strain 发表于 2025-3-23 12:35:16
Conference proceedings 2013ons in the area of theoretical electrical engineering. The present book is divided into twenty-one chapters grouped in five parts. The first part focuses on theoretical issues related to chaos and synchronization and their potential applications in mechanics, transportation, communication and securiVEIL 发表于 2025-3-23 15:43:26
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Time-of-Flight Estimation Using Synchronized Chaotic Systemsnce and the bias of the derived delay estimate. From a signal processing point of view chaotic signals exhibit properties which make them well suited for metrological applications. In this chapter we experimentally investigate the applicability of synchronized chaotic systems in a ToF measurement syWAG 发表于 2025-3-24 10:36:20
Binary Synchronization of Complex Dynamics in Cellular Automata and its Applications in Compressed SThis chapter reviews recent results in quantifying the complexity of the dynamics in cellular automata with an emphasis on the recently discovered phenomenon called .. It allows that two cellular automata systems with the same structure will synchronize (the receiver will duplicate the n-dimensionalinchoate 发表于 2025-3-24 11:46:28
Self-Shaping Attractors for Coupled Limit Cycle Oscillatorscharacterizing its frequencies and the shape of limit cycle. The Λ. are allowed, thanks to appropriate interactions, to self-adapt. The self-adaptive mechanism ultimately drive all oscillators to a consensual dynamical state where all local systems share a common and constant consensual set of paramMAIM 发表于 2025-3-24 16:28:37
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Dynamics of Liénard Optoelectronic Oscillatorshe OEO dynamical systems are based on negative differential resistance resonant tunneling diode oscillators incorporating a photoconductive region and laser diodes. The modeling results are in a good agreement with the wide variety dynamics that has been observed in recent experimental work spanningmodifier 发表于 2025-3-24 23:48:34
Application of Coupled Dynamical Systems for Communities Detection in Complex Networkss utilizing network topology and its dynamics. In particular, we consider the dynamical formulation of modularity extended with a random walk approach, and then generalize it to coupled dynamical systems to detect communities at different hierarchical levels. We introduce attractive and repulsive co