A dynamic programming based approach for explicit model predictive control of hybrid systems Academic Article

abstract

• 2014 Elsevier Ltd. This work presents an algorithm for explicit model predictive control of hybrid systems based on recent developments in constrained dynamic programming and multi-parametric programming. By using the proposed approach, suitable for problems with linear cost function, the original model predictive control formulation is disassembled into a set of smaller problems, which can be efficiently solved using multi-parametric mixed-integer programming algorithms. It is also shown how the methodology is applied in the context of explicit robust model predictive control of hybrid systems, where model uncertainty is taken into account. The proposed developments are demonstrated through a numerical example where the methodology is applied to the optimal control of a piece-wise affine system with linear cost function.

authors

• Pistikopoulos, Stratos

published proceedings

• COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

• Rivotti, P., & Pistikopoulos, E. N.

citation count

• 25

complete list of authors

• Rivotti, Pedro||Pistikopoulos, Efstratios N

publication date

• January 2015

publisher

• Elsevier  Publisher

published in

• Computers and Chemical Engineering  Journal

keywords

• Dynamic Programming
• Hybrid Systems
• Model Predictive Control
• Multi-parametric Programming
• Robust Model Predictive Control

Digital Object Identifier (DOI)

• 10.1016/j.compchemeng.2014.06.003

start page

• 126

end page

• 144

volume

• 72

URL

• http://dx.doi.org/10.1016/j.compchemeng.2014.06.003