1. Tensor methods for MIMO decoupling and control design using frequency response functions
- Author
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Julien Ertveldt, Tom Oomen, Julian Stoev, Johan Schoukens, Electricity, Faculty of Engineering, Applied Mechanics, Thermodynamics and Fluid Mechanics Group, and Control Systems Technology
- Subjects
0209 industrial biotechnology ,Engineering ,Frequency response ,Identification ,MIMO ,Hinge ,010103 numerical & computational mathematics ,02 engineering and technology ,01 natural sciences ,020901 industrial engineering & automation ,Control theory ,Tensor decomposition ,0101 mathematics ,Electrical and Electronic Engineering ,Noisy data ,business.industry ,Mechanical Engineering ,Experimental data ,Control engineering ,Decentralised system ,Computer Science Applications ,Tensor ,Control and Systems Engineering ,business ,Decoupling (electronics) - Abstract
Decentralized control design is commonly applied to design controllers for multi-variable control applications. The success of decentralized control design methodologies hinges on the quality of decoupling of the system. The aim of this paper is to develop a decoupling procedure that applies to multi-variable systems and only requires a frequency response function of the system. The proposed method builds on recent tensor decomposition methods. The potential of the method is shown both in a simulation and using experimental data. When applied on noisy data and on real-life systems, which are not possible to be exactly decoupled, the proposed method typically performs better compared to eigen-decomposition based method.
- Published
- 2017
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