NDLI: Stabilisation of networked delta operator systems with uncertainty

Content Provider	IET Digital Library
Author	Li, Hongbo Li, Zhiwei Yang, Hongjiu Zhang, Yu Sun, Fuchun
Abstract	This study is concerned with the robust stabilisation problem of networked delta operator systems with time delays and packet losses. To avoid the inherent drawback of the standard shift-domain model at high sampling rates, the uncertain delta operator model is employed to describe the plant of networked control systems. Under this framework, by guaranteeing the deceasement of Lyapunov functional at each updating period rather than at each sampling period, a sufficient robust stability condition in terms of linear matrix inequalities is presented. Based on this criterion, the robust stabilising controller design method is also provided. The results acquired in this study are network parameters dependent in the sense that they depend on not only the bounds of time delays but also the bound of maximum consecutive packet losses. Numerical examples are given to show the effectiveness and potential of the developed theoretical results.
Starting Page	2289
Ending Page	2296
Page Count	8
ISSN	17518644
Volume Number	8
e-ISSN	17518652
Issue Number	Issue 18, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/8/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.0159
Journal	IET Control Theory & Applications
Publisher Date	2014-08-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Control System Analysis Control System Synthesis Delay Distributed Parameter Control System Linear Matrix Inequalities Lyapunov Functional Lyapunov Method Networked Control System Networked Delta Operator System Packet Loss Robust Control Robust Stabilisation Problem Robust Stabilising Controller Design Method Robust Stability Sampling Period Stability in Control Theory Synthesis Method Time Delay Uncertain Delta Operator Model Uncertain System Uncertainty
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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