Pages that link to "Item:Q463893"

The following pages link to Reinforcement \(Q\)-learning for optimal tracking control of linear discrete-time systems with unknown dynamics (Q463893):

Displaying 50 items.

• ADP based optimal tracking control for a class of linear discrete-time system with multiple delays (Q328033) (← links)
• Efficient model-based reinforcement learning for approximate online optimal control (Q340682) (← links)
• Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning (Q458982) (← links)
• Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach (Q511735) (← links)
• \(\mathrm{H}_\infty\) control of linear discrete-time systems: off-policy reinforcement learning (Q518303) (← links)
• Planning for optimal control and performance certification in nonlinear systems with controlled or uncontrolled switches (Q518337) (← links)
• Integral \(Q\)-learning and explorized policy iteration for adaptive optimal control of continuous-time linear systems (Q694822) (← links)
• Robust optimal control for finite-horizon zero-sum differential games via a plug-n-play event-triggered scheme (Q776068) (← links)
• Model-based reinforcement learning for approximate optimal regulation (Q899267) (← links)
• Non-zero sum Nash Q-learning for unknown deterministic continuous-time linear systems (Q900691) (← links)
• Inversion-based output tracking and unknown input reconstruction of square discrete-time linear systems (Q1626854) (← links)
• Optimal scheduling for reference tracking or state regulation using reinforcement learning (Q1660548) (← links)
• An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems (Q1661214) (← links)
• Data-driven optimal tracking control for discrete-time systems with delays using adaptive dynamic programming (Q1661945) (← links)
• Output synchronization of heterogeneous discrete-time systems: a model-free optimal approach (Q1680903) (← links)
• Reinforcement learning for a class of continuous-time input constrained optimal control problems (Q1716659) (← links)
• Discrete-time dynamical maximum power tracking control for a vertical axis water turbine with retractable blades (Q1726043) (← links)
• Data-driven approximate Q-learning stabilization with optimality error bound analysis (Q1737866) (← links)
• Optimal distributed synchronization control for continuous-time heterogeneous multi-agent differential graphical games (Q1749910) (← links)
• Online adaptive policy iteration based fault-tolerant control algorithm for continuous-time nonlinear tracking systems with actuator failures (Q1797160) (← links)
• Finite-horizon optimal control of discrete-time linear systems with completely unknown dynamics using Q-learning (Q1983705) (← links)
• Learning output reference model tracking for higher-order nonlinear systems with unknown dynamics (Q2004902) (← links)
• Model-free \(H_\infty\) tracking control for de-oiling hydrocyclone systems via off-policy reinforcement learning (Q2065210) (← links)
• Mixed density methods for approximate dynamic programming (Q2094030) (← links)
• Dissipativity-based verification for autonomous systems in adversarial environments (Q2094038) (← links)
• Computational intelligence in uncertainty quantification for learning control and differential games (Q2094042) (← links)
• Online data-enabled predictive control (Q2123194) (← links)
• Neural-network-based stochastic linear quadratic optimal tracking control scheme for unknown discrete-time systems using adaptive dynamic programming (Q2138901) (← links)
• Model-free finite-horizon optimal tracking control of discrete-time linear systems (Q2161893) (← links)
• Robust min-max optimal control design for systems with uncertain models: a neural dynamic programming approach (Q2185769) (← links)
• A Q-learning predictive control scheme with guaranteed stability (Q2220029) (← links)
• Tracking control optimization scheme for a class of partially unknown fuzzy systems by using integral reinforcement learning architecture (Q2279428) (← links)
• Finite-horizon optimal tracking guidance for aircraft based on approximate dynamic programming (Q2298912) (← links)
• A novel adaptive dynamic programming based on tracking error for nonlinear discrete-time systems (Q2665177) (← links)
• Fault-tolerant tracking control based on reinforcement learning with application to a steer-by-wire system (Q2667426) (← links)
• On the effect of probing noise in optimal control LQR via Q-learning using adaptive filtering algorithms (Q2673621) (← links)
• Stable image representation based stability performance monitoring and recovery for feedback control systems (Q2676148) (← links)
• Linear quadratic tracking control of unknown systems: a two-phase reinforcement learning method (Q2682307) (← links)
• Reinforcement learning and cooperative \(H_\infty\) output regulation of linear continuous-time multi-agent systems (Q2682314) (← links)
• Off-policy reinforcement learning for tracking control of discrete-time Markov jump linear systems with completely unknown dynamics (Q2684654) (← links)
• Event-triggered optimal tracking control of nonlinear systems (Q2965287) (← links)
• Optimal control of a class of nonlinear stochastic systems (Q3931287) (← links)
• Fault-tolerant optimised tracking control for unknown discrete-time linear systems using a combined reinforcement learning and residual compensation methodology (Q4600024) (← links)
• Online optimal and adaptive integral tracking control for varying discrete‐time systems using reinforcement learning (Q5000722) (← links)
• Adaptive dynamic programming for model‐free tracking of trajectories with time‐varying parameters (Q5003423) (← links)
• Optimal control for unknown mean-field discrete-time system based on Q-Learning (Q5029154) (← links)
• Data-driven optimal tracking control of discrete-time linear systems with multiple delays via the value iteration algorithm (Q5046859) (← links)
• A Q-Learning Algorithm for Discrete-Time Linear-Quadratic Control with Random Parameters of Unknown Distribution: Convergence and Stabilization (Q5093265) (← links)
• Simultaneous identification and optimal tracking control of unknown continuous-time systems with actuator constraints (Q5095538) (← links)
• Self-improving Q-learning based controller for a class of dynamical processes (Q5097057) (← links)