Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …

For nonlinear dynamical systems, an optimal control problem generally requires solving a
partial differential equation called the Hamilton–Jacobi–Bellman equation, the analytical …

In this paper, we propose a data-driven supplementary control approach with adaptive
learning capability for air-breathing hypersonic vehicle tracking control based on action …

In this paper, a novel discrete-time deterministic Q-learning algorithm is developed. In each
iteration of the developed Q-learning algorithm, the iterative Q function is updated for all the …

In this paper, a novel adaptive dynamic programming (ADP) algorithm, called “iterative zero-
sum ADP algorithm,” is developed to solve infinite-horizon discrete-time two-player zero …

In this paper, a novel mixed iterative adaptive dynamic programming (ADP) algorithm is
developed to solve the optimal battery energy management and control problem in smart …

In this paper, convergence properties are established for the newly developed discrete-time
local value iteration adaptive dynamic programming (ADP) algorithm. The present local …

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 …

A data-driven adaptive tracking control approach is proposed for a class of continuous-time
nonlinear systems using a recent developed goal representation heuristic dynamic …

In this paper, a novel optimal energy storage control scheme is investigated in smart grid
environments with solar renewable energy. Based on the idea of adaptive dynamic …