Optimal Nonlinear Estimation of Linear Stochastic Systems: The Multivariable Extension

Author:

Hopkins M. A.1,VanLandingham H. F.2

Affiliation:

1. Department of Electrical Engineering, Gleason Building, Rochester Institute of Technology, 1 Lomb Memorial Drive, Rochester, NY 14623

2. Virginia Polytechnic Institute and State University, Blacksburg, VA 24061

Abstract

This paper extends to multi-input multi-output (MIMO) systems a nonlinear method of simultaneous parameter and state estimation that appeared in the ASME JDSM&C (September, 1994), for single-input single-output (SISO) systems. The method is called pseudo-linear identification (PLID), and applies to stochastic linear time-invariant discrete-time systems. No assumptions are required about pole or zero locations; nor about relative degree, except that the system transfer functions must be strictly proper. In the earlier paper, proofs of optimality and convergence were given. Extensions of those proofs to the MIMO case are also given here.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

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