Distributed model predictive control: A tutorial review and future research directions
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 …
predictive control systems. Our goal is to not only conceptually review the results in this area …
Robustness and robust design of MPC for nonlinear discrete-time systems
L Magni, R Scattolini - Assessment and future directions of nonlinear …, 2007 - Springer
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 …
attention has been paid to its robustness characteristics, either by examining the robustness …
Nonlinear model predictive control of robotic systems with control lyapunov functions
The theoretical unification of Nonlinear Model Predictive Control (NMPC) with Control
Lyapunov Functions (CLFs) provides a framework for achieving optimal control performance …
Lyapunov Functions (CLFs) provides a framework for achieving optimal control performance …
3 sampled-data control of nonlinear systems
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 …
sampled-data control of nonlinear systems. We have tried to bring the basic parts of the new …
Practical NMPC suboptimality estimates along trajectories
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 …
receding horizon schemes with respect to infinite horizon optimal control. The proposed a …
Switched model predictive control for performance enhancement
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 …
discrete time systems where the weights on the state and control variables in the cost …
[PDF][PDF] HIV dynamics: Analysis and robust multirate MPC-based treatment schedules
Analysis and control of human immunodeficiency virus (HIV) infection have attractedthe
interests of mathematicians and control engineers during the recent years. In thispaper we …
interests of mathematicians and control engineers during the recent years. In thispaper we …
Robust model predictive control for constrained networked nonlinear systems: An approximation-based approach
In this paper, a robust approximation-based model predictive control (RAMPC) scheme for
the constrained networked control systems (NCSs) subject to external disturbances is …
the constrained networked control systems (NCSs) subject to external disturbances is …
Piecewise constant model predictive control for autonomous helicopters
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 …
The framework contains a high-level model predictive control (MPC) and a low-level linear …
Hepatitis B virus dynamics: modeling, analysis, and optimal treatment scheduling
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 …
interests of mathematicians during the recent years. Several mathematical models exist and …