Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.


Predictive control of constrained hybrid systems


A. Bemporad, M. Morari

Int. Symposium on Nonlinear Model Predictive Control, Ascona, Switzerland, pp. 108-127, Assessment and Future Directions

We propose a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as Mixed Logical Dynamical (MLD) systems. These are described by linear dynamic equations subject to linear inequalities involving real and integer variables. MLD systems include constrained linear systems, finite state machines, some classes of discrete event systems, and nonlinear systems which can be approximated by piecewise linear functions. A predictive control scheme is proposed which is able to stabilize MLD systems on desired reference trajectories while fulfilling operating constraints, and possibly take into account previous qualitative knowledge in the form of heuristic rules. Due to the presence of integer variables, the resulting on-line optimization procedures are solved through Mixed Integer Quadratic Programming (MIQP), for which efficient solvers have been recently developed. Some examples and a simulation case study on a complex gas supply system are reported.


Type of Publication:


File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { BemMor:1998:IFA_325,
    author={A. Bemporad and M. Morari},
    title={{Predictive control of constrained hybrid systems}},
    booktitle={Int. Symposium on Nonlinear Model Predictive Control},
    address={Ascona, Switzerland},
Permanent link