Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF CONTROL
Volume 87, Issue 3, Pages 553-566
Publisher
Informa UK Limited
Online
2013-10-01
DOI
10.1080/00207179.2013.848292
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm
- (2013) Derong Liu et al. NEUROCOMPUTING
- Accurate Estimation of Human Body Orientation From RGB-D Sensors
- (2013) Wu Liu et al. IEEE Transactions on Cybernetics
- Constrained adaptive optimal control using a reinforcement learning agent
- (2012) Wei-Song Lin et al. AUTOMATICA
- Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming
- (2012) Ding Wang et al. AUTOMATICA
- A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems
- (2012) S. Bhasin et al. AUTOMATICA
- An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs
- (2012) Derong Liu et al. INFORMATION SCIENCES
- Online solution of nonquadratic two-player zero-sum games arising in theH ∞ control of constrained input systems
- (2012) Hamidreza Modares et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Adaptive optimal control for a class of continuous-time affine nonlinear systems with unknown internal dynamics
- (2012) Derong Liu et al. NEURAL COMPUTING & APPLICATIONS
- An iterative -optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state
- (2012) Qinglai Wei et al. NEURAL NETWORKS
- Optimality and convergence of adaptive optimal control by reinforcement synthesis
- (2011) Wei-Song Lin AUTOMATICA
- Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method
- (2011) Huaguang Zhang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- An almost optimal control design method for nonlinear time-delay systems
- (2011) A.J. Koshkouei et al. INTERNATIONAL JOURNAL OF CONTROL
- Nonlinear and locally optimal controllers design for input affine locally controllable systems
- (2011) Mariem Sahnoun et al. INTERNATIONAL JOURNAL OF CONTROL
- Online actor–critic algorithm to solve the continuous-time infinite horizon optimal control problem
- (2010) Kyriakos G. Vamvoudakis et al. AUTOMATICA
- An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games
- (2010) Huaguang Zhang et al. AUTOMATICA
- Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With $\varepsilon$-Error Bound
- (2010) Fei-Yue Wang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- An integrated optimal control algorithm for discrete-time nonlinear stochastic system
- (2010) Sie Long Kek et al. INTERNATIONAL JOURNAL OF CONTROL
- Reinforcement learning and adaptive dynamic programming for feedback control
- (2009) Frank L. Lewis et al. IEEE Circuits and Systems Magazine
- Adaptive Dynamic Programming: An Introduction
- (2009) Fei-Yue Wang et al. IEEE Computational Intelligence Magazine
- Integrated nonlinear optimal control of spacecraft in proximity operations
- (2009) Ming Xin et al. INTERNATIONAL JOURNAL OF CONTROL
- Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence
- (2009) Travis Dierks et al. NEURAL NETWORKS
- Neural Network Adaptive Control for a Class of Nonlinear Uncertain Dynamical Systems With Asymptotic Stability Guarantees
- (2008) T. Hayakawa et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now