In this article, we develop a game theoretic model predictive controller (GTMPC) with
aggressiveness estimation to deal with the mandatory lane change (MLC) problem in …

Diverse passengers have various driving habits and driving preferences, thus the function of
personalized driving is one of the most important features for autonomous vehicles (AVs). In …

To address the driving conflicts of connected automated vehicles (CAVs) at unsignalized
roundabouts, a cooperative decision-making framework is proposed. The personalized …

Potential game is an emerging notion and framework for studying multi-agent games,
especially with heterogeneous agents. Up to date, potential games have been extensively …

Among the key technologies of Multi-Unmanned Aerial Vehicle (UAV) leader–follower
formation control, formation reconfiguration technology is an important element to ensure …

This study presents a multi-robot navigation strategy based on a multi-objective decision-
making algorithm, the Fuzzy Analytic Hierarchy Process (FAHP). FAHP analytically selects …

This paper presents a cooperative differential game theory approach to designing a
consensus-based formation control strategy for multi-UAVs (agents). The consensus-based …

This paper proposes and studies a general form of dynamic $ N $-player non-cooperative
games called $\alpha $-potential games, where the change of a player's value function upon …

This paper characterizes the class of non-cooperative finite-horizon general-sum potential
Linear Quadratic (LQ) games. We show that a general LQ game with full-state feedback is …

The formation control of a team of agents has been addressed by methodologies that bring
together systems, graph, and game theories. In contrast to most methodologies based on …