Abstract
Abstract This paper takes advantage of the favorable asymptotic properties of ARX estimators to develop an integrated methodology for identification and controller design for multivariable plants. Specifically, the ARX estimate serves as a suitable intermediate model for the design and analysis of MIMO control systems. Decentralized, decoupled, and full multivariable control (via MPC) applied to MIMO problems are presented as case studies.
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