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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities
Author: Derui Ding
Publisher: CRC Press
Total Pages: 249
Release: 2018-10-11
Genre: Mathematics
ISBN: 0429880030

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The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact. Key Features Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems Captures the essence of performance analysis and synthesis for stochastic control and filtering Concepts and performance indexes proposed reflect the requirements of engineering practice Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability


Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities
Author: Derui Ding
Publisher: CRC Press
Total Pages: 249
Release: 2018-10-11
Genre: Mathematics
ISBN: 0429880022

Download Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities Book in PDF, ePub and Kindle

The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact. Key Features Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems Captures the essence of performance analysis and synthesis for stochastic control and filtering Concepts and performance indexes proposed reflect the requirements of engineering practice Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability


Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
Author: Yong Zhang
Publisher: CRC Press
Total Pages: 290
Release: 2023-02-09
Genre: Technology & Engineering
ISBN: 1000835944

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This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.


Discrete Event Systems

Discrete Event Systems
Author: Christos G. Cassandras
Publisher: McGraw-Hill Science, Engineering & Mathematics
Total Pages: 824
Release: 1993
Genre: Mathematics
ISBN:

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Documentation Abstracts

Documentation Abstracts
Author:
Publisher:
Total Pages: 498
Release: 1997
Genre: Documentation
ISBN:

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Index to IEEE Periodicals

Index to IEEE Periodicals
Author: Institute of Electrical and Electronics Engineers
Publisher:
Total Pages: 296
Release: 1972
Genre: Electric engineering
ISBN:

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Stochastic Hybrid Systems

Stochastic Hybrid Systems
Author: Christos G. Cassandras
Publisher: CRC Press
Total Pages: 300
Release: 2018-10-03
Genre: Technology & Engineering
ISBN: 1420008544

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Because they incorporate both time- and event-driven dynamics, stochastic hybrid systems (SHS) have become ubiquitous in a variety of fields, from mathematical finance to biological processes to communication networks to engineering. Comprehensively integrating numerous cutting-edge studies, Stochastic Hybrid Systems presents a captivating treatment of some of the most ambitious types of dynamic systems. Cohesively edited by leading experts in the field, the book introduces the theoretical basics, computational methods, and applications of SHS. It first discusses the underlying principles behind SHS and the main design limitations of SHS. Building on these fundamentals, the authoritative contributors present methods for computer calculations that apply SHS analysis and synthesis techniques in practice. The book concludes with examples of systems encountered in a wide range of application areas, including molecular biology, communication networks, and air traffic management. It also explains how to resolve practical problems associated with these systems. Stochastic Hybrid Systems achieves an ideal balance between a theoretical treatment of SHS and practical considerations. The book skillfully explores the interaction of physical processes with computerized equipment in an uncertain environment, enabling a better understanding of sophisticated as well as everyday devices and processes.