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Ensemble Control on Lie Groups

Authors :
Jr-Shin Li
Wei Zhang
Source :
SIAM Journal on Control and Optimization. 59:3805-3827
Publication Year :
2021
Publisher :
Society for Industrial & Applied Mathematics (SIAM), 2021.

Abstract

Problems involving control of large ensmebles of structurally identical dynamical systems, called \emph{ensemble control}, arise in numerous scientific areas from quantum control and robotics to brain medicine. In many of such applications, control can only be implemented at the population level, i.e., through broadcasting an input signal to all the systems in the population, and this new control paradigm challenges the classical systems theory. In recent years, considerable efforts have been made to investigate controllability properties of ensemble systems, and most works emphasized on linear and some forms of bilinear and nonlinear ensemble systems. In this paper, we study controllability of a broad class of bilinear ensemble systems defined on semisimple Lie groups, for which we define the notion of ensemble controllability through a Riemannian structure of the state space Lie group. Leveraging the Cartan decomposition of semisimple Lie algebras in representation theory, we develop a \emph{covering method} that decomposes the state space Lie group into a collection of Lie subgroups generating the Lie group, which enables the determination of ensemble controllability by controllability of the subsystems evolving on these Lie subgroups. Using the covering method, we show the equivalence between ensemble and classical controllability, i.e., controllability of each individual system in the ensemble implies ensemble controllability, for bilinear ensemble systems evolving on semisimple Lie groups. This equivalence makes the examination of controllability for infinite-dimensional ensemble systems as tractable as for a finite-dimensional single system.<br />Comment: keywords: Ensemble control, Semisimple Lie groups, Approximation theory, Controllability, Infinite-dimensional Systems

Details

ISSN :
10957138 and 03630129
Volume :
59
Database :
OpenAIRE
Journal :
SIAM Journal on Control and Optimization
Accession number :
edsair.doi.dedup.....3d25c95f19050b160cea83a9c876561a