Modares et al., 2014 - Google Patents
Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systemsModares et al., 2014
- Document ID
- 2553861310871152459
- Author
- Modares H
- Lewis F
- Naghibi-Sistani M
- Publication year
- Publication venue
- Automatica
External Links
Snippet
In this paper, an integral reinforcement learning (IRL) algorithm on an actor–critic structure is developed to learn online the solution to the Hamilton–Jacobi–Bellman equation for partially- unknown constrained-input systems. The technique of experience replay is used to update …
- 230000002787 reinforcement 0 title abstract description 32
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Modares et al. | Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems | |
Modares et al. | Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning | |
Luo et al. | Reinforcement learning solution for HJB equation arising in constrained optimal control problem | |
Huang et al. | Adaptive finite-time consensus control of a group of uncertain nonlinear mechanical systems | |
Kamalapurkar et al. | Model-based reinforcement learning for approximate optimal regulation | |
Bhasin et al. | A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems | |
Lee et al. | Integral Q-learning and explorized policy iteration for adaptive optimal control of continuous-time linear systems | |
Li et al. | Set stabilization for switched Boolean control networks | |
Liu et al. | Adaptive fuzzy prescribed performance controller design for a class of uncertain fractional-order nonlinear systems with external disturbances | |
Xiong et al. | Iterative learning control for discrete-time systems with event-triggered transmission strategy and quantization | |
Lee et al. | Output feedback stabilization of inverted pendulum on a cart in the presence of uncertainties | |
Zhao et al. | Global stabilization of stochastic high-order feedforward nonlinear systems with time-varying delay | |
Kiumarsi et al. | H∞ control of linear discrete-time systems: Off-policy reinforcement learning | |
Luo et al. | Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design | |
Zhao et al. | Distributed adaptive fixed-time consensus tracking for second-order multi-agent systems using modified terminal sliding mode | |
Jiao et al. | Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control | |
Li et al. | Adaptive asymptotic tracking control of uncertain nonlinear systems with input quantization and actuator faults | |
Bekiaris-Liberis et al. | Robustness of nonlinear predictor feedback laws to time-and state-dependent delay perturbations | |
Hou et al. | Non-fragile state estimation for discrete Markovian jumping neural networks | |
Zong et al. | Decentralized finite-time attitude synchronization for multiple rigid spacecraft via a novel disturbance observer | |
Kao et al. | A sliding mode approach to H∞ non-fragile observer-based control design for uncertain Markovian neutral-type stochastic systems | |
Vamvoudakis et al. | Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality | |
Bechlioulis et al. | A low-complexity global approximation-free control scheme with prescribed performance for unknown pure feedback systems | |
Ríos et al. | Fault tolerant control allocation via continuous integral sliding-modes: a HOSM-observer approach | |
Li et al. | Non-fragile state estimation for delayed fractional-order memristive neural networks |