Abstract Model predictive control is the family of controllers, makes the explicit use of model
to obtain control signal. The reason for its popularity in industry and academia is its …

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 thesis considers the stabilization and the robust stabilization of certain classes of hybrid
systems using model predictive control. Hybrid systems represent a broad class of …

In this paper, we present robust stability results for constrained discrete-time nonlinear
systems using a finite-horizon model predictive control (MPC) algorithm for which we do not …

This paper proposes a Model Predictive Control (MPC) algorithm for the solution of a robust
control problem for continuous-time systems. Discontinuous feedback strategies are allowed …

Multiagent systems arise in several domains of engineering. Examples include arrays of
mobile sensor networks for aggregate imagery, autonomous highways, and formations of …

Im Rahmen dieser Arbeit werden Antworten und Lösungen zu einigen offenen Fragen und
Probleme im Bereich der nichtlinearen prädiktiven Regelung gegeben. Unter anderem …

We present robust stabilization results for constrained, discrete-time, nonlinear systems
using a finite-horizon model predictive control (MPC) algorithm that does not require any …

This paper addresses the stability of a newly-developed control strategy for networked
control systems (NCS). This control strategy hones the potential of constrained model …

We consider the control of interacting subsystems whose dynamics and constraints are
uncoupled, but whose state vectors are coupled non-separably in a single centralized cost …