Abstract Model predictive control is widely used in the design of autonomous driving
algorithms. However, its parameters are sensitive to dynamically varying driving conditions …

This letter studies the trajectory tracking and motion control problems of unmanned ground
vehicles (UGVs). A model predictive control and robust control (MPC-RC) framework for …

Safety-critical systems (SCSs) mitigate the risk of catastrophic loss of assets and hence do
have high dependability targets. Performance and reliability are the critical dependability …

Nonholonomic models of automobiles are developed by utilizing tools of analytical
mechanics, in particular the Appellian approach that allows one to describe the vehicle …

Ensuring adaptive safe control performance in the persistence of uncertainties poses great
challenges for safety-critical autonomous vehicle control systems. This paper investigates …

A ski-stunt maneuver is a type of aggressive vehicle motions in which a four-wheel vehicle
runs on two wheels on one side, and the other two wheels are lifted in the air. It is a …

This paper addresses the challenge of integrating explicit hard constraints into the control
barrier function (CBF) framework for ensuring safety in autonomous systems, including …

This paper investigates the problem of safety-critical multi-tasks control (SCMTC) for
switched systems, where the multi-tasks control is achieved by ensuring the invariance and …

This brief concerns with the tracking control problem for time-varying input-output
linearizable systems with output constraints under only measurable output signals. To …

This paper proposes a risk-aware control approach to enforce safety for discrete-time
nonlinear systems subject to stochastic uncertainties. We derive some useful results on the …