Title :
A structure preserving minimal representation of a nonlinear port-Hamiltonian system
Author :
Scherpen, Jacquelien M A ; Van Der Schaft, Arjan J.
Author_Institution :
Ind. Technol. & Manage., Fac. Math. & Natural Sci., Univ. of Groningen, Netherlands
Abstract :
In this paper an approach to reduce nonlinear non-observable and non-strongly accessible port-Hamiltonian systems to an observable and strongly accessible port-Hamiltonian system, respectively, is treated. A local state decomposition (the nonlinear version of the Kalman decomposition) is instrumental for the approach that preserves the port-Hamiltonian structure. The strongly accessible reduction scheme goes along similar lines as the linear scheme. However, the observable reduction scheme is somewhat more involved. Under some additional assumptions, the reduction can be performed along the lines of the linear scheme. If these assumptions are not fulfilled, a reduction scheme for a zero-observable representation using duality in the co-energy coordinates is developed. Finally, the possibilities to apply the approaches of this paper to approximate order reduction by e.g., use of balancing procedures, is discussed.
Keywords :
approximation theory; linear systems; nonlinear control systems; observability; reduced order systems; state-space methods; Kalman decomposition; approximate reduced order model; co-energy coordinate duality; linear scheme; local state decomposition; observable reduction scheme; observable strongly-accessible nonlinear port-Hamiltonian system; structure-preserving minimal state-space representation; zero-observable representation; Control systems; Controllability; Electrical equipment industry; Kalman filters; Linear systems; Matrix decomposition; Nonlinear control systems; Observability; Reduced order systems; Technology management;
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2008.4739266