Nonlinear control of dynamic networks

Tengfei Liu, Zhong-Ping Jiang, David J. Hill

Research output: Book/ReportBook

Abstract

Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and networking issues without nontrivial modifications. For example, small quantization errors may cause the performance of a "well-designed" nonlinear control system to deteriorate. Motivated by the need for new tools to solve complex problems resulting from smart power grids, biological processes, distributed computing networks, transportation networks, robotic systems, and other cutting-edge control applications, Nonlinear Control of Dynamic Networks tackles newly arising theoretical and real-world challenges for stability analysis and control design, including nonlinearity, dimensionality, uncertainty, and information constraints as well as behaviors stemming from quantization, data-sampling, and impulses. Delivering a systematic review of the nonlinear small-gain theorems, the text: Supplies novel cyclic-small-gain theorems for large-scale nonlinear dynamic networks Offers a cyclic-small-gain framework for nonlinear control with static or dynamic quantization Contains a combination of cyclic-small-gain and set-valued map designs for robust control of nonlinear uncertain systems subject to sensor noise Presents a cyclic-small-gain result in directed graphs and distributed control of nonlinear multi-agent systems with fixed or dynamically changing topology Based on the authors’ recent research, Nonlinear Control of Dynamic Networks provides a unified framework for robust, quantized, and distributed control under information constraints. Suggesting avenues for further exploration, the book encourages readers to take into consideration more communication and networking issues in control designs to better handle the arising challenges.

Original languageEnglish (US)
PublisherCRC Press
Number of pages321
ISBN (Electronic)9781466584600
ISBN (Print)9781466584594
DOIs
StatePublished - Jan 1 2014

Fingerprint

Nonlinear control systems
Smart power grids
Uncertain systems
Communication
Directed graphs
Distributed computer systems
Robust control
Multi agent systems
Robotics
Topology
Sampling
Sensors
Uncertainty

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Nonlinear control of dynamic networks. / Liu, Tengfei; Jiang, Zhong-Ping; Hill, David J.

CRC Press, 2014. 321 p.

Research output: Book/ReportBook

Liu, Tengfei ; Jiang, Zhong-Ping ; Hill, David J. / Nonlinear control of dynamic networks. CRC Press, 2014. 321 p.
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