Holdings: Robust observer-based fault diagnosis for nonlinear systems using MATLAB

Robust observer-based fault diagnosis for nonlinear systems using MATLAB:

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Bibliographic Details
Main Author:	Zhang, Jian (Author)
Format:	Electronic eBook
Language:	English
Published:	[Cham] Springer 2016
Series:	Advances in industrial control
Subjects:	Engineering Chemical engineering Aerospace engineering Astronautics Control engineering Robotics Automation Control Industrial Chemistry/Chemical Engineering Aerospace Technology and Astronautics Robotics and Automation Ingenieurwissenschaften
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (xiii, 224 Seiten)
ISBN:	9783319323244
DOI:	10.1007/978-3-319-32324-4

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adam_text	ROBUST OBSERVER-BASED FAULT DIAGNOSIS FOR NONLINEAR SYSTEMS USING MATLAB / ZHANG, JIAN : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION DETECTION AND ISOLATION OF ACTUATOR FAULTS DETECTION AND ISOLATION OF SENSOR FAULTS ROBUST ESTIMATION OF ACTUATOR FAULTS ROBUST ESTIMATION OF SENSOR FAULTS SIMULTANEOUS ESTIMATION OF ACTUATOR AND SENSOR FAULTS USING SMO AND AO SIMULTANEOUS ESTIMATION OF ACTUATOR AND SENSOR FAULTS USING SMO AND UIO SIMULTANEOUS ESTIMATION OF ACTUATOR AND SENSOR FAULTS FOR DESCRIPTOR SYSTEMS CONCLUSIONS AND FUTURE WORK APPENDICES: SOLVING LINEAR MATRIX INEQUALITY (LMI) PROBLEMS; PROOF OF LEMMA 3.1 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. ROBUST OBSERVER-BASED FAULT DIAGNOSIS FOR NONLINEAR SYSTEMS USING MATLAB / ZHANG, JIAN : 2016 ABSTRACT / INHALTSTEXT THIS BOOK INTRODUCES SEVERAL OBSERVER-BASED METHODS, INCLUDING: • THE SLIDING-MODE OBSERVER • THE ADAPTIVE OBSERVER • THE UNKNOWN-INPUT OBSERVER AND • THE DESCRIPTOR OBSERVER METHOD FOR THE PROBLEM OF FAULT DETECTION, ISOLATION AND ESTIMATION, ALLOWING READERS TO COMPARE AND CONTRAST THE DIFFERENT APPROACHES. THE AUTHORS PRESENT BASIC MATERIAL ON LYAPUNOV STABILITY THEORY, H CONTROL THEORY, SLIDING-MODE CONTROL THEORY AND LINEAR MATRIX INEQUALITY PROBLEMS IN A SELF-CONTAINED AND STEP-BY-STEP MANNER. DETAILED AND RIGOROUS MATHEMATICAL PROOFS ARE PROVIDED FOR ALL THE RESULTS DEVELOPED IN THE TEXT SO THAT READERS CAN QUICKLY GAIN A GOOD UNDERSTANDING OF THE MATERIAL. MATLAB AND SIMULINK CODES FOR ALL THE EXAMPLES, WHICH CAN BE DOWNLOADED FROM HTTP://EXTRAS.SPRINGER.COM, ENABLE STUDENTS TO FOLLOW THE METHODS AND ILLUSTRATIVE EXAMPLES EASILY. THE SYSTEMS USED IN THE EXAMPLES MAKE THE BOOK HIGHLY RELEVANT TO REAL-WORLD PROBLEMS IN INDUSTRIAL CONTROL ENGINEERING AND INCLUDE A SEVENTH-ORDER AIRCRAFT MODEL, A SINGLE-LINK FLEXIBLE JOINT ROBOT ARM AND A SATELLITE CONTROLLER. TO HELP READERS QUICKLY FIND THE INFORMATION THEY NEED AND TO IMPROVE READABILITY, THE INDIVIDUAL CHAPTERS ARE WRITTEN SO AS TO BE SEMI-INDEPENDENT OF EACH OTHER. ROBUST OBERSERVER-BASED FAULT DIAGNOSIS FOR NONLINEAR SYSTEMS USING MATLAB IS OF INTEREST TO PROCESS, AEROSPACE, ROBOTICS AND CONTROL ENGINEERS, ENGINEERING STUDENTS AND RESEARCHERS WITH A CONTROL ENGINEERING BACKGROUND. ADVANCES IN INDUSTRIAL CONTROL AIMS TO REPORT AND ENCOURAGE THE TRANSFER OF TECHNOLOGY IN CONTROL ENGINEERING. THE RAPID DEVELOPMENT OF CONTROL TECHNOLOGY HAS AN IMPACT ON ALL AREAS OF THE CONTROL DISCIPLINE. THE SERIES OFFERS AN OPPORTUNITY FOR RESEARCHERS TO PRESENT AN EXTENDED EXPOSITION OF NEW WORK IN ALL ASPECTS OF INDUSTRIAL CONTROL DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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author	Zhang, Jian
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series2	Advances in industrial control
spellingShingle	Zhang, Jian Robust observer-based fault diagnosis for nonlinear systems using MATLAB Engineering Chemical engineering Aerospace engineering Astronautics Control engineering Robotics Automation Control Industrial Chemistry/Chemical Engineering Aerospace Technology and Astronautics Robotics and Automation Ingenieurwissenschaften
title	Robust observer-based fault diagnosis for nonlinear systems using MATLAB
title_auth	Robust observer-based fault diagnosis for nonlinear systems using MATLAB
title_exact_search	Robust observer-based fault diagnosis for nonlinear systems using MATLAB
title_full	Robust observer-based fault diagnosis for nonlinear systems using MATLAB Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
title_fullStr	Robust observer-based fault diagnosis for nonlinear systems using MATLAB Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
title_full_unstemmed	Robust observer-based fault diagnosis for nonlinear systems using MATLAB Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
title_short	Robust observer-based fault diagnosis for nonlinear systems using MATLAB
title_sort	robust observer based fault diagnosis for nonlinear systems using matlab
topic	Engineering Chemical engineering Aerospace engineering Astronautics Control engineering Robotics Automation Control Industrial Chemistry/Chemical Engineering Aerospace Technology and Astronautics Robotics and Automation Ingenieurwissenschaften
topic_facet	Engineering Chemical engineering Aerospace engineering Astronautics Control engineering Robotics Automation Control Industrial Chemistry/Chemical Engineering Aerospace Technology and Astronautics Robotics and Automation Ingenieurwissenschaften
url	https://doi.org/10.1007/978-3-319-32324-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994188&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028994188&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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