Feedback control algorithms in animal's neural behavior
ORAL
Abstract
Feedback control is a hallmark of living systems. Time-delayed linear proportional control algorithms have proven to be suprisingly effective and efficient in regulating complex nonliner dynamics of flapping flight. In this talk, I will discuss the control algorithms we have found in insects' righting reflexes and pursuit dynamics. I will present proofs of the stability and optimality conditions in an abstracted one dimensional time-delayed system to show that the time delay and the control gain are close to optimal in the algorithms used by insects.
*NSF Physics of Living Systems.
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Publication: Z. J. Wang, Insect Flight, from Newton's law to Neurons, Annual Review of Condensed Matter Physics, 2016
Z. J. Wang, J. Melfi. Jr., A. Leonardo, Righting mechanisms in the dragonfly's righting reflex, Science, 2022
O, Wetherbee and Z. J. Wang, Discovering Stable Flapping Flight and Explicit Criteria for Stability in Morphological Space, APS Global Summit, 2024
Z. J. Wang, Stability and Optimal Conditions for 1D time-delayed control algorithm, preprint
Presenters
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Z Jane Wang
- Cornell University
- Cornell