Simplified synchronizability scheme for a class of nonlinear systems connected in chain configuration using contraction
Pallov Anand and
Bharat Bhushan Sharma
Chaos, Solitons & Fractals, 2020, vol. 141, issue C
Abstract:
This paper derives results for the stabilizing and synchronizing controller for a generalized class of nonlinear systems connected in chain configuration. The proposed procedure utilizes contraction based backstepping approach blended with Gershgorin theorem instead of Lyapunov stability based backstepping technique for designing controllers for such systems. A systematic step by step strategy is adopted to obtain a single controller to achieve stabilization of states of systems. Further, results are extended to synchronize the systems belonging to the given generalized class of nonlinear systems. The proposed procedure leads to quite a simple controller for targeted synchronization task in comparison to existing controllers in literature for such class of systems. The systems among which the synchronization has to be done are assumed to be connected in chain formation through one-way coupling. To verify the efficacy of the proposed approach, chaotic systems such as Lorenz-Stenflo, Chen, Lu¨ and Lorenz systems have been considered and detailed numerical validations are presented appropriately.
Keywords: Synchronization; Contraction theory; Exponential convergence; Nonlinear system (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077920307268
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:141:y:2020:i:c:s0960077920307268
DOI: 10.1016/j.chaos.2020.110331
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().