Hamiltonian-driven adaptive dynamic programming with efficient experience replay
This article presents a novel efficient experience-replay-based adaptive dynamic
programming (ADP) for the optimal control problem of a class of nonlinear dynamical …
programming (ADP) for the optimal control problem of a class of nonlinear dynamical …
Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation
This article presents a model-free-policy iteration (-PI) for the discrete-time linear quadratic
regulation (LQR) problem. To solve the algebraic Riccati equation arising from solving the …
regulation (LQR) problem. To solve the algebraic Riccati equation arising from solving the …
Robust actor–critic learning for continuous-time nonlinear systems with unmodeled dynamics
This article considers the robust optimal control problem for a class of nonlinear systems in
the presence of unmodeled dynamics. An adaptive optimal controller is designed using the …
the presence of unmodeled dynamics. An adaptive optimal controller is designed using the …
Hamiltonian-driven adaptive dynamic programming with approximation errors
In this article, we consider an iterative adaptive dynamic programming (ADP) algorithm
within the Hamiltonian-driven framework to solve the Hamilton–Jacobi–Bellman (HJB) …
within the Hamiltonian-driven framework to solve the Hamilton–Jacobi–Bellman (HJB) …
Event-Triggered Control of Nonlinear Discrete-Time System With Unknown Dynamics Based on HDP(λ)
T Li, D Yang, X **e, H Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The heuristic dynamic programming (HDP)()-based optimal control strategy, which takes a
long-term prediction parameter into account using an iterative manner, accelerates the …
long-term prediction parameter into account using an iterative manner, accelerates the …
Online barrier-actor-critic learning for H∞ control with full-state constraints and input saturation
This paper develops a novel adaptive optimal control design method with full-state
constraints and input saturation in the presence of external disturbance. First, to consider the …
constraints and input saturation in the presence of external disturbance. First, to consider the …
Leader–follower output synchronization of linear heterogeneous systems with active leader using reinforcement learning
This paper develops optimal control protocols for the distributed output synchronization
problem of leader-follower multiagent systems with an active leader. Agents are assumed to …
problem of leader-follower multiagent systems with an active leader. Agents are assumed to …
Safe reinforcement learning for dynamical games
This article presents a novel actor‐critic‐barrier structure for the multiplayer safety‐critical
systems. Non‐zero‐sum (NZS) games with full‐state constraints are first transformed into …
systems. Non‐zero‐sum (NZS) games with full‐state constraints are first transformed into …
Event-triggered adaptive dynamic programming for unmatched uncertain nonlinear continuous-time systems
In this article, an event-triggered adaptive dynamic programming (ADP) method is proposed
to solve the robust control problem of unmatched uncertain systems. First, the robust control …
to solve the robust control problem of unmatched uncertain systems. First, the robust control …
Robust neurooptimal control for a robot via adaptive dynamic programming
We aim at the optimization of the tracking control of a robot to improve the robustness, under
the effect of unknown nonlinear perturbations. First, an auxiliary system is introduced, and …
the effect of unknown nonlinear perturbations. First, an auxiliary system is introduced, and …