In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …

To enhance the machines' intelligence, it is important for them to learn how humans perform
tasks. In this article, the issue of online adaptive learning human behavior is addressed for a …

Researchers in biomechanics, neuroscience, human–machine interaction and other fields
are interested in inferring human intentions and objectives from observed actions. The …

There have been broad ranges of human-in-the-loop (HiTL) control systems, like fly-by-wire
aircraft, share driving, and energy management. To develop advanced HiTL control systems …

This letter addresses the inverse problem of differential games, where the aim is to compute
cost functions which lead to observed Nash equilibrium trajectories. The solution of this …

We consider the problem of computing parameters of player cost functionals such that given
state and control trajectories constitute an open-loop Nash equilibrium for a noncooperative …

This paper presents a novel sequential inverse optimal control (SIOC) method for discrete-
time systems, which calculates the unknown weight vectors of the cost function in real time …

One goal of artificial intelligence (AI) research is to teach machines how to learn from
humans, such that they can perform a certain task in a natural human-like way. In this article …

To enhance the collaborative intelligence of a machine, it is important for the machine to
understand what behavior a human may adopt to interact with the machine when performing …

This article studies the autonomous game control problem for spacecraft rendezvous by
using the adaptive perception and interaction. The rendezvous mission involves two …