Associated Riccati Equations Admit a Common Solution
- Data-driven safe gain-scheduling control
This page was built for publication: LQR controller design for affine LPV systems using reinforcement learning
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6577130)
