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LMI-Based Fuzzy Optimal Variance Control of Airfoil Model Subject to Input ConstraintsThis paper presents a study of fuzzy optimal variance control problem for dynamical systems subject to actuator amplitude and rate constraints. Using Takagi-Sugeno fuzzy modeling and dynamic Parallel Distributed Compensation technique, the stability and the constraints can be cast as a multi-objective optimization problem in the form of Linear Matrix Inequalities. By utilizing the formulations and solutions for the input and output variance constraint problems, we develop a fuzzy full-state feedback controller. The stability and performance of the proposed controller is demonstrated through its application to the airfoil flutter suppression.
Document ID
20170006472
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Swei, Sean S.M. (NASA Ames Research Center Moffett Field, CA United States)
Ayoubi, Mohammad A. (Santa Clara Univ. CA, United States)
Date Acquired
July 11, 2017
Publication Date
July 9, 2017
Subject Category
Theoretical Mathematics
Aircraft Stability And Control
Report/Patent Number
ARC-E-DAA-TN41787
Meeting Information
Meeting: IEEE International Conference on Fuzzy Systems
Location: Naples
Country: Italy
Start Date: July 9, 2017
End Date: July 12, 2017
Sponsors: Institute of Electrical and Electronics Engineers
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
optimal variance control
LMI
Fuzzy modeling

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