Guidance and control (G&C) technologies play a central role in the development and
operation of vehicular systems. The emergence of computational guidance and control …

Considering personalized driving preferences, a new decision-making framework is
developed using a differential game approach to resolve the driving conflicts of autonomous …

In the area of autonomous driving, it typically brings great difficulty in solving the motion
planning problem since the vehicle model is nonlinear and the driving scenarios are …

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic
flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data …

Trajectory planning is one of the indispensable and critical components in robotics and
autonomous systems. As an efficient indirect method to deal with the nonlinear system …

Cooperative trajectory planning of connected autonomous vehicles (CAVs) generally admits
strong nonlinearity and non-convexity, rendering great difficulties in finding the optimal …

Autonomous Vehicles have become the focus of research around the world. Meanwhile, the
continuous development of various emerging technologies in recent years has paved the …

By coordinating terminal smart devices or microprocessors to engage in cooperative
computation to achieve systemlevel targets, distributed optimization is incrementally favored …

This article proposes two decentralized multiagent optimal control methods that combine the
computational efficiency and scalability of differential dynamic programming (DDP) and the …

This article investigates the trajectory tracking problem of underactuated mechanical
systems (UMSs) with companion nonholonomic servo constraints and uncertainties. For …