Towards the design of parametric model predictive controllers for non-linear constrained systems Academic Article

abstract

• The benefits of parametric programming for the design of optimal controllers for constrained systems are widely acknowledged, especially for the case of linear systems. In this work we attempt to exploit these benefits and further extend the theoretical contributions to multi-parametric Model Predictive Control (mp-MPC) for non-linear systems with state and input constraints. The aim is to provide an insight and understanding of multi-parametric control and its benefits for non-linear systems and outline key issues for ongoing research work. 2007 Springer-Verlag Berlin Heidelberg.

authors

• Pistikopoulos, Stratos

published proceedings

• ASSESSMENT AND FUTURE DIRECTIONS OF NONLINEAR MODEL PREDICTIVE CONTROL

author list (cited authors)

• Sakizlis, V., Kouramas, K. I., Faisca, N. P., & Pistikopoulos, E. N.

citation count

• 10

complete list of authors

• Sakizlis, V||Kouramas, KI||Faisca, NP||Pistikopoulos, EN

publication date

• January 2007

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Control and Information Sciences  Journal

Digital Object Identifier (DOI)

• 10.1007/978-3-540-72699-9_15

start page

• 193

end page

• +

volume

• 358

issue

• 1

URL

• http://dx.doi.org/10.1007/978-3-540-72699-9_15