In this paper, we provide a tutorial review of recent results in the design of distributed model
predictive control systems. Our goal is to not only conceptually review the results in this area …

In view of the widespread success of Model Predictive Control (MPC), in recent years
attention has been paid to its robustness characteristics, either by examining the robustness …

The theoretical unification of Nonlinear Model Predictive Control (NMPC) with Control
Lyapunov Functions (CLFs) provides a framework for achieving optimal control performance …

This chapter provides some of the main ideas resulting from recent developments in
sampled-data control of nonlinear systems. We have tried to bring the basic parts of the new …

In this paper we develop and illustrate methods for estimating the degree of suboptimality of
receding horizon schemes with respect to infinite horizon optimal control. The proposed a …

This article presents a switched model predictive control (MPC) algorithm for non-linear
discrete time systems where the weights on the state and control variables in the cost …

Analysis and control of human immunodeficiency virus (HIV) infection have attractedthe
interests of mathematicians and control engineers during the recent years. In thispaper we …

In this paper, a robust approximation-based model predictive control (RAMPC) scheme for
the constrained networked control systems (NCSs) subject to external disturbances is …

This paper introduces an optimisation based control framework for autonomous helicopters.
The framework contains a high-level model predictive control (MPC) and a low-level linear …

Modeling, analysis, and control of hepatitis B virus (HBV) infection have attracted the
interests of mathematicians during the recent years. Several mathematical models exist and …