Ship collisions cause major losses in terms of property, equipment, and human lives.
Therefore, more investigations should be focused on this problem, which mainly results from …

Because of a powerful temporal-difference (TD) with λ [TD (λ)] learning method, this paper
presents a novel n-step adaptive dynamic programming (ADP) architecture that combines …

The volatile wind power generation brings a full spectrum of problems to power system
operation and management, ranging from transient system frequency fluctuation to steady …

In problems with complex dynamics and challenging state spaces, the dual heuristic
programming (DHP) algorithm has been shown theoretically and experimentally to perform …

Uncertainty and nonlinearity are involved in all walks of life. Every living organism in the
nature interacts with its environment and improves its own actions to survive and increase …

A model-free controller for a general class of output feedback nonlinear discrete-time
systems is established by action-critic networks and reinforcement learning with human …

A speed controller for permanent magnet synchronous motors (PMSMs) under the field
oriented control (FOC) method is discussed in this paper. First, a novel adaptive neuro …

In this paper, a novel active power oscillation damping controller for superconducting
magnetic energy storage (SMES) is developed to increase the power system transient …

An event‐triggered‐based approximate optimal control is developed for modular robot
manipulators (MRMs) using zero‐sum game strategy. By utilizing the joint torque feedback …

In this paper a novel integrated adaptive dynamic programming method with an advantage
function is developed to solve model-free optimal control problems and improve the control …