TY - CHAP AU - Lin, Yiqing AU - Fedchenia, Igor AU - LaBarre, Bob AU - Tomastik, Robert ED - Klingsch, Wolfram W F ED - Rogsch, Christian ED - Schadschneider, Andreas ED - Schreckenberg, Michael TI - Agent-based simulation of evacuation: An office building case study T2 - Pedestrian and evacuation dynamics 2008 PB - Springer Netherlands CY - Berlin SN - 3642045030 PB - Springer Netherlands PY - 2010 SP - 347 EP - 357 PG - 11 DO - 10.1007/978-3-642-04504-2_30 UR - https://m2.mtmt.hu/api/publication/24790400 ID - 24790400 LA - English DB - MTMT ER - TY - CHAP AU - Varigonda, S AU - Kalmár-Nagy, Tamás AU - LaBarre, B AU - Mezic, I TI - Graph decomposition methods for uncertainty propagation in complex, nonlinear interconnected dynamical systems T2 - 2004 43rd IEEE Conference on Decision and Control (CDC) PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway (NJ) SN - 0780386825 T3 - Proceedings of the IEEE Conference on Decision and Control, ISSN 0191-2216 ; 3. PY - 2004 SP - 1794 EP - 1798 PG - 5 DO - 10.1109/CDC.2004.1430306 UR - https://m2.mtmt.hu/api/publication/2836282 ID - 2836282 N1 - United Technologies Research Center, East Hartford, CT 06108, United States Department of Mechanical Engineering, University of California, Santa Barbara, United States Cited By :11 Export Date: 13 August 2024 CODEN: PCDCD Correspondence Address: Varigonda, S.; United Technologies Research Center, East Hartford, CT 06108, United States AB - Uncertainty propagation in complex, interconnected dynamical systems can be performed more efficiently by decomposing the network based on the hierarchy and/or the strength of coupling. In this paper, we first present a structural decomposition method that identifies the hierarchy of subsystems. We briefly review the notion of horizontal-vertical decomposition (HVD) or strongly connected components (SCC) decomposition of a dynamical system and describe algorithms based on Markov chain theory and graph theory to obtain the HVD from the equation graph of the system. We also present a non-structural decomposition method to identify the weakly connected subsystems of a system based on the Laplacian of a graph derived from the Jacobian. While most of prior efforts in this direction concentrated on stability, robustness and concrete results were limited to linear systems, we use it for uncertainty propagation and study of asymptotic behavior of nonlinear interconnected systems. We illustrate the two methods using a fuel cell system example. These two methods provide a framework for efficient propagation of uncertainty in complex nonlinear systems. LA - English DB - MTMT ER - TY - CHAP AU - Varigonda, Subbarao TI - An iterative method for propagation of probability distributions in feedback systems T2 - 2004 43rd IEEE Conference on Decision and Control (CDC) PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway (NJ) SN - 0780386825 T3 - Proceedings of the IEEE Conference on Decision and Control, ISSN 0191-2216 ; 3. PB - Institute of Electrical and Electronics Engineers (IEEE) PY - 2004 SP - 1803 EP - 1805 PG - 3 DO - 10.1109/CDC.2004.1430308 UR - https://m2.mtmt.hu/api/publication/24790711 ID - 24790711 N1 - Export Date: 13 August 2024 CODEN: PCDCD Correspondence Address: Varigonda, S.; United Technologies Research Center, East Hartford, CT 06108, United States LA - English DB - MTMT ER -