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Order Reduction of Plant and Controller in Closed Loop Identification based on Joint Input-Output Approach

Atsushi Fujimori* and Shinsuke Ohara
International Journal of Control, Automation, and Systems, vol. 15, no. 3, pp.1217-1226, 2017

Abstract : "This paper presents the order reduction for plant and controller models estimated by the joint input-output approach in the closed loop identification, named the controllability or observability intensity truncation (COIT) method in which the index for order reduction is the controllability intensity or the observability intensity. The use of these intensities depends on the estimated models obtained by the joint input-output approach. In the application of the closed loop identification with the balanced truncation (BT) and the COIT methods; a numerical example and an inverted pendulum experimental system, the COIT method appropriately reduces the order of the estimated plant and controller models and is superior to the BT method."

Keyword : "Closed loop identification, joint input-output approach, order reduction, subspace identification, system identification."

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