Theoretical and algorithmic advances in multi-parametric programming and control Academic Article

abstract

• This paper presents an overview of recent theoretical and algorithmic advances, and applications in the areas of multi-parametric programming and explicit/multi-parametric model predictive control (mp-MPC). In multi-parametric programming, advances include areas such as nonlinear multi-parametric programming (mp-NLP), bi-level programming, dynamic programming and global optimization for multi-parametric mixed-integer linear programming problems (mp-MILPs). In multi-parametric/explicit MPC (mp-MPC), advances include areas such as robust multi-parametric control, multi-parametric nonlinear MPC (mp-NMPC) and model reduction in mp-MPC. A comprehensive framework for multi-parametric programming and control is also presented. Recent applications include a hydrogen storage device, a fuel cell power generation system, an unmanned autonomous vehicle (UAV) and a hybrid pressure swing adsorption (PSA) system. 2012 Springer-Verlag.

authors

• Pistikopoulos, Stratos

published proceedings

• COMPUTATIONAL MANAGEMENT SCIENCE

author list (cited authors)

• Pistikopoulos, E. N., Dominguez, L., Panos, C., Kouramas, K., & Chinchuluun, A.

citation count

• 26

publication date

• May 2012

publisher

• Springer Nature  Publisher

keywords

• Bi-level Programming
• Control
• Dynamic Programming
• Multi-parametric Programming

Digital Object Identifier (DOI)

• 10.1007/s10287-012-0144-4

start page

• 183

end page

• 203

volume

• 9

issue

• 2

URL

• http://dx.doi.org/10.1007/s10287-012-0144-4

user-defined tag

• 7 Affordable and Clean Energy