1 edition of **Control and Modeling of Complex Systems** found in the catalog.

- 99 Want to read
- 34 Currently reading

Published
**2003**
by Birkhäuser Boston, Imprint: Birkhäuser in Boston, MA
.

Written in English

- Mathematics,
- Engineering,
- Physics,
- Systems theory

**Edition Notes**

Statement | edited by Koichi Hashimoto, Yasuaki Oishi, Yutaka Yamamoto |

Series | Trends in Mathematics, Trends in mathematics |

Contributions | Oishi, Yasuaki, Yamamoto, Yutaka |

Classifications | |
---|---|

LC Classifications | Q295, QA402.3-402.37 |

The Physical Object | |

Format | [electronic resource] : |

Pagination | 1 online resource (xxix, 337 p.) |

Number of Pages | 337 |

ID Numbers | |

Open Library | OL27027259M |

ISBN 10 | 1461265770, 1461200237 |

ISBN 10 | 9781461265771, 9781461200239 |

OCLC/WorldCa | 853266573 |

Master process control hands on, through practical examples and MATLAB(R) simulations This is the first complete introduction to process control that fully integrates software tools--enabling professionals and students to master critical techniques hands on, through computer simulations based on the popular MATLAB environment. Process Control: Modeling, Design, and Simulation teaches the field 4/5(6). Systems engineering is the design of a complex interconnection of many elements (a system) to maximize a specific measure of system performance. It consists of two parts: modeling, in which each element of the system and its performance criteria are described; and optimization in which adjustable elements are tailored to allow peak performance.

The correct understanding of complex systems modelling is difficult, it requires knowledge at least at the level of a master degree at a mathematics and/or physics, preferentially with the specialization to modelling of natural phenomenonena. Even. Modeling of Complex Systems: An Introduction describes the framework of complex systems. This book discusses the language of system theory, taxonomy of system concepts, steps in model building, and establishing relations using physical Edition: 1.

Starting with a graph-theoretic framework for structural modeling of complex systems, this text presents results related to robust stabilization via decentralized state feedback. Subsequent chapters explore optimization, output feedback, the manipulative power of graphs, overlapping decompositions and the underlying inclusion principle, and reliability design. A complex system is a system composed of many components which may interact with each other. Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, social and economic organizations (like cities), an ecosystem, a living cell, and ultimately the entire universe.

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Machine Learning, Dynamical Systems and Control Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems.

This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems.

The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic Author: Hiroki Sayama.

Examples of control systems used in industry Control theory is a relatively new field in Control and Modeling of Complex Systems book when compared with core topics, such as statics, dynamics, thermodynamics, etc.

Early examples of control systems were developed actually before the science was fully understood. Each chapter provides theoretical and methodological descriptions of a specific application in the control of complex systems, including congestion control in computer networks, autonomous multi-robot docking systems, modeling and control in cancer genomics, and backstepping controllers for stabilization of turbulent flow PDEs.

Control and Modeling of Complex Systems Cybernetics in the 21st Century Festschrift in Honor of Hidenori Kimura on the Occasion of his 60th Birthday. Editors: Hashimoto, Koichi, Yamamoto, Yutaka, Oishi, Yasuaki (Eds.) Free Preview. Modeling and Control of Complex Systems (Automation and Control Engineering Book 26) - Kindle edition by Petros A.

Ioannou, Andreas Pitsillides. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Modeling and Control of Complex Systems (Automation and Control Engineering Book 26).Price: $ " After obtaining his doctorate, he joined the Department of Control En gineering at Osaka University as a research associate, and in he was promoted to an associate professor.

Keywords Analysis Chaos Signal complex systems information model modeling optimization robot. –Muaz A. Niazi, Complex Adaptive Systems Modeling " Sayama's book is a very good instrument for students who want to read an introductory text on modeling and analysis of complex systems, and for instructors who need such a text in simple language for Cited by: In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools.

The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and.

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Ioa. Energy exchange is a major foundation of the dynamics of physical systems, and, hence, in the study of complex multi-domain systems, methodologies that explicitly describe the topology of energy exchanges are instrumental in structuring the modeling and the computation of the system's dynamics and its control.

This book is the outcome of the. Modeling, Control And Optimization Of Complex Systems is a collection of contributions from leading international researchers in the fields of dynamic systems, control theory, and modeling. These papers were presented at the Symposium on Modeling and Optimization of Complex Systems in honor of Larry Yu-Chi Ho in June Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole.

However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying to understand posCited by: This useful reference enhances coverage of practical applications via the inclusion of new control system models, troubleshooting tips, and expanded coverage of complex systems requirements, such as increased speed, precision and remote capabilities, bridging the gap between the complex, math-heavy control theory taught in formal courses, and.

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