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Titlebook: Recent Advances in Nonlinear Dynamics and Synchronization; With Selected Applic Kyandoghere Kyamakya,Wolfgang Mathis,Zhong Li Book 2018 Spr

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Neural-Network-Based Calibration of Macroscopic Traffic Flow Modelsuations (PDEs). The calibration scheme/module developed aims at improving both accuracy and stability of the nonlinear PDE models in order to make them more realistic. In essence, the macroscopic nonlinear PDE models of traffic flow (proposed in the literature) are generally inaccurate, unstable, an
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Travelers in the Second Modernity: Where Technological and Social Dynamic Complexity Meet Each Othernt essay draws its inspiration mainly from the findings of systems theory and sociology about nonlinearity and individualization with particular application to mobility systems. Its first part analyzes the societal system of the second modernity as an open system with high nonlinearity. The second p
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COMPRAM Assessment and System Dynamics Modeling and Simulation of Car-Following Model for Degraded Rand acceleration of road degradation. More and more money is spent on the maintenance of the same segment of road and on the repair of cars due to potholes. This complex phenomenon “traffic congestion in Kinshasa linked to degraded roads” is analyzed with the COMPRAM methodology. It is shown that mo
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Design of a Chaotic Pulse-Position Modulation Circuitndard electronic components, and the parameters of the generated signals, including the pulse period, the modulation range of the pulse-position, even the probability distribution of the pulse-position, can be adjusted flexibly.
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Nonlinear Programming Approach for Design of High Performance Sigma–Delta Modulatorsgnal-to-noise ratio, taking into account the modulator’s stability. The proposed approach uses an analytic formula for calculation of the signal-to-noise ratio and an analytic formula for stability of the modulator. Thus the goal function becomes maximization of the signal-to-noise ratio and constra
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