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Titlebook: Recent Advances in Nonlinear Dynamics and Synchronization; Theory and Applicati Kyandoghere Kyamakya,Wolfgang A. Halang,Zhong Li Book 2009

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Coupled Oscillator systems for Microwave Applications: Optimized Design Based on the Study and Contreering applications, and N-push oscillator topologies for high frequency generation. Both architectures are examined from the point of view of identifying multiple coexisting solutions and their stability. Practical examples are provided.
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Synchronization of Movement for a Large-Scale Crowd and evaluated by the following three criteria: the minimization of evacuation time, maximization of instantaneous flow of pedestrians, and maximization of mentality-based synchronization of a crowd. Our computational experiments show that there exist interdependencies between the three criteria.
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Some Recent Advances in Complex Networks Synchronizationuters, physics to biology, even to sociology. Its impacts on the modern high-tech industries, financial markets and human life are prominent and will be far-reaching. Research on fundamental properties and dynamical features of such complex networks has indeed become overwhelming..This Chapter prese
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Networks of Limit Cycle Oscillators with Parametric Learning Capability to operate on the local dynamics. The local dynamics consist of stable limit cycle oscillators which, due to mutual interactions, are allowed, via an adaptive process, to permanently modify their frequencies. Adaptivity is made possible by conferring to each oscillator’s frequency the status of an
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Ragged Synchronizability and Clustering in a Network of Coupled Oscillatorszation in the network of coupled systems. As an example we choose a network of non-diagonally coupled forced van der Pol oscillators.We present construction of the single electrical van der Pol oscillator and array of such systems. We show numerical and experimental results of the existence of the c
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On Synchronization of Coupled Delayed Neural Networkss appear in the form of coupled arrays, where both the linear and nonlinear couplings are taken into account. The activation functions include both the Lipchitz-type and the sector-type ones. Due to the high dimension of the system under consideration, the Kronecker product is utilized to facilitate
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Multiset of Agents in a Network for Simulation of Complex Systemsization and emergence (iii) Power law scaling under emergence (iv) Adaptation, fault tolerance and resilience against damage of its components. We describe briefly, three interrelated mathematical models that enable us to understand these properties: Fractal and percolation model, Stochastic / Chaot
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