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Intermittent locomotion as an optimal control strategy
Author(s) -
Paolo Paoletti,
L. Mahadevan
Publication year - 2014
Publication title -
proceedings of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2946
pISSN - 1364-5021
DOI - 10.1098/rspa.2013.0535
Subject(s) - propulsion , flexibility (engineering) , control theory (sociology) , optimal control , computer science , energy (signal processing) , nonlinear system , power (physics) , control (management) , mathematical optimization , mathematics , engineering , physics , artificial intelligence , statistics , quantum mechanics , aerospace engineering
Birds, fish and other animals routinely use unsteady effects to save energy by alternating between phases of active propulsion and passive coasting. Here, we construct a minimal model for such behaviour that can be couched as an optimal control problem via an analogy to travelling with a rechargeable battery. An analytical solution of the optimal control problem proves that intermittent locomotion has lower energy requirements relative to steady-state strategies. Additional realistic hypotheses, such as the assumption that metabolic cost at a given power should be minimal (the fixed gear hypothesis), a nonlinear dependence of the energy storage rate on propulsion and/or a preferred average speed, allow us to generalize the model and demonstrate the flexibility of intermittent locomotion with implications for biological and artificial systems.

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