Constrained model predictive control: Stability and optimality
Model predictive control is a form of control in which the current control action is obtained by
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …
solving, at each sampling instant, a finite horizon open-loop optimal control problem, using …
Nonlinear predictive control and moving horizon estimation—an introductory overview
In the past decade model predictive control (MPC) has become a preferred control strategy
for a large number of processes. The main reasons for this preference include the ability to …
for a large number of processes. The main reasons for this preference include the ability to …
Experimental analysis of model predictive control for an energy efficient building heating system
Low energy buildings have attracted lots of attention in recent years. Most of the research is
focused on the building construction or alternative energy sources. In contrary, this paper …
focused on the building construction or alternative energy sources. In contrary, this paper …
Dynamic right-sizing for power-proportional data centers
Power consumption imposes a significant cost for data centers implementing cloud services,
yet much of that power is used to maintain excess service capacity during periods of low …
yet much of that power is used to maintain excess service capacity during periods of low …
Robust model predictive control: A survey
A Bemporad, M Morari - Robustness in identification and control, 2007 - Springer
This paper gives an overview of robustness in Model Predictive Control (MPC). After
reviewing the basic concepts of MPC, we survey the uncertainty descriptions considered in …
reviewing the basic concepts of MPC, we survey the uncertainty descriptions considered in …
Robust receding horizon control of constrained nonlinear systems
H Michalska, DQ Mayne - IEEE transactions on automatic …, 1993 - ieeexplore.ieee.org
We present a method for the construction of a robust dual-mode, receding horizon controller
which can be employed for a wide class of nonlinear systems with state and control …
which can be employed for a wide class of nonlinear systems with state and control …
Constrained state estimation for nonlinear discrete-time systems: Stability and moving horizon approximations
State estimator design for a nonlinear discrete-time system is a challenging problem, further
complicated when additional physical insight is available in the form of inequality constraints …
complicated when additional physical insight is available in the form of inequality constraints …
Model predictive control of a building heating system: The first experience
This paper presents model predictive controller (MPC) applied to the temperature control of
real building. Conventional control strategies of a building heating system such as weather …
real building. Conventional control strategies of a building heating system such as weather …
Receding horizon control of nonlinear systems
DQ Mayne, H Michalska - … of the 27th IEEE Conference on …, 1988 - ieeexplore.ieee.org
The receding-horizon control strategy provides a relatively simple method for determining
feedback control for linear or nonlinear systems: the method is especially useful for the …
feedback control for linear or nonlinear systems: the method is especially useful for the …
The stability of constrained receding horizon control
JB Rawlings, KR Muske - IEEE transactions on automatic …, 1993 - ieeexplore.ieee.org
An infinite horizon controller that allows incorporation of input and state constraints in a
receding horizon feedback strategy is developed. For both stable and unstable linear plants …
receding horizon feedback strategy is developed. For both stable and unstable linear plants …