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Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Adaptive Human-Robot Collaboration Control Based on Optimal Admittance Parameters
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Adaptive Dynamic Programming for Minimal Energy Control with Guaranteed Convergence Rate of Linear Systems
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Model-free Optimal Tracking Control for an Aircraft Skin Inspection Robot with Constrained-input and Input Time-delay via Integral Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/s12555-019-0912-9openalex-snapshot
Adaptive Reinforcement Learning Strategy with Sliding Mode Control for Unknown and Disturbed Wheeled Inverted Pendulum
inferred← citeshttps://doi.org/10.1007/s12555-022-0364-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40815-023-01589-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41315-020-00159-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-14081-5.00024-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-14081-5.00053-2openalex-snapshot
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Reinforcement learning-based linear quadratic tracking control for partially unknown Markov jump singular interconnected systems
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Reinforcement learning based computational adaptive optimal control and system identification for linear systems
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Reinforcement learning for control: Performance, stability, and deep approximators
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An ADDHP-based Q-learning algorithm for optimal tracking control of linear discrete-time systems with unknown dynamics
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Online Q-learning for stochastic linear systems with state and control dependent noise
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Online integral reinforcement learning control for an uncertain highly flexible aircraft using state and output feedback
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Adaptive model-free fault-tolerant control based on integral reinforcement learning for a highly flexible aircraft with actuator faults
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Reinforcement -learning for optimal tracking control of linear discrete-time systems with unknown dynamics
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Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
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Adaptive dynamic programming and optimal control of nonlinear nonaffine systems
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Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design
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Approximate optimal trajectory tracking for continuous-time nonlinear systems
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Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design
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Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
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Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning
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H ∞ control of linear discrete-time systems: Off-policy reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.automatica.2017.01.014openalex-snapshot
Data-driven model reduction by moment matching for linear and nonlinear systems
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Novel iterative neural dynamic programming for data-based approximate optimal control design
inferred← citeshttps://doi.org/10.1016/j.automatica.2018.10.038openalex-snapshot
Reinforcement learning for a class of continuous-time input constrained optimal control problems
inferred← citeshttps://doi.org/10.1016/j.automatica.2019.108672openalex-snapshot
Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems
inferred← citeshttps://doi.org/10.1016/j.automatica.2020.109081openalex-snapshot
Off-policy learning for adaptive optimal output synchronization of heterogeneous multi-agent systems
inferred← citeshttps://doi.org/10.1016/j.automatica.2020.109272openalex-snapshot
Output feedback adaptive dynamic programming for linear differential zero-sum games
inferred← citeshttps://doi.org/10.1016/j.automatica.2020.109451openalex-snapshot
Reduced-dimensional reinforcement learning control using singular perturbation approximations
inferred← citeshttps://doi.org/10.1016/j.automatica.2021.110058openalex-snapshot
Bias-policy iteration based adaptive dynamic programming for unknown continuous-time linear systems
inferred← citeshttps://doi.org/10.1016/j.automatica.2021.110103openalex-snapshot
Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback
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Homotopic policy iteration-based learning design for unknown linear continuous-time systems
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