Title :
Hybrid Modeling and Predictive Control of a Multi-Tank System: A Mixed Logical Dynamical Approach
Author :
Habibi, Jalal ; Moshiri, Behzad ; Sedigh, Ali Khaki
Author_Institution :
ECE Dept., Tehran Univ.
Abstract :
Mixed logical dynamical (MLD) modeling appears as an effective and realistic approach in modeling and control of hybrid systems. In this modeling approach, dynamical and logical constraints as well as control system design specifications are transformed into so-called mixed-integer inequalities. In this paper, the MLD framework is used for modeling of a multi-tank system as a switched nonlinear system. Control of fluid levels in multiple tanks is considered as a case study for predictive control of MLD systems. Translation of control problem specifications into mixed-integer inequalities shows the ability of MLD framework to deal with complex modeling and optimization tasks
Keywords :
control system synthesis; integer programming; nonlinear control systems; predictive control; control system design specification; mixed logical dynamical modeling; mixed-integer inequalities; multitank system; predictive control; switched nonlinear system; Automata; Control system synthesis; Control systems; Intelligent control; Logic; Nonlinear systems; Power system modeling; Predictive control; Predictive models; Process control;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631600