Modeling Hybrid Systems with MLD Approach and Analysis of the Model Size and Complexity
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33123
Modeling Hybrid Systems with MLD Approach and Analysis of the Model Size and Complexity

Authors: H. Mahboubi, B. Moshiri, A. Khaki Seddigh

Abstract:

Recently, a great amount of interest has been shown in the field of modeling and controlling hybrid systems. One of the efficient and common methods in this area utilizes the mixed logicaldynamical (MLD) systems in the modeling. In this method, the system constraints are transformed into mixed-integer inequalities by defining some logic statements. In this paper, a system containing three tanks is modeled as a nonlinear switched system by using the MLD framework. Comparing the model size of the three-tank system with that of a two-tank system, it is deduced that the number of binary variables, the size of the system and its complexity tremendously increases with the number of tanks, which makes the control of the system more difficult. Therefore, methods should be found which result in fewer mixed-integer inequalities.

Keywords: Hybrid systems, mixed-integer inequalities, mixed logical dynamical systems, multi-tank system.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329004

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1765

References:


[1] A. Bemporad and M. Morari, "Control of systems integrating logic, dynamic and constraints," Automatica, vol. 35, no. 3, Mar. 1999, pp. 407-427.
[2] W. P. M. H. Heemels, J. M. Schumacher, "Linear Complementarity systems," SIAM J. Appl. Math., vol. 60, no. 4, pp. 1234-1269,2000.
[3] B. D. Schutter and T. van den Boom, "Model predictive control for maxplus- linear discrete event systems," Automatica, vol. 37, no. 7, pp. 1049- 1056, 2001.
[4] E. D. Sontag, "Nonlinear regulation: the piecewise linear approach," IEEE Trans. Automat. Contr., 26(2), pp. 346-358, Apr.1981.
[5] B. De Schutter and B. De Moor," The extended linear complementarity problem and the modeling and analysis of hybrid systems," in Haybrid Systems V, P. Antsaklis, W.Kohn, M. Lemmon, A. Nerode, and S. Sastry, Eds. New York: Spring- verlag, vol. 1567, Lecture Notes in Computer Science, pp. 70-85,1999.
[6] W. P. Maurice H. Heemles and Bart De Schutter and Alberto Bemporad, "Equivalence of hybrid dynamical models," Automatica, vol. 37, no. 7, pp. 1085-1091, July 2001.
[7] Domenico Mignone "Control and Estimation of Hybrid Systems with mathematical Optimization", PhD Thesis, Swiss Federal Institute of Technology, Zurich, 2002.
[8] O. Stursberg and S. Engell, "Optimal Control of Switched Continues Systems using Mixed-Integer Programing," in Proc. 42nd IEEE Conference on Decision and Control, Hawaii USA, 2003, pp. 640-645.
[9] J. Till, S. Engell, S. Panek and Olaf Stursberg , "Applied hybrid system optimization: an empirical investigation of complexity," Control Engineering Practice, vol. 12, pp. 1291-1303,2004.
[10] M. Morari, Mato Baotic and Francesco Borrelli, "Hybrid system modeling and control," Europian Journal of Control, 2003.
[11] http://www.AMPL.com
[12] J. Habibi, B. Moshiri and A. Khaki Seddigh, "Hybrid Modeling and Predictive Control of a Multi-Tank System: A Mixed Logical Dynamical Approach" in Proc. IAWTIC-2005, Vienna Austria, 2005.