Control of multidimensional systems on complex network

Multidimensional systems coupled via complex networks are widespread in nature and thus frequently invoked for a large plethora of interesting applications. From ecology to physics, individual entities in mutual interactions are grouped in families, homogeneous in kind. These latter interact selecti...

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Bibliographic Details
Published in:PloS one 2017-09, Vol.12 (9), p.e0184431-e0184431
Main Authors: Cencetti, Giulia, Bagnoli, Franco, Battistelli, Giorgio, Chisci, Luigi, Fanelli, Duccio
Format: Article
Language:English
Subjects:
Algorithms
Applied mathematics
Biological complexity
Biological evolution
Biology
Biology and Life Sciences
Competition
Computer and Information Sciences
Control systems
Dynamic stability
Dynamical systems
Ecology
Equilibrium
Gene expression
Genetic engineering
Mathematical models
Medicine and Health Sciences
Metabolism
Models, Theoretical
Nonlinear dynamics
Nonlinear systems
Physical Sciences
Physics
Root locus
Stability analysis
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Summary:Multidimensional systems coupled via complex networks are widespread in nature and thus frequently invoked for a large plethora of interesting applications. From ecology to physics, individual entities in mutual interactions are grouped in families, homogeneous in kind. These latter interact selectively, through a sequence of self-consistently regulated steps, whose deeply rooted architecture is stored in the assigned matrix of connections. The asymptotic equilibrium eventually attained by the system, and its associated stability, can be assessed by employing standard nonlinear dynamics tools. For many practical applications, it is however important to externally drive the system towards a desired equilibrium, which is resilient, hence stable, to external perturbations. To this end we here consider a system made up of N interacting populations which evolve according to general rate equations, bearing attributes of universality. One species is added to the pool of interacting families and used as a dynamical controller to induce novel stable equilibria. Use can be made of the root locus method to shape the needed control, in terms of intrinsic reactivity and adopted protocol of injection. The proposed method is tested on both synthetic and real data, thus enabling to demonstrate its robustness and versatility.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0184431