The heuristic dynamic programming (HDP)()-based optimal control strategy, which takes a
long-term prediction parameter into account using an iterative manner, accelerates the …

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 …

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

This paper provides the stability analysis for a model-free action-dependent heuristic
dynamic programing (HDP) approach with an eligibility trace long-term prediction parameter …

In recent years, a gradient of the n-step temporal-difference [TD (λ)] learning has been
developed to present an advanced adaptive dynamic programming (ADP) algorithm, called …

This paper presents the state-of-the-art of the artificial intelligence algorithm, named dual
heuristic dynamic programming (DHP) that uses to solve the petroleum optimization-control …

The turbine units are at the forefront of equipment in the process of pumping crude oil and
exporting it to the oil ports, where there are many types of turbines used in different sites of …

Abstract" This dissertation investigates the application of a variety of computational
intelligence techniques, particularly clustering and adaptive dynamic programming (ADP) …

Navigation and obstacle avoidance are important tasks in the research field of autonomous
mobile robots. The challenge tackled in this work is the navigation of a 4-wheeled car-type …