Move blocking strategies in receding horizon control
نویسندگان
چکیده
منابع مشابه
On shrinking horizon move-blocking predictive control
Our theoretical developments are motivated by a real-world application under study in collaboration with a rail transport manufacturer, pertaining to the energy efficient operation of trains. Consider an electric train controlled by a digital control unit in discrete time, with sampling period Ts. Let us denote with k ∈Z the discrete time variable, with x(k) = [x1(k), x2(k)] the state of the tr...
متن کاملReceding Horizon Networked Control
This paper deals with the design of control systems over lossy networks. A network is assumed to exist between the sensor and the controller and between the latter and the actuator. Packets are dropped according to a Bernoulli independent process, with γ and μ being the probabilities of losing an observation packet and a control packet respectively, at time any instant t. A receding horizon con...
متن کاملReceding Horizon Control of HIV
This paper describes a model of the immunologic response of the human immunodeficiency virus (HIV) in individuals. It then illustrates how a Receding Horizon Control (RHC) methodology can be used to drive the system to a stable equilibrium in which a strong immune response controls the viral load in the absence of drug treatment. We also illustrate how this feedback methodology can overcome unp...
متن کاملOptimal move blocking strategies for model predictive control
This paper presents a systematic methodology for designing move blocking strategies to reduce the complexity of a model predictive controller for linear systems, with explicit optimisation of the blocking structure using mixed-integer programming. Given amove-blocked predictive controller with a terminal invariant set constraint for stability, combinedwith an input parameterisation to preserve ...
متن کاملReceding horizon control for polymerization processes
Receding horizon control is used to maximize the productivity of emulsion polymerization processes. The control strategy is adapted for controlling multivariable systems. Two process inputs, the monomer flow rate and the reactor temperature, were manipulated in order to optimize process productivity. The controller performance was validated in the presence of modeling errors. c © 2007 Elsevier ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Process Control
سال: 2007
ISSN: 0959-1524
DOI: 10.1016/j.jprocont.2007.01.001