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.

Язык оригиналаАнглийский
Название основной публикации2012 AMERICAN CONTROL CONFERENCE (ACC)
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы1035-1039
Число страниц5
ISBN (печатное издание)978-1-4577-1095-7
СостояниеОпубликовано - 2012
СобытиеAmerican Control Conference (ACC) - Montreal, Канада
Продолжительность: 27 июн 201229 июн 2012

Серия публикаций

НазваниеProceedings of the American Control Conference
ИздательIEEE COMPUTER SOC
ISSN (печатное издание)0743-1619

конференция

конференцияAmerican Control Conference (ACC)
Страна/TерриторияКанада
ГородMontreal
Период27/06/1229/06/12

ID: 76606054