Output‐feedback Q‐learning for discrete‐time linear H∞ tracking control: A Stackelberg game approach

DOI10.1002/rnc.6169zbMath1528.93063OpenAlexW4280556130MaRDI QIDQ6090136

Qishao Wang, Zhi-Sheng Duan, Unnamed Author

Publication date: 16 December 2023

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.6169

zbMATH Keywords

reinforcement learningoutput feedback controlStackelberg game\(H_{\infty}\) tracking control

Mathematics Subject Classification ID

Hierarchical games (including Stackelberg games) (91A65) Feedback control (93B52) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36) Linear systems in control theory (93C05)

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Security consensus control for multi-agent systems under DoS attacks via reinforcement learning method

Cites Work

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• Robust adaptive dynamic programming for linear and nonlinear systems: an overview
• Reinforcement \(Q\)-learning for optimal tracking control of linear discrete-time systems with unknown dynamics
• \(\mathrm{H}_\infty\) control of linear discrete-time systems: off-policy reinforcement learning
• Model-free \(H_{\infty }\) control design for unknown linear discrete-time systems via Q-learning with LMI
• 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
• Adaptive optimal control for continuous-time linear systems based on policy iteration
• Optimal, constant I/O similarity scaling for full-information and state- feedback control problems
• Output feedback Q-learning for discrete-time linear zero-sum games with application to the \(H_\infty\) control
• Finite-frequency \(H_-/H_\infty\) unknown input observer-based distributed fault detection for multi-agent systems
• Adaptive Dynamic Programming and Adaptive Optimal Output Regulation of Linear Systems
• Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning
• ℋ︁_∞ -filtering for singularly perturbed nonlinear systems
• The discrete-time Riccati equation related to the H/sub ∞/ control problem
• Safe reinforcement learning for dynamical games
• Finite-Time Distributed Tracking Control for Multi-Agent Systems With a Virtual Leader
• Differential Games
• Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics
• LQ Synchronization of Discrete-Time Multiagent Systems: A Distributed Optimization Approach
• Output‐feedback H_∞ quadratic tracking control of linear systems using reinforcement learning
• Differential graphical games for H_∞ control of linear heterogeneous multiagent systems
• Stability Analysis of Discrete-Time Infinite-Horizon Optimal Control With Discounted Cost
• A data‐based private learning framework for enhanced security against replay attacks in cyber‐physical systems
• Adaptive optimization algorithm for nonlinear Markov jump systems with partial unknown dynamics

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