Research on uncertainty-oriented optimal attitude control of spacecraft with complex space
environments and multisource uncertainties is a research hotspot. Considering that the …

To address the safety and efficiency issues of vehicles at multi-lane merging zones, a
cooperative decision-making framework is designed for connected automated vehicles …

To improve the safety and efficiency of the intelligent transportation system, particularly in
complex urban scenarios, in this paper a game theoretic decision-making framework is …

In the context of autonomous driving, the iterative linear quadratic regulator (iLQR) is known
to be an efficient approach to deal with the nonlinear vehicle model in motion planning …

Continued great efforts have been dedicated toward high-quality trajectory generation
based on optimization methods; however, most of them do not suitably and effectively …

To address the coordination issue of connected automated vehicles (CAVs) at urban
scenarios, a game-theoretic decision-making framework is proposed that can advance …

This paper investigates the cooperative planning and control problem for multiple connected
autonomous vehicles (CAVs) in different scenarios. In the existing literature, most of the …

To further advance the performance and safety of autonomous mobile robots (AMRs), an
integrated chassis control framework is proposed. In the longitudinal motion control module …

Magnetic levitation positioning technology has attracted considerable research efforts and
dedicated attention due to its extremely attractive features. The technology offers high …

This paper investigates the multi-agent collision-free control problem for medium and large
scale systems. For such multi-agent systems, it is the typical situation where conventional …