Large Scale Systems: Modeling, Control, and Fuzzy Logics: Modeling, Control and Fuzzy Logic (Volume 8) - Rilegato

Jamshidi, Mohammad

Rilegato

ISBN 10: 0131256831 ISBN 13: 9780131256835

Casa editrice: Prentice Hall, 1996

Riassunto

Examines past and present trends and future possibilities in large-scale systems, focusing on computer-assisted problem-solving. Addresses modeling and model reduction, optimum and near-optimum control, system properties, and the role of fuzzy systems in the model identification and control of large-scale systems. Concepts are presented with their proofs, followed by an algorithm showing how to use the results, plus chapter problems. Appendices review fuzzy set theory and describe a fuzzy logic development kit, FULDEK. Annotation c. by Book News, Inc., Portland, Or.

Su questo libro

L'autore:

Mohammad Jamshidi is the AT&T Professor and Director of the NASA Center for Autonomous Control Engineering at the University of New Mexico at Albuquerque. He is also the Associate Research Director at Laboratoire d'Architecture et D'Analyse des Systems of the Centre National Recherche Scientifique in Toulouse, France.

Dalla quarta di copertina:

12568-2

How Large is Large?

One definition of large-scale systems is that they are capable of partitioning into subsystems for computational or practical reasons. Another viewpoint defines any system as “large” if conventional techniques of modeling, analysis, and control fail to yield reasonable solutions with reasonable computational efforts. These definitions can be applied to a variety of systems in fields as diverse as business management, the environment, data networks, aerospace, transportation, and energy.

All these large-scale systems require special approaches to modeling and control, and recent advances in soft computing provide new opportunities to use intelligent control to manage their complexity. Fuzzy logic, neural networks, and genetic (evolutionary) algorithms all offer new avenues for modeling, stabilization, control, and optimization of large-scale systems.

This book presents past and present trends, and looks into the future potential with a special focus on computer-assisted problem-solving. Concepts are presented with their proofs, followed by an algorithm showing how to use the results. Problems are included at the end of every chapter.

Major topics include:

• Modeling and model reduction: aggregation, perturbation, balance aggregation, and system identification
• Structural properties: stability, controllability, and observability
• Control systems: hierarchical control, decentralized control, and optimum control theory
• Fuzzy logic: fuzzy set theory, fuzzy mathematics, fuzzy operations research, and fuzzy control systems
• This book offers an innovative yet practical approach to the challenges of large-scale systems.

Software for solving the problems in the text can be ordered using the postcards included in this book.

Su questa edizione

• Editore: Prentice Hall
• Data di pubblicazione: 1996
• ISBN 10: 0131256831
• ISBN 13: 9780131256835
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 578