Abstract
This paper presents a new method to design a restricted structure controller driving a multivariable plant using subspace identification methods. The algorithm employs data collected from closed-loop operation to identify an open-loop model of the plant using subspace identification. The method also requires knowledge of the first N impulse responses from the controller. The multivariable controller parameters are calculated by minimising a finite horizon LQG criterion subject to nonlinear constraints. Three simulation case studies are presented.
Original language | English |
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Pages (from-to) | 745-770 |
Number of pages | 25 |
Journal | International Journal of Adaptive Control and Signal Processing |
Volume | 18 |
Issue number | 9 |
DOIs | |
Publication status | Published - 2004 |
Keywords
- subspace identification
- multivariable system
- restricted-structure
- tuning
- adaptive control
- control systems