DocumentCode
174175
Title
Networked unknown input observer analysis and design for time-delay systems
Author
Taha, A.F. ; Elmahdi, A. ; Panchal, J.H. ; Dengfeng Sun
Author_Institution
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
2014
fDate
5-8 Oct. 2014
Firstpage
3278
Lastpage
3283
Abstract
The insertion of communication networks in the feedback loops of control systems is a defining feature of modern control systems. These systems are often subject to unknown inputs in a form of disturbances, perturbations, or attacks. The objective of this paper is to analyze and design an observer for networked systems with unknown disturbances and inputs. The network effect can be viewed as either a perturbation or time-delay to the exchanged signals. In this paper, we focus on the time-delay representation of the network. First, we review an Unknown Input Observer (UIO) design for non-networked system from the UIO literature. Second, we derive the dynamics of the UlO-based NCS, also referred to as Networked Unknown Input Observer (NetUIO). Third, we design the NetUIO such that the effect of higher delay order terms are nullified, assuring that the effect of the unknown inputs on the plant state estimation is minimized. Fourth, we derive a bound on the maximum allowable time-delay for the NetUIO. Finally, a numerical example is shown to illustrate the usefulness of the proposed model.
Keywords
delays; feedback; networked control systems; state estimation; NetUIO; NCS; communication networks; feedback loops; maximum allowable time delay; networked control systems; networked unknown input observer analysis; nonnetworked system; plant state estimation; time-delay representation; time-delay systems; Delays; Educational institutions; Observers; Net UIO; Networked Control Systems; Time-Delay Systems; Unknown Input Observers;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location
San Diego, CA
Type
conf
DOI
10.1109/SMC.2014.6974433
Filename
6974433
Link To Document