Design of robust model-based controllers via parametric programming Academic Article

abstract

• In this paper a method is presented for deriving the explicit robust model-based optimal control law for constrained linear dynamic systems. The controller is derived off-line via parametric programming before any actual process implementation takes place. The proposed control scheme guarantees feasible operation in the presence of bounded input uncertainties by (i) explicitly incorporating in the controller design stage a set of feasibility constraints and (ii) minimizing the nominal performance, or the expectation of the performance over the uncertainty space. An extension of the method to problems involving target point tracking in the presence of persistent disturbances is also discussed. The general concept is illustrated with two examples. 2003 Elsevier Ltd. All rights reserved.

authors

• Pistikopoulos, Stratos

published proceedings

• AUTOMATICA

author list (cited authors)

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

citation count

• 99

complete list of authors

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

publication date

• February 2004

publisher

• Elsevier  Publisher

published in

• Automatica  Journal

keywords

• Feasibility Analysis
• Model-based Control
• Parametric Programming
• ROBUST CONTROL

Digital Object Identifier (DOI)

• 10.1016/j.automatica.2003.08.011

start page

• 189

end page

• 201

volume

• 40

issue

• 2

URL

• http://dx.doi.org/10.1016/j.automatica.2003.08.011