£64.58

Springer Estimation and Control for Networked Systems with Packet Losses without Acknowledgement: 77 (Studies in Systems, Decision and Control, 77)

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Description

Product Description This book discusses recent advances in the estimation and control of networked systems with unacknowledged packet losses: systems usually known as user-datagram-protocol-like. It presents both the optimal and sub-optimal solutions in the form of algorithms, which are designed to be implemented easily by computer routines. It also provides MATLAB® routines for the key algorithms. It shows how these methods and algorithms can solve estimation and control problems effectively, and identifies potential research directions and ideas to help readers grasp the field more easily. The novel auxiliary estimator method, which is able to deal with estimators that consist of exponentially increasing terms, is developed to analyze the stability and convergence of the optimal estimator. The book also explores the structure and solvability of the optimal control, i.e. linear quadratic Gaussian control. It develops various sub-optimal but efficient solutions for estimation and control for industrial and practical applications, and analyzes their stability and performance. This is a valuable resource for researchers studying networked control systems, especially those related to non-TCP-like networks. The practicality of the ideas included makes it useful for engineers working with networked control. From the Back Cover This book discusses recent advances in the estimation and control of networked systems with unacknowledged packet losses: systems usually known as user-datagram-protocol-like. It presents both the optimal and sub-optimal solutions in the form of algorithms, which are designed to be implemented easily by computer routines. It also provides MATLAB® routines for the key algorithms. It shows how these methods and algorithms can solve estimation and control problems effectively, and identifies potential research directions and ideas to help readers grasp the field more easily. The novel auxiliary estimator method, which is able to deal with estimators that consist of exponentially increasing terms, is developed to analyze the stability and convergence of the optimal estimator. The book also explores the structure and solvability of the optimal control, i.e. linear quadratic Gaussian control. It develops various sub-optimal but efficient solutions for estimation and control for industrial and practical applications, and analyzes their stability and performance. This is a valuable resource for researchers studying networked control systems, especially those related to non-TCP-like networks. The practicality of the ideas included makes it useful for engineers working with networked control.   About the Author Hong Lin as been awarded the status first of Excellent Student in Zhejiang University and then of Excellent Educator in Concord College Fujian Normal University. He is an active reviewer for many international journals. Hongye Su is the author of 100 journal papers and 8 books. He has undertaken more than ten national funds and state key projects as the principal investigator, including National Outstanding Youth Science Foundation of China, National Natural Science Foundation of China, Teaching and Research Award Program for Outstanding Young Teachers in Higher Education Institutions of MOE, PRC, and projects for National High Technology Research and Development Program of China (863 Program), etc. Peng Shi has actively served in the editorial board of a number of journals, including Automatica, IEEE Transactions on Automatic Control; IEEE Transactions on Fuzzy Systems. He is a Fellow of the Institution of Engineering and Technology, and the Institute of Mathematics and its Applications. He was the Chair of Control Aerospace and Electronic Systems Chapter, IEEE South Australia Section; and now he is Member of College of Expert, Australian Research Council. He serves as an IEEE Systems, Man and Cybernetics Society Distinguished Lecturer for 2016-2017. Zhan Shu is an Associate Edi

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 September 2016
Listed Since
06 July 2016

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No barcode data available

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