Title :
Algebraically Defined Gramians for Nonlinear Systems
Author :
Gray, W. Steven ; Verriest, Erik I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA
Abstract :
In this paper, controllability and observability Gramian definitions central to the model reduction method for bilinear state space systems due to Al-Baiyat, et al. are extended to the nonlinear affine control case. While in general these algebraically defined Gramians lack a direct physical interpretation, their numerical tractability is superior to the established general nonlinear Gramian generalizations known as the energy functions. The latter can only be determined at present by either solving a pair of Hamilton-Jacobi-Bellman equations or by Monte-Carlo simulation. Connections between the algebraic Gramians developed here and existing nonlinear Gramian generalizations are presented. A connection to approximation theory for nonlinear operators is also described. Cascade lemma for set-stable systems
Keywords :
controllability; matrix algebra; nonlinear control systems; observability; Hamilton-Jacobi-Bellman equations; Monte Carlo simulation; algebraically defined Gramians; approximation theory; bilinear state space systems; controllability Gramian definition; energy functions; model reduction method; nonlinear Gramian generalizations; nonlinear affine control; nonlinear systems; numerical tractability; observability Gramian definition; Approximation methods; Centralized control; Controllability; Differential equations; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Observability; Reduced order systems; State-space methods;
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
DOI :
10.1109/CDC.2006.376840