Litcius/Paper detail

Controllability of Heterogeneous Networked Systems With Nonidentical Inner-Coupling Matrices

Zhi Kong, Lianqian Cao, Lifu Wang, Ge Guo

2021IEEE Transactions on Control of Network Systems21 citationsDOI

Abstract

This article investigates state controllability of high-dimensional linear networked systems with weighted topology, heterogeneous node dynamics, and nonidentical inner-coupling matrices. The focus is on how the node heterogeneity and nonidentical inner-coupling may affect the controllability of the system. It is found that the heterogeneous networked systems with nonidentical inner-coupling are controllable, even if the identically inner-coupled counterparts are uncontrollable, and vice versa. The finding also reveals the influence of the heterogeneity of the inner-coupling matrix on the network controllability. Some necessary and sufficient conditions for general linear systems with nonidentical inner-coupling, including some special cases to retain controllability, are derived. For typical structure networks, the controllability conditions depend solely on the specific form of the coupling matrix between a small number of nodes, but are independent of the coupling relationship between the remaining nodes. Some examples are given for illustration and verification.

Topics & Concepts

ControllabilityCoupling (piping)Topology (electrical circuits)Network controllabilityNode (physics)Control theory (sociology)MathematicsHeterogeneous networkMatrix (chemical analysis)Computer sciencePhysicsTelecommunicationsEngineeringControl (management)CombinatoricsApplied mathematicsMaterials scienceBetweenness centralityCentralityWireless networkArtificial intelligenceComposite materialQuantum mechanicsWirelessMechanical engineeringNeural Networks Stability and SynchronizationOpinion Dynamics and Social InfluenceNonlinear Dynamics and Pattern Formation