Abstract
In the real world, complex networks can be seen everywhere, and have been viewed as a fundamental tool in understanding dynamical behavior and the response of real systems such as food webs, communication networks, social networks, cellular networks, World Wide Web, metabolic systems, disease transmission networks, biological neural networks, CNNs, power grids, and many others [1–3]. The investigation of CDNs obviously plays a prominent role both in application and theory, and the topology and dynamical behavior of various complex networks have been extensively studied by researchers [4, 5]. Especially, as one of the most significant and interesting dynamical properties of the complex networks, synchronization has received much of the focus in recent years. So far, a great many important results on synchronization have been obtained for various complex networks such as time invariant, time-varying, and impulsive network models; see [6–21] and relevant references therein.
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Wang, JL., Wu, HN., Huang, T., Ren, SY. (2019). Introduction. In: Analysis and Control of Output Synchronization for Complex Dynamical Networks. Springer, Singapore. https://doi.org/10.1007/978-981-13-1352-3_1
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DOI: https://doi.org/10.1007/978-981-13-1352-3_1
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