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Variable time delays exist between the driver's inputs and the responses of the vehicle
dynamic states during a critical steering course. And due to the delay of active brake …

We propose a utopia-tracking strategy to handle multiple conflicting objectives in model
predictive control. The controller minimizes the distance of its vector of objectives to that of …

This paper proposes a novel model predictive control (MPC) scheme based on
multiobjective optimization. At each sampling time, the MPC control action is chosen among …

This article presents a novel integrated path-following, crash avoidance, and crash
mitigation control algorithm for autonomous vehicles. To improve stability and tracking …

This paper presents a Model Predictive Control (MPC) based autopilot for a fixed-wing
Unmanned Aircraft Vehicle (UAV) for meteorological data sampling tasks, named …

Efficient path tracking plays a key role in the overall ride experience of Autonomous Vehicles
(AVs). Model Predictive Control (MPC) is one of the most competent techniques which is …

This paper proposes a new multiobjective model predictive control (MO-MPC) of constrained
nonlinear systems. According to objective prioritization, the MO-MPC problem is formulated …

Controlling highly uncertain nonlinear systems is in general a quite difficult task, for which
Sliding Mode (SM) control has proved to be an effective option. This brief proposes a SM …

In this paper, we propose a novel switched model predictive control (MPC) algorithm for
nonlinear continuous-time systems, where we switch between different cost functionals in …