Bias-policy iteration based adaptive dynamic programming for unknown continuous-time linear systems
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Publication:2063829
DOI10.1016/j.automatica.2021.110058zbMath1487.49034OpenAlexW4200500895MaRDI QIDQ2063829
Publication date: 3 January 2022
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2021.110058
Dynamic programming in optimal control and differential games (49L20) Linear systems in control theory (93C05) Linear optimal control problems (49N05)
Related Items (3)
Modified general policy iteration based adaptive dynamic programming for unknown discrete‐time linear systems ⋮ Optimal reconstruction of constrained Janbu method with ADP and non-integral safety factor ⋮ Robust optimal control of the multi‐input systems with unknown disturbance based on adaptive integral reinforcement learning Q‐function
Cites Work
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- Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design
- Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
- Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach
- Model-free \(Q\)-learning designs for linear discrete-time zero-sum games with application to \(H^\infty\) control
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
- A parametric Lyapunov equation approach to low gain feedback design for discrete-time systems
- Adaptive optimal control for continuous-time linear systems based on policy iteration
- The Riccati equation
- Cooperative adaptive optimal output regulation of nonlinear discrete-time multi-agent systems
- 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
- Approximate policy iteration: a survey and some new methods
- Adaptive Dynamic Programming and Adaptive Optimal Output Regulation of Linear Systems
- Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems
- A Parametric Lyapunov Equation Approach to the Design of Low Gain Feedback
- Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics
- On Model-Free Adaptive Control and Its Stability Analysis
- Dynamic intermittent Q‐learning–based model‐free suboptimal co‐design of ‐stabilization
- Approximate Dynamic Programming
- Stability of Stochastic Approximation under Verifiable Conditions
- Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach
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