MULTI-MODEL UNFALSIFIED PREDICTIVE SUPERVISORY CONTROL

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NOURI MANZAR MOJTABA; KHAKI SEDIGH ALI

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Journal: Journal of Control Year:2015 | Volume:9 | Issue:2 Page(s): 0-0

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Information Journal Paper

Title

MULTI-MODEL UNFALSIFIED PREDICTIVE SUPERVISORY CONTROL

Author(s)

NOURI MANZAR MOJTABA | KHAKI SEDIGH ALI | Issue Writer Certificate

Keywords

UNFALSIFIED ADAPTIVE CONTROLQ2

PREDICTIVE CONTROLQ2

SUPERVISORY CONTROLQ2

MULTIPLE MODEL CONTROLQ2

Abstract

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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APA: Copy

NOURI MANZAR, MOJTABA, & KHAKI SEDIGH, ALI. (2015). MULTI-MODEL UNFALSIFIED PREDICTIVE SUPERVISORY CONTROL. JOURNAL OF CONTROL, 9(2), 0-0. SID. https://sid.ir/paper/403247/en

Vancouver: Copy

NOURI MANZAR MOJTABA, KHAKI SEDIGH ALI. MULTI-MODEL UNFALSIFIED PREDICTIVE SUPERVISORY CONTROL. JOURNAL OF CONTROL[Internet]. 2015;9(2):0-0. Available from: https://sid.ir/paper/403247/en

IEEE: Copy

MOJTABA NOURI MANZAR, and ALI KHAKI SEDIGH, “MULTI-MODEL UNFALSIFIED PREDICTIVE SUPERVISORY CONTROL,” JOURNAL OF CONTROL, vol. 9, no. 2, pp. 0–0, 2015, [Online]. Available: https://sid.ir/paper/403247/en

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