Real-time implementation of optimisation-based control and trajectory planning can be very
challenging for nonlinear systems. As a result, if an implementation based on a fixed …

The reliable and effective automation of biomedical therapies is the need of the hour for
medical professionals. A model predictive controller (MPC) has the ability to handle complex …

This paper proposes risk-informed decision-making and control methods for autonomous
vehicles (AVs) under severe driving conditions, where many vehicle interactions occur on …

This paper presents a solution to on-board trajectory tracking control of quadrotors. The
proposed approach combines the standard hierarchical control paradigm that separates the …

In this paper, we propose an autonomous emergency steering (AES) control strategy for the
automated vehicle to avoid collisions with obstacles while maintaining the vehicle's yaw …

The use of model predictive control for quadro-tor applications requires balancing trajectory
tracking performance and constraint satisfaction with fast computation. This paper proposes …

Introduction The functions of the DiaSter system are realized by means of specialized user
packages. These packages cooperate by means of the system software platform. Particular …

This paper focuses on the controller design for heating, ventilating and air conditioning
systems. The proposed model based design technique relies on the method of feedback …

This brief proposes a novel solution to the trajectory tracking control problem for input-
constrained differential-drive robots. In particular, we develop a robust set-based receding …

In this paper, we investigate the application of Feedback Linearization Model Predictive
Control (FLMPC) for the eddy current de-tumbling of space tumbling targets. Based on the …