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Robustness Issues in Fault Diagnosis and Fault Tolerant Control Journal of Control Science and Engineering Robustness Issues in Fault Diagnosis and Fault Tolerant Control Guest Editors: Jakob Stoustrup and Kemin Zhou Robustness Issues in Fault Diagnosis and Fault Tolerant Control Journal of Control Science and Engineering Robustness Issues in Fault Diagnosis and Fault Tolerant Control Guest Editors: Jakob Stoustrup and Kemin Zhou Copyright © 2008 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in volume 2008 of “Journal of Control Science and Engineering.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editor-in-Chief Jie Chen, University of California, USA Associate Editors Evgeny I. Veremey, Russia Shinji Hara, Japan Joe Qin, USA V. Balakrishnan, USA Jie Huang, China R. Salvador Sanchez´ Pena,˜ Spain Amit Bhaya, Brazil Pablo Iglesias, USA Sigurd Skogestad, Norway Benoit Boulet, Canada Vladimir Kharitonov, Mexico Jakob Stoustrup, Denmark Tongwen Chen, Canada Derong Liu, USA Jing Sun, USA Guanrong Chen, Hong Kong Tomas McKelvey, Sweden Zoltan Szabo, Hungary Ben M. Chen, Singapore Kevin Moore, USA Onur Toker, Turkey EdwinK.P.Chong,USA Silviu Niculescu, France XiaohuaXia,SouthAfrica Nicola Elia, USA Brett Martin Ninness, Australia George G. Yin, USA Andrea Garulli, Italy Yoshito Ohta, Japan Li Yu, China Juan Gomez, Argentina Hitay Ozbay, Turkey Lei Guo, China Ron J. Patton, UK Contents Robustness Issues in Fault Diagnosis and Fault Tolerant Control, Jakob Stoustrup and Kemin Zhou Volume 2008, Article ID 251973, 2 pages On Fault Detection in Linear Discrete-Time, Periodic, and Sampled-Data Systems, P. Zhang and S. X. Ding Volume 2008, Article ID 849546, 18 pages Optimal Robust Fault Detection for Linear Discrete Time Systems, Nike Liu and Kemin Zhou Volume 2008, Article ID 829459, 16 pages Computation of a Reference Model for Robust Fault Detection and Isolation Residual Generation, Emmanuel Mazars, Imad M. Jaimoukha, and Zhenhai Li Volume 2008, Article ID 790893, 12 pages Fault Detection, Isolation, and Accommodation for LTI Systems Based on GIMC Structure, D. U. Campos-Delgado, E. Palacios, and D. R. Espinoza-Trejo Volume 2008, Article ID 853275, 15 pages A Method for Designing Fault Diagnosis Filters for LPV Polytopic Systems,SylvainGrenaille, David Henry, and Ali Zolghadri Volume 2008, Article ID 231697, 11 pages Design and Assessment of a Multiple Sensor Fault Tolerant Robust Control System, S. S. Yang and J. Chen Volume 2008, Article ID 152030, 10 pages Design and Analysis of Robust Fault Diagnosis Schemes for a Simulated Aircraft Model, M. Benini, M. Bonfe,` P. Castaldi, W. Geri, and S. Simani Volume 2008, Article ID 274313, 18 pages Stability of Discrete Systems Controlled in the Presence of Intermittent Sensor Faults, Rui Vilela Dion´ısio and Joao˜ M. Lemos Volume 2008, Article ID 523749, 11 pages Actuator Fault Diagnosis with Robustness to Sensor Distortion, Qinghua Zhang Volume 2008, Article ID 723292, 7 pages Stability Guaranteed Active Fault-Tolerant Control of Networked Control Systems, Shanbin Li, Dominique Sauter, Christophe Aubrun, and Joseph Yame´ Volume 2008, Article ID 189064, 9 pages Reliability Monitoring of Fault Tolerant Control Systems with Demonstration on an Aircraft Model, Hongbin Li, Qing Zhao, and Zhenyu Yang Volume 2008, Article ID 265189, 10 pages Fault-Tolerant Control of a Distributed Database System, N. Eva Wu, Matthew C. Ruschmann, and Mark H. Linderman Volume 2008, Article ID 310652, 13 pages Hindawi Publishing Corporation Journal of Control Science and Engineering Volume 2008, Article ID 251973, 2 pages doi:10.1155/2008/251973 Editorial Robustness Issues in Fault Diagnosis and Fault Tolerant Control Jakob Stoustrup1 and Kemin Zhou2 1 Section for Automation and Control, Department of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C, 9220 Aalborg, Denmark 2 Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA Correspondence should be addressed to Jakob Stoustrup, [email protected] Received 24 January 2008; Accepted 24 January 2008 Copyright © 2008 J. Stoustrup and K. Zhou. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fault diagnosis and fault tolerant control have become criti- The robust fault detection and isolation problem is stud- cally important in modern complex systems such as aircrafts ied in the paper by E. Mazars et al., where an H criterion is and petrochemical plants. Since no system in the real world used, giving rise to a quadratic matrix inequality problem. A can work perfectly at all time under all conditions, it is crucial jet engine example is provided. to be able to detect and identify the possible faults in the sys- D. Campos-Delgado et al. suggest an active fault-tolerant tem as early as possible so that measures can be taken to pre- control, and a design strategy is provided, which takes model vent significant performance degradation or damages to the uncertainty into account. The methods are illustrated for a system. Fault diagnosis is not relevant only for safety critical DC motor example. systems, but also for a significant number of systems, where Systems that can be described by linear parameter vary- availability is a major issue. ing models are considered by S. Grenaille et al. where robust- In the past twenty some years, fault diagnosis of dynamic ness constraints are included in the design of fault detection systems has received much attention and significant progress and isolation filters. An illustration of the methods is given has been made in searching for model-based diagnosis tech- in terms of an application to a nuclear power plant. niques. Many techniques have been developed for fault detec- A method for design of a diagnosis and a fault tolerant tion and fault tolerant control. However, the issue of robust- control system using an integrated approach is presented in ness of fault detection and fault tolerant control has not been the paper by S. Yang and J. Chen. The design is illustrated for sufficiently addressed. Since disturbances, noise, and model a double inverted pendulum system. uncertainties are unavoidable for any practical system, it is essential in the design of any fault diagnosis/fault tolerant M. Benini et al. present both a linear and a nonlinear fault control system to take these effects into consideration, so that detection and isolation scheme. This paper focuses on robust fault diagnosis/tolerant control can be done reliably and ro- fault diagnosis for an aircraft model, and has extensive simu- bustly. The objective of this special issue is to report some lations. most recent developments and contributions in this direc- The fault tolerant scheme proposed by R. Dionisio and tion. J. Lemos is capable of stabilizing systems with intermittent The special issue is initiated by a paper by P. Zhang and sensor faults. The approach is based on reconstructing the S. Ding, which gives a review of standard fault detection for- feedback signal, using a switching strategy where a model is mulations, focusing on robustness issues for model-based di- used in the intermittent periods. agnosis systems. A design method for actuator fault diagnosis is proposed N. Liu and K. Zhou then study a number of robust fault in the paper by Q. Zhang, where the focus is to obtain robust- detection problems, such as H/H, H2/H,andH/H prob- ness with respect to nonlinear sensor distortion. A numerical lems, and it is shown that these problems share the same op- exampleisgiven. timal filters. The optimal filters are designed by solving an The problem of designing fault tolerant control systems algebraic Riccati equation. for networked systems with actuator faults is treated in the 2 Journal of Control Science and Engineering paper by Li et al. The proposed design method is demon- strated by a numerical example. The notion of a reliability index is introduced by H. Li et al., for monitoring fault tolerant control systems. The re- liability is evaluated based on semi-Markov models, and the approach is applied to an aircraft model. The final paper of the special issue by N. Wu et al. ad- dresses fault tolerant control of a distributed database system. The fault tolerant design relies on data redundancy in the partitioned system architecture. Robustness is represented by the introduction of additional states modeling delays and de- cision errors. The design is based on solving Markovian de- cision problems. Jakob Stoustrup Kemin Zhou Hindawi Publishing Corporation Journal of Control Science and Engineering Volume 2008, Article ID 849546, 18 pages doi:10.1155/2008/849546 Review Article On Fault Detection in Linear Discrete-Time, Periodic, and Sampled-Data Systems P.Zhang and S. X. Ding Institute for Automatic Control and Complex Systems, Faculty of Engineering, University of Duisburg-Essen, Bismarckstrasse 81 BB, 47057 Duisburg, Germany Correspondence should be addressed to S. X. Ding, [email protected] Received 30 April 2007; Accepted 4 October 2007 Recommended by Kemin Zhou This paper gives a review of some standard fault-detection (FD) problem formulations in discrete linear time-invariant systems and the available solutions. Based on it, recent development of FD in periodic systems and sampled-data
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