2021
DOI: 10.1016/j.matpur.2020.11.005
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On the optimal control of rate-independent soft crawlers

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Cited by 17 publications
(12 citation statements)
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“…These two results are the basis for the study of optimal gaits for our models, as it has been recently proposed in [3].…”
Section: Introductionmentioning
confidence: 66%
“…These two results are the basis for the study of optimal gaits for our models, as it has been recently proposed in [3].…”
Section: Introductionmentioning
confidence: 66%
“…These two results are the basis for the study of optimal gaits for our models, as it has been recently proposed in [4].…”
mentioning
confidence: 66%
“…Sweeping differential inclusions are highly discontinuous, and the machinery of Lipschitzian variational analysis is not applicable in the sweeping framework. Further developments of this method in various sweeping control settings can be found in [2,9,8,10,13,14] and the references therein. However, neither these publications, nor those of [5,15,35] exploring other approaches to deriving optimality conditions in different models of sweeping optimal control address additional endpoint constraints x(T ) ∈ Ω on sweeping trajectories.…”
Section: Discrete Approximations Of Controlled Sweeping Processesmentioning
confidence: 99%
“…The third topic we investigate here concerns an optimal control problem for the sweeping process in (1.1) and (1.2) under the additional pointwise equality constraint on the u-component of controls and geometric endpoint constraint x (u,b) ∈ Ω on trajectories. Optimal control theory for sweeping processes, with addressing the main issue of deriving necessary optimality conditions, has been started rather recently in [11] and then has been extensively developed in subsequent publications (see, e.g., [2,5,8,9,10,12,13,14,15,35] and the references therein), which did not concern however systems with endpoint constraints. Problems of sweeping optimal control, that are governed by discontinuous dif-ferential inclusions with intrinsic pointwise and irregular state constraints, constitute one of the most challenging class in modern control theory.…”
Section: Introduction and Problem Formulationmentioning
confidence: 99%