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 Clinical Cases in Early Orthodontic Treatment by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Tissue Engineering for the Heart by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Methodological Advances in Research on Emotion and Education by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Readings in Numanities by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book The SAGES Manual of Robotic Surgery by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Dictionary of Environmental Engineering and Wastewater Treatment by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Resources for Teaching Mindfulness by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Design of Digital Chaotic Systems Updated by Random Iterations by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Stability of Dynamical Systems by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Pronunciation Learning Strategies and Language Anxiety by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Navigating the Energy Maze by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Network Coding and Subspace Designs by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Innovation Networks for Regional Development by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Topological Methods in Data Analysis and Visualization IV by Jing Zhu, Tian Qi, Dan Ma, Jie Chen
Cover of the book Engineering Applications of Neural Networks 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