Pages that link to "Item:Q1012874"
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The following pages link to Adaptive optimal control for continuous-time linear systems based on policy iteration (Q1012874):
Displaying 50 items.
- Model-free \(H_\infty\) control design for unknown continuous-time linear system using adaptive dynamic programming (Q2821216) (← links)
- Design and comparison base analysis of adaptive estimator for completely unknown linear systems in the presence of OE noise and constant input time delay (Q2828544) (← links)
- A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications (Q2887630) (← links)
- Adaptive dynamic programming for an online solution of a zero-sum differential game (Q2887631) (← links)
- Online adaptive algorithm for optimal control with integral reinforcement learning (Q2935227) (← links)
- Discrete-time dynamic graphical games: model-free reinforcement learning solution (Q3196115) (← links)
- Adaptive control of diffusion processes with a discounted reward criterion (Q3386883) (← links)
- Adaptive dynamic programming for discrete-time linear quadratic regulation based on multirate generalised policy iteration (Q4569543) (← links)
- Optimal and robust control of a class of nonlinear systems using dynamically re-optimised single network adaptive critic design (Q4638032) (← links)
- Online optimal and adaptive integral tracking control for varying discrete‐time systems using reinforcement learning (Q5000722) (← links)
- Adaptive dynamic programming-based decentralised control for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay (Q5026582) (← links)
- Cooperative guidance for simultaneous attack: a fully distributed, adaptive, and optimal approach (Q5133414) (← links)
- Output‐feedback H<sub>∞</sub> quadratic tracking control of linear systems using reinforcement learning (Q5222718) (← links)
- Intelligent Human–Robot Interaction Systems Using Reinforcement Learning and Neural Networks (Q5223140) (← links)
- Online identifier–actor–critic algorithm for optimal control of nonlinear systems (Q5280130) (← links)
- A new iterative algorithm for solving<i>H</i><sub><i>∞</i></sub>control problem of continuous-time Markovian jumping linear systems based on online implementation (Q5298473) (← links)
- Approximately adaptive neural cooperative control for nonlinear multiagent systems with performance guarantee (Q5347306) (← links)
- Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming (Q5494514) (← links)
- Decentralised adaptive synchronisation of a class of discrete-time and nonlinearly parametrised coupled multi-agent systems (Q5855365) (← links)
- Reinforcement learning‐based adaptive optimal tracking algorithm for Markov jump systems with partial unknown dynamics (Q6054459) (← links)
- Off‐policy integral reinforcement learning‐based optimal tracking control for a class of nonzero‐sum game systems with unknown dynamics (Q6054473) (← links)
- A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems (Q6054572) (← links)
- Dynamic event-triggered controller design for nonlinear systems: reinforcement learning strategy (Q6057943) (← links)
- Heterogeneous multi-player imitation learning (Q6061914) (← links)
- Framework for learning and control in the classical and quantum domains (Q6065699) (← links)
- Online inverse reinforcement learning for nonlinear systems with adversarial attacks (Q6071530) (← links)
- Adaptive optimal control of continuous-time nonlinear affine systems via hybrid iteration (Q6073102) (← links)
- Partial model‐free sliding mode control design for a class of disturbed systems via computational learning algorithm (Q6078797) (← links)
- Learning‐based <i>T</i>‐sHDP() for optimal control of a class of nonlinear discrete‐time systems (Q6085183) (← links)
- Optimal robust formation control for heterogeneous multi‐agent systems based on reinforcement learning (Q6085187) (← links)
- Adaptive dynamic optimal control for triggered networked switched systems under dual‐ended denial‐of‐service attacks (Q6089769) (← links)
- Integral reinforcement learning‐based approximate minimum time‐energy path planning in an unknown environment (Q6089846) (← links)
- Adaptive optimization algorithm for nonlinear Markov jump systems with partial unknown dynamics (Q6089861) (← links)
- Output‐feedback Q‐learning for discrete‐time linear <i>H</i><sup>∞</sup> tracking control: A Stackelberg game approach (Q6090136) (← links)
- Inverse reinforcement learning for identification of linear-quadratic zero-sum differential games (Q6099685) (← links)
- An adaptive dynamic programming method for observer‐based sliding mode control of connected vehicles subject to deception attacks (Q6117561) (← links)
- Safe adaptive learning algorithm with neural network implementation for H∞ control of nonlinear safety‐critical system (Q6136617) (← links)
- An adaptive dynamic programming-based algorithm for infinite-horizon linear quadratic stochastic optimal control problems (Q6138373) (← links)
- Adaptive neural optimal control via command filter for nonlinear multi‐agent systems including time‐varying output constraints (Q6141926) (← links)
- Observer‐based event triggered ADP approach for input‐constrained nonlinear systems with disturbances (Q6152734) (← links)
- Improved off‐policy reinforcement learning algorithm for robust control of unmodeled nonlinear system with asymmetric state constraints (Q6190240) (← links)
- Trajectory tracking control for underactuated autonomous vehicles via adaptive dynamic programming (Q6190552) (← links)
- Adaptive output feedback reinforcement learning control for continuous time switched stochastic nonlinear systems with unknown control coefficients and full-state constraints (Q6191331) (← links)
- Solution of the linear quadratic regulator problem of black box linear systems using reinforcement learning (Q6199564) (← links)
- Extremum seeking for optimal control problems with unknown time-varying systems and unknown objective functions (Q6494277) (← links)
- Nonzero-sum games using actor-critic neural networks: a dynamic event-triggered adaptive dynamic programming (Q6495109) (← links)
- Reinforcement learning-based event-triggered optimal control for unknown nonlinear systems with input delay (Q6496270) (← links)
- Optimal control for continuous-time Markov jump singularly perturbed systems: a hybrid reinforcement learning scheme (Q6542494) (← links)
- Exponentially stable adaptive optimal control of uncertain LTI systems (Q6558280) (← links)
- Infinite time linear quadratic Stackelberg game problem for unknown stochastic discrete-time systems via adaptive dynamic programming approach (Q6569870) (← links)
