Handbook of Research on Modeling, Analysis, and Control of Complex Systems

Handbook of Research on Modeling, Analysis, and Control of Complex Systems

Ahmad Taher Azar (Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt & College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia) and Nashwa Ahmad Kamal (Faculty of Engineering, Cairo University, Giza, Egypt)
Release Date: December, 2020|Copyright: © 2021 |Pages: 685
DOI: 10.4018/978-1-7998-5788-4
ISBN13: 9781799857884|ISBN10: 1799857883|EISBN13: 9781799857907|ISBN13 Softcover: 9781799857891
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Description & Coverage
Description:

The current literature on dynamic systems is quite comprehensive, and system theory’s mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields.

The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Chaotic Map
  • Computer Simulation
  • Energy and Environmental Dynamics
  • Machine Learning
  • Mathematical Modeling
  • Predictive Modeling
  • Random Bit Generation
  • Search Optimization
  • Soft Computing
  • Software Bug Prediction
  • System Dynamics
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