A Nash Game Approach to Mixed H2/H∞ Model Predictive Control: Part 3 – Output Feedback Case

In this paper, the state-feedback Nash game based mixed H 2 / H ∞ design [1, 2] has been extended for output feedback case. The algorithm is applied to control bioreactor system with a Laguerre-Wavelet Network (LWN) [3, 4] model of the bioreactor. This is achieved by using the LWN model as a deviati...

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Bibliographic Details
Published in:International journal of automation and computing 2018-10, Vol.15 (5), p.616-624
Main Authors: Aadaleesan, Pakkiriswamy, Saha, Prabirkumar
Format: Article
Language:English
Subjects:
CAE) and Design
Computer Applications
Computer-Aided Engineering (CAD
Control
Engineering
Mechatronics
Research Article
Robotics
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Summary:In this paper, the state-feedback Nash game based mixed H 2 / H ∞ design [1, 2] has been extended for output feedback case. The algorithm is applied to control bioreactor system with a Laguerre-Wavelet Network (LWN) [3, 4] model of the bioreactor. This is achieved by using the LWN model as a deviation model and by successively linearising the deviation model along the state trajectory. For reducing the approximation error and to improve the controller performance, symbolic derivation algorithm, viz., automatic differentiation is employed. A cautionary note is also given on the fragility of the output feedback mixed H 2 / H ∞ model predictive controller [4, 5] due to its sensitivity to its own parametric changes.
ISSN:1476-8186
1751-8520
DOI:10.1007/s11633-016-0969-3