Reinforcement learning for control design of uncertain polytopic systems
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Publication:6494651
DOI10.1016/J.INS.2023.01.042MaRDI QIDQ6494651
Pedro M. Oliveira, Jonathan M. Palma, Márcio J. Lacerda, Erivelton Geraldo Nepomuceno
Publication date: 30 April 2024
Published in: Information Sciences (Search for Journal in Brave)
polytopic uncertaintypole placementreinforcement learningstatic output-feedbackSARSArobust state-feedback
Learning and adaptive systems in artificial intelligence (68T05) Feedback control (93B52) Discrete-time control/observation systems (93C55) Pole and zero placement problems (93B55)
Cites Work
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- \(\mathrm{H}_\infty\) control of linear discrete-time systems: off-policy reinforcement learning
- Convergence results for single-step on-policy reinforcement-learning algorithms
- A new discrete-time robust stability condition
- Optimal tracking control based on reinforcement learning value iteration algorithm for time-delayed nonlinear systems with external disturbances and input constraints
- Stability of uncertain systems using Lyapunov functions with non-monotonic terms
- Observer-based guaranteed cost control of cyber-physical systems under DoS jamming attacks
- New robust LMI synthesis conditions for mixed gain‐scheduled reduced‐order DOF control of discrete‐time LPV systems
- Output feedback disk pole assignment for systems with positive real uncertainty
- Pole assignment for uncertain systems in a specified disk by state feedback
- Algorithm 998
- LMI Techniques for Optimization Over Polynomials in Control: A Survey
- Static Output Feedback Control Synthesis for Linear Systems With Time-Invariant Parametric Uncertainties
- Linear matrix inequality‐based solution for memory static output‐feedback control of discrete‐time linear systems affected by time‐varying parameters
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