Description

Book Synopsis

In the first chapter, Dr Christian Hugo Hoffmann presents a study that adds to the current knowledge on financial risk and complexity while drawing on the concept of organized complexity, coined by Weaver. He finishes by explaining the correlation between the ideas of complexity, randomness, and systemic risks. In the second chapter, Peter A. Stubberud, Stephen C Stubberud, and Allen R. Stubberud present a signal processing technique, which is a simplification of the dynamic element matching technique, or DEMT and is referred to as the dynamic system matching technique, or DSMT, for controlling the noise signal in the output of a system due to manufacturing errors. In the third and final chapter, Yu Zhou, Weigang Wu, and Huaguan Li define new system models to describe the dynamicity of clusters and then, based on those models, they design and present an algorithm that is able to elect an eventual leader.

Dynamic Systems: Modeling, Performance &

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    A Hardback by Marshall Hines

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      Book details

      Publisher Nova Science Publishers Inc
      Published 1 October 2017
      ISBN-13 9781536125573
      978-1536125573
      ISBN-10 1536125571
      Also in:
      Computer modelling and simulation Systems analysis and design

      Description

      Book Synopsis

      In the first chapter, Dr Christian Hugo Hoffmann presents a study that adds to the current knowledge on financial risk and complexity while drawing on the concept of organized complexity, coined by Weaver. He finishes by explaining the correlation between the ideas of complexity, randomness, and systemic risks. In the second chapter, Peter A. Stubberud, Stephen C Stubberud, and Allen R. Stubberud present a signal processing technique, which is a simplification of the dynamic element matching technique, or DEMT and is referred to as the dynamic system matching technique, or DSMT, for controlling the noise signal in the output of a system due to manufacturing errors. In the third and final chapter, Yu Zhou, Weigang Wu, and Huaguan Li define new system models to describe the dynamicity of clusters and then, based on those models, they design and present an algorithm that is able to elect an eventual leader.

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