Improved off‐policy reinforcement learning algorithm for robust control of unmodeled nonlinear system with asymmetric state constraints

Cites Work

Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
\(\mathrm{H}_\infty\) control of linear discrete-time systems: off-policy reinforcement learning
An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games
Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints
Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
Adaptive optimal control for continuous-time linear systems based on policy iteration
Barrier Lyapunov functions for the control of output-constrained nonlinear systems
Design of robust adaptive controllers for nonlinear systems with dynamic uncertainties
A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems
Reinforcement learning solution for HJB equation arising in constrained optimal control problem
Principal component analysis.
Integrated guidance and autopilot design for a chasing UAV via high-order sliding modes
Adaptive neural dynamic surface control of strict-feedback nonlinear systems with full state constraints and unmodeled dynamics
Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
Dynamic surface control for a class of nonlinear systems
Design and Comparison Base Analysis of Adaptive Estimator for Completely Unknown Linear Systems in the Presence of OE Noise and Constant Input Time Delay
Computationally efficient simultaneous policy update algorithm for nonlinearH_∞state feedback control with Galerkin's method
Adaptive dynamic programming for online solution of a zero-sum differential game
Adaptive Dynamic Programming for Stochastic Systems With State and Control Dependent Noise
Control of nonlinear systems with partial state constraints using a barrier Lyapunov function
Disturbance attenuation and H/sub infinity /-control via measurement feedback in nonlinear systems
Probabilistic Principal Component Analysis
A subspace approach to balanced truncation for model reduction of nonlinear control systems
Robust Adaptive Dynamic Programming
Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics
Adaptive neural network control for strict-feedback nonlinear systems using backstepping design