Hybrid System Identification for MIMO Control-System Design

Abstract

Herein a method of hybrid frequency domain and state space system identification is developed, tested and implemented. A frequency domain least squares system identification algorithm, along with a coherence function technique for eliminating noisy data is used to sequentially develop discrete single-input, multiple-output (SIMO) transfer function models between each input and the outputs. From the transfer function models, difference equations are obtained. Using the difference equations, discrete impulse responses between each input and each output are computed. These impulse responses are then processed by a state space system identification technique to create a minimum order state space multiple-input, multiple-output (MIMO) model. This process is illustrated on a controls-structures interaction platform called Flexlab.