2022
DOI: 10.3934/dcdsb.2022047
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Synchronization of dynamical systems on Riemannian manifolds by an extended PID-type control theory: Numerical evaluation

Abstract: <p style='text-indent:20px;'>The present document outlines a non-linear control theory, based on the PID regulation scheme, to synchronize two second-order dynamical systems insisting on a Riemannian manifold. The devised extended PID scheme, referred to as M-PID, includes an unconventional component, termed 'canceling component', whose purpose is to cancel the natural dynamics of a system and to replace it with a desired dynamics. In addition, this document presents numerical recipes to implement such s… Show more

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Cited by 3 publications
(4 citation statements)
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“…where q(t) = [I(t), T(t), N(t), u(t)] T . This law is consistent with similar approaches for simple PD control on manifolds, described in Fiori et al [28]. As a trademark of antifragile control, the first term in the Equation ( 14), K q φ(q), seeks to anticipate (not to predict) a higher level of error than the previous maximum through a redundant overcompensation that builds extra-capacity through the choice of the transport map that determines the term K q φ(q).…”
Section: Redundant Overcompensationsupporting
confidence: 82%
See 1 more Smart Citation
“…where q(t) = [I(t), T(t), N(t), u(t)] T . This law is consistent with similar approaches for simple PD control on manifolds, described in Fiori et al [28]. As a trademark of antifragile control, the first term in the Equation ( 14), K q φ(q), seeks to anticipate (not to predict) a higher level of error than the previous maximum through a redundant overcompensation that builds extra-capacity through the choice of the transport map that determines the term K q φ(q).…”
Section: Redundant Overcompensationsupporting
confidence: 82%
“…In Problem (28), objective function J = ϕ(x(t f ), t f ) is the tumor burden of the patient given the changes in the interacting cell populations N, T, I described by x(t) and their evolution f (x(t), v(t), t) under the drug administration. The state constraint g(x(t)) is used to maximize tumor kill and keep normal cells above a threshold.…”
Section: Optimal Controlmentioning
confidence: 99%
“…Therefore, it is extensively utilized in industrial process control [3][4]. However, for the production of actual industrial processes, the modeling accuracy of PID control is low, the stability of control parameters is poor, and the adaptability to actual operating conditions is insufficient [5].…”
Section: Introductionmentioning
confidence: 99%
“…There is still challenging and valuable topics to explore in the efficient control of unmanned vehicles based on the dynamic analysis theory [20,21]. Synchronization is the performance index of the dynamic system, such as the neural network system and complex network system [22][23][24]. The purpose of synchronized tracking is to make the unmanned vehicles achieve the desired trajectory.…”
Section: Introductionmentioning
confidence: 99%