Title :
A nonlinear synchronization scheme for polynomial systems
Author :
Kim, Jung-Su ; Allgower, Frank
Author_Institution :
Univ. of Stuttgart, Stuttgart
Abstract :
Synchronization phenomena among multiple subsystems have been studied in various publications using many kinds of models for a long time. This is because many subsystems are required to behave synchronously or cooperatively in many areas. For example, networks of (electro-)mechanical systems, coupled neurons, and cooperating robots. This paper presents a feedback scheme for synchronization among multiple subsystems in polynomial form using a dissipation inequality and sum of squares tools. First, we show that the problem is the same as finding an asymptotically stabilizing control for polynomial systems. Then, it is discussed how to use the stabilizing control for synchronization. The proposed scheme can be applied to several kinds of models which are in polynomial form and commonly used for synchronization research in the literature, and overcomes several drawbacks in the previous results.
Keywords :
asymptotic stability; nonlinear control systems; polynomials; synchronisation; asymptotically stabilizing control; dissipation inequality; electromechanical systems; nonlinear synchronization scheme; polynomial systems; Cities and towns; Control systems; Feedback; Neurofeedback; Neurons; Neuroscience; Nonlinear control systems; Polynomials; Robot kinematics; Software tools;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282806