Limits of Stability and Stabilization of Time-Delay Systems

A Small-Gain Approach

Nonfiction, Science & Nature, Science, Other Sciences, System Theory, Technology, Automation
Cover of the book Limits of Stability and Stabilization of Time-Delay Systems by Jing Zhu, Tian Qi, Dan Ma, Jie Chen, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jing Zhu, Tian Qi, Dan Ma, Jie Chen ISBN: 9783319736518
Publisher: Springer International Publishing Publication: February 5, 2018
Imprint: Springer Language: English
Author: Jing Zhu, Tian Qi, Dan Ma, Jie Chen
ISBN: 9783319736518
Publisher: Springer International Publishing
Publication: February 5, 2018
Imprint: Springer
Language: English

This authored monograph presents a study on fundamental limits and robustness of stability and stabilization of time-delay systems, with an emphasis on time-varying delay, robust stabilization, and newly emerged areas such as networked control and multi-agent systems. The authors systematically develop an operator-theoretic approach that departs from both the traditional algebraic approach and the currently pervasive LMI solution methods. This approach is built on the classical small-gain theorem, which enables the author to draw upon powerful tools and techniques from robust control theory. The book contains motivating examples and presents mathematical key facts that are required in the subsequent sections. The target audience primarily comprises researchers and professionals in the field of control theory, but the book may also be beneficial for graduate students alike. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This authored monograph presents a study on fundamental limits and robustness of stability and stabilization of time-delay systems, with an emphasis on time-varying delay, robust stabilization, and newly emerged areas such as networked control and multi-agent systems. The authors systematically develop an operator-theoretic approach that departs from both the traditional algebraic approach and the currently pervasive LMI solution methods. This approach is built on the classical small-gain theorem, which enables the author to draw upon powerful tools and techniques from robust control theory. The book contains motivating examples and presents mathematical key facts that are required in the subsequent sections. The target audience primarily comprises researchers and professionals in the field of control theory, but the book may also be beneficial for graduate students alike. 

More books from Springer International Publishing

Cover of the book Mathematics and Its Applications by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Neural Information Processing by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Information Systems Security and Privacy by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Handbook Integrated Care by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Arctic Summer College Yearbook by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Oncoimmunology by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Shaping American Democracy by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Geology of the Nepal Himalaya by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1 by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book STEAM Education by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Analytical Finance: Volume II by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014), Aalborg, Denmark, February 4th - 7th, 2014 by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Wind Driven Doubly Fed Induction Generator by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Anion Exchange Membrane Fuel Cells by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy