Grassi, Giuseppe; Mascolo, Saverio Synchronizing high dimensional chaotic systems via eigenvalue placement with application to cellular neural networks. (English) Zbl 0980.37032 Int. J. Bifurcation Chaos Appl. Sci. Eng. 9, No. 4, 705-711 (1999). Summary: In this paper a method for synchronizing high dimensional chaotic systems is developed. The objective is to generate a linear error dynamics between the master and the slave systems, so that synchronization is achievable by exploiting the controllability property of linear systems. The suggested approach is applied to Cellular Neural Networks (CNNs), which can be considered as a tool for generating complex hyperchaotic behaviors. Numerical simulations are carried out for synchronizing CNNs constituted by Chua’s circuits. Cited in 30 Documents MSC: 37M05 Simulation of dynamical systems 93C15 Control/observation systems governed by ordinary differential equations 37D45 Strange attractors, chaotic dynamics of systems with hyperbolic behavior Keywords:eigenvalue placement; cellular neural networks; synchronization PDF BibTeX XML Cite \textit{G. Grassi} and \textit{S. Mascolo}, Int. J. Bifurcation Chaos Appl. Sci. Eng. 9, No. 4, 705--711 (1999; Zbl 0980.37032) Full Text: DOI References: [1] DOI: 10.1049/el:19960262 [2] DOI: 10.1109/31.75404 [3] DOI: 10.1109/31.7600 · Zbl 0663.94022 [4] DOI: 10.1109/81.473564 [5] Cuomo K. M., IEEE Trans. CAS 40 (10) pp 626– (1993) [6] Grassi G., IEEE Trans. CAS, Special Issue on Chaos Synchronization, Control, and Applications 44 (10) pp 1011– (1997) [7] DOI: 10.1109/81.251827 · Zbl 0841.94043 [8] DOI: 10.1109/81.401155 [9] DOI: 10.1109/81.298367 [10] DOI: 10.1109/TCS.1986.1085862 [11] DOI: 10.1002/(SICI)1097-007X(199703/04)25:2<55::AID-CTA949>3.0.CO;2-X · Zbl 0886.68110 [12] DOI: 10.1142/S0218127496001405 · Zbl 1298.92017 [13] DOI: 10.1142/S0218127497000455 · Zbl 0925.93342 [14] DOI: 10.1049/el:19960630 [15] DOI: 10.1049/el:19970393 [16] DOI: 10.1142/S0218127494000691 · Zbl 0875.93445 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.