Volume 9, Issue 2 (Journal of Control, V.9, N.2 Summer 2015)                   JoC 2015, 9(2): 13-23 | Back to browse issues page

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nouri manzar M, khaki sedigh A. Multi-Model Unfalsified Predictive Supervisory Control. JoC. 2015; 9 (2) :13-23
URL: http://joc.kntu.ac.ir/article-1-253-en.html
1- k n toosi univ of technology
Abstract:   (6900 Views)

Unfalsified Adaptive Control (UAC) is a recently proposed robust adaptive control strategy. In this paper, the UAC principles and algorithms are reviewed and Multi-Model UAC is followed as an intermediate between UAC and multiple model control. Different approaches in UAC and MMUAC are studied. Also, Multi-Model Unfalsified Generalized Predictive control (MMUGPC) is proposed, which is a new control design strategy in the UAC framework. For an uncertain system, by utilizing several generalized predictive controllers and discrete switching between them with unfalsified control, a new structure is proposed and appropriate equations are derived. Simulation results show the effectiveness of proposed Multi-Model Unfalsified Generalized Predictive control.

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Type of Article: Research paper | Subject: Special
Received: 2015/06/25 | Accepted: 2015/10/6 | Published: 2015/10/6

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