Title :
Reduction of the small gain condition
Author :
Dashkovskiy, Sergey ; Kosmykov, Michael
Author_Institution :
Univ. of Appl. Sci. Erfurt, Erfurt, Germany
Abstract :
The small gain condition is sufficient for ISS of interconnected systems. However, verification of the small gain condition requires large amount of computations in the case of a large size of the system. To facilitate this procedure we aggregate the subsystems and the gains between the subsystems that belong to certain interconnection patterns using three heuristic rules of aggregation. These rules keep the main structure of the mutual influences between the subsystems in the network. Furthermore, fulfillment of the reduced small gain condition implies ISS of the large network. Such reduction allows to decrease the number of computations needed to verify the small gain condition. An ISS-Lyapunov function for the large network can be constructed using the reduced small gain condition.
Keywords :
Lyapunov methods; interconnected systems; stability; ISS-Lyapunov function; aggregation heuristic rules; gain aggregation; input-to-state stable; interconnected systems; interconnection patterns; small gain condition reduction; subsystem aggregation; Aggregates; Educational institutions; Interconnected systems; Linear matrix inequalities; Lyapunov methods; Periodic structures; Reduced order systems;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426769