Title :
An algorithm for model reduction of 2-D discrete time systems
Author :
Premaratne, Kamal ; Jury, E.I. ; Mansour, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
fDate :
9/1/1990 12:00:00 AM
Abstract :
In the context of model reduction of 2-D discrete time systems, several important properties of 2-D Gramians and balanced realizations are presented. Through a counterexample, the conjecture that the reduced model preserves stability is proven invalid. For separable systems, several interesting results regarding Gramians, norms, stability, and minimality are presented. For nonseparable systems, a simple, more efficient technique to compute Gramians is provided. The computation of Gramians in the separable case is possible through the solution of two pairs of discrete Lyapunov equations. An example is given to illustrate and justify the notions presented
Keywords :
Lyapunov methods; discrete time systems; multidimensional systems; stability; 2-D Gramians; 2-D discrete time systems; balanced realizations; discrete Lyapunov equations; minimality; model reduction; norms; stability; Computational efficiency; Digital filters; Discrete time systems; Equations; Magnetic separation; Microcomputers; Reduced order systems; Roundoff errors; Stability; State-space methods;
Journal_Title :
Circuits and Systems, IEEE Transactions on