The explicit control law for hybrid systems via parametric programming Conference Paper

abstract

• In this paper an algorithm is presented for the derivation of the explicit optimal control policy for linear dynamical systems that also involve (i) logical decisions and (ii) constraints on process inputs and outputs. The control actions are usually computed by solving at regular time intervals an on-line optimization problem based on a set of measurements that specify the current process state. The approach presented in this paper derives the optimal control law off-line as a function of the state of the process, thus eliminating the repetitive solution of on-line optimization problems. Hence, the on-line implementation is reduced to a sequence of simple function evaluations. The key advantageous features of the algorithm are demonstrated via an illustrative example.

name of conference

• Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)

authors

• Pistikopoulos, Stratos

published proceedings

• PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6

author list (cited authors)

• Sakizlis, V., Dua, V., Perkins, J. D., & Pistikopoulos, E. N.

citation count

• 24

complete list of authors

• Sakizlis, V||Dua, V||Perkins, JD||Pistikopoulos, EN

publication date

• January 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... American Control Conference. American Control Conference  Journal

keywords

• Constraint Control
• Hybrid
• Mixed Integer Optimization
• Model Predictive Control
• Parametric Programming

Digital Object Identifier (DOI)

• 10.1109/ACC.2002.1024888

International Standard Book Number (ISBN) 10

• 0-7803-7298-0

start page

• 674

end page

• 679

volume

• 1-6

URL

• http://dx.doi.org/10.1109/acc.2002.1024888