relation: http://eprints.imtlucca.it/527/
title: On hybrid model predictive control of sewer networks
creator: Ocampo-Martinez, Carlos
creator: Bemporad, Alberto
creator: Ingimundarson, Ari
creator: Cayuela, Vincenç Puig
subject: TJ Mechanical engineering and machinery
description: Real-time control (RTC) of sewer-network systems plays an important role in meeting increasingly restrictive environmental regulations to reduce release of untreated wastewater to the environment. This chapter presents the application of hybrid model predictive control (HMPC) on sewer systems. It is known from the literature that HMPC has a computational complexity growing exponentially with the size of the system to be controlled. However, the average solution time of modern mixed integer program (MIP) solvers is often much better than the predicted worst-case-solution time. The problem is to know when the worst-case computational complexity appears. In addition to presenting the application, a secondary aim of the chapter is to discuss the limits of applicability due to real-time constraints on computation time when HMPC is applied on large-scale systems such as sewer networks. By using a case study of a portion of the Barcelona sewer system, it is demonstrated how the computational complexity of HMPC appears for certain state and disturbance combinations. 
publisher: Springer-Verlag
contributor: Cayuela, , Vincenç Puig
contributor: Sánchez-Peña, Ricardo S.
contributor: Casín, Joseba Quevedo
date: 2007
type: Book Section
type: PeerReviewed
identifier:   Ocampo-Martinez, Carlos and Bemporad, Alberto and Ingimundarson, Ari and Cayuela, Vincenç Puig  On hybrid model predictive control of sewer networks.   In:  Identification and Control: The gap between theory & practice.   Springer-Verlag, pp. 87-114.  ISBN 978-1-84628-899-9      (2007)  
relation: http://www.springerlink.com/content/w1355h17x050445p/
relation: 10.1007/978-1-84628-899-9_4