Online barrier-actor-critic learning for \(H_\infty\) control with full-state constraints and input saturation
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Publication:2181417
DOI10.1016/J.JFRANKLIN.2019.12.017zbMath1437.93027OpenAlexW2996568167MaRDI QIDQ2181417
Yixin Yin, Haoyi Xiong, Donald C. II Wunsch, Yong-Liang Yang, Da-wei Ding
Publication date: 19 May 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2019.12.017
Differential games and control (49N70) Adaptive control/observation systems (93C40) (H^infty)-control (93B36)
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Cites Work
- Unnamed Item
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- Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
- Prescribed performance tracking for flexible joint robots with unknown dynamics and variable elasticity
- Guaranteeing preselected tracking quality for uncertain strict-feedback systems with deadzone input nonlinearity and disturbances via low-complexity control
- Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints
- Control design for a vibrating flexible marine riser system
- Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
- Barrier Lyapunov functions for the control of output-constrained nonlinear systems
- Adaptive nonlinear control without overparametrization
- Adaptive neural network based prescribed performance control for teleoperation system under input saturation
- Disturbance observer-based robust missile autopilot design with full-state constraints via adaptive dynamic programming
- Adaptive tracking control for nonlinear time-varying delay systems with full state constraints and unknown control coefficients
- A robust adaptive nonlinear control design
- Neural robust stabilization via event-triggering mechanism and adaptive learning technique
- A neuroadaptive architecture for model reference control of uncertain dynamical systems with performance guarantees
- Delay-range-dependent static anti-windup compensator design for nonlinear systems subjected to input-delay and saturation
- Online solution of nonquadratic two-player zero-sum games arising in theH ∞ control of constrained input systems
- Decentralized Robust Synchronization of Unknown High Order Nonlinear Multi-Agent Systems With Prescribed Transient and Steady State Performance
- Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning
- State-space solutions to standard H/sub 2/ and H/sub infinity / control problems
- L/sub 2/-gain analysis of nonlinear systems and nonlinear state-feedback H/sub infinity / control
- Deadzone compensation in motion control systems using neural networks
- Adaptive control of plants with unknown hystereses
- Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
- Dynamic intermittent Q‐learning–based model‐free suboptimal co‐design of ‐stabilization
- \(H^ \infty\)-optimal control and related minimax design problems. A dynamic game approach.
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