In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks. In each chapter, the analysis problems are firstly considered, where the stability, synchronization and other performances (e.g., robustness, disturbances attenuation level) are investigated within a unified theoretical framework. In this stage, some novel notions are put forward to reflect the engineering practice. Then, the estimator design issues are discussed where sufficient conditions are derived to ensure the existence of the desired estimators with guaranteed performances. Finally, the theories and techniques developed in previous parts are applied to deal with some issues in several emerging research areas. The book <ul> <li>Unifies existing and emerging concepts concerning delayed discrete memristive neural networks with an emphasis on a variety of network-induced phenomena</li> <li>Captures recent advances of theories, techniques, and applications of delayed discrete memristive neural networks from a network-oriented perspective</li> <li>Provides a series of latest results in two popular yet interrelated areas, stability analysis and state estimation of neural networks</li> <li>Exploits a unified framework for analysis and synthesis by designing new tools and techniques in combination with conventional theories of systems science, control engineering and signal processing</li> <li>Gives simulation examples in each chapter to reflect the engineering practice</li> </ul>

Stability Analysis and State Estimation of Memristive Neural Networks

Engineering & Transportation

Wang, Zidong

Ma, Lifeng

Liu, Hongjian

Engineering

CRC-Press

Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints

Computers & Technology

Wang Fan

Liang, Jinling

Computer Science

Networked Nonlinear Stochastic Time-Varying Systems

Science & Math

Dong, Hongli

Hou, Nan

Mathematics

Control and State Estimation for Dynamical Network Systems with Complex Samplings

Shen, Bo

Li, Qi

State Estimation and Fault Diagnosis under Imperfect Measurements

Liu, Yang

Zhou, Donghua

This book discusses the Sliding Mode Control (SMC) problems of networked control systems (NCSs) under various communication protocols including static/dynamic/periodic event-triggered mechanism, and stochastic communication, Round-Robin, weighted try-once-discard, multiple-packet transmission, and the redundant channel transmission protocol.&#12288; The super-twisting algorithm and the extended-state-observer-based SMC scheme are described in this book for suppressing chattering. Besides, the SMC designs for two-dimensional (1-D) and two-dimensional (2-D) NCSs are illustrated as well. Features: <ul> <li>Captures recent advances of theories, techniques, and applications of networked sliding mode control from an engineering-oriented perspective.</li> <li>Includes new design ideas and optimization techniques of networked sliding mode control theory.</li> <li>Provides advanced tools to apply networked sliding mode control techniques in the practical applications.</li> <li>Discusses some new tools to the engineering applications while dealing with the model uncertainties and external disturbances.</li> </ul> This book aims at Researchers and professionals in Control Systems, Computer Networks, Internet of Things, and Communication Systems.

Protocol-Based Sliding Mode Control: 1D and 2D System Cases

Song, Jun

Niu, Yugang

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: <ul> <li>Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities.</li> <li>Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective.</li> <li>Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system.</li> <li>Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems.</li> <li>Includes simulation examples in each chapter to reflect the engineering practice.</li> </ul> This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

ZHANG YONG

Yuan, Ye

This book presents the up-to-date research developments and novel methodologies on Multi-Sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB. Features: <ul> <li>Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints.</li> <li>Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.</li> <li>Provides theoretic values and engineering insights of the censored data and constrained network.</li> <li>Discusses performance evaluation of the presented multi-sensor fusion algorithms.</li> <li>Explores promising research directions on future multi-sensor fusion.</li> </ul> This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

Cheng, Yuhua

Geng, Hang

Technology

Analysis and Synthesis for Networked Multi-Rate Systems

Shen, Yuxuan

In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the phenomenon of randomly occurring incomplete information has become more and more prevalent. Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information reflects the state-of-the-art of the research area for handling randomly occurring incomplete information from three interrelated aspects of control, filtering and fault detection. Recent advances in networked control systems and distributed filtering over sensor networks are covered, and application potential in mobile robotics is also considered. The reader will benefit from the introduction of new concepts, new models and new methodologies with practical significance in control engineering and signal processing. Key Features: <ul>
<li>Establishes a unified framework for filtering, control and fault detection problem for various discrete-time nonlinear stochastic systems with randomly occurring incomplete information</li> <li>Investigates several new concepts for randomly occurring phenomena and proposes a new system model to better describe network-induced problems</li> <li>Demonstrates how newly developed techniques can handle emerging mathematical and computational challenges</li> <li>Contains the latest research results</li> </ul>
Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information provides a unified yet neat framework for control/filtering/fault-detection with randomly occurring incomplete information. It is a comprehensive textbook for graduate students and is also a useful practical research reference for engineers dealing with control, filtering and fault detection problems for networked systems.

Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

Gao, Huijun

wiley

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