On finite time resonance entrainment in ...
Document type :
Communication dans un congrès avec actes
Title :
On finite time resonance entrainment in multi-DOF systems
Author(s) :
Efimov, Denis [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Fradkov, Alexander [Auteur]
Institute of Mechanical Engineering Problems [St. Petersburg] [IPME]
Iwasaki, Tetsuya [Auteur]
Department of Mechanical and Aerospace Engineering [Los Angeles]
Non-Asymptotic estimation for online systems [NON-A]
Fradkov, Alexander [Auteur]
Institute of Mechanical Engineering Problems [St. Petersburg] [IPME]
Iwasaki, Tetsuya [Auteur]
Department of Mechanical and Aerospace Engineering [Los Angeles]
Conference title :
ACC 2012
City :
Montreal
Country :
Canada
Start date of the conference :
2012-06-27
Publication date :
2012-06-27
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
The mechanism of entrainment to natural oscillations in a class of (bio)mechanical systems described by linear models is investigated. A nonlinear control strategy (based on the speed gradient control algorithm) is analyzed ...
Show more >The mechanism of entrainment to natural oscillations in a class of (bio)mechanical systems described by linear models is investigated. A nonlinear control strategy (based on the speed gradient control algorithm) is analyzed providing the system oscillation in resonance mode with a natural frequency. It ensures an energy-optimal entrainment performance robustly against perturbations in system parameters in a finite time. The obtained controller equations can be interpreted as equations of a dynamical neural network. Assuming that the resetting mechanism in animals is selected to ensure a suboptimal entrainment performance, the neural network interpretation may be helpful for understanding the entrainment phenomenon in nature. Efficiency of the proposed entrainment solutions is demonstrated by examples of computer simulation.Show less >
Show more >The mechanism of entrainment to natural oscillations in a class of (bio)mechanical systems described by linear models is investigated. A nonlinear control strategy (based on the speed gradient control algorithm) is analyzed providing the system oscillation in resonance mode with a natural frequency. It ensures an energy-optimal entrainment performance robustly against perturbations in system parameters in a finite time. The obtained controller equations can be interpreted as equations of a dynamical neural network. Assuming that the resetting mechanism in animals is selected to ensure a suboptimal entrainment performance, the neural network interpretation may be helpful for understanding the entrainment phenomenon in nature. Efficiency of the proposed entrainment solutions is demonstrated by examples of computer simulation.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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