LEADER 05108nam 22006975 450 001 9910254226403321 005 20200629211007.0 010 $a3-319-32324-5 024 7 $a10.1007/978-3-319-32324-4 035 $a(CKB)3710000000717987 035 $a(DE-He213)978-3-319-32324-4 035 $a(MiAaPQ)EBC4533807 035 $a(PPN)194077276 035 $a(EXLCZ)993710000000717987 100 $a20160527d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRobust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® /$fby Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIII, 224 p. 44 illus., 42 illus. in color.) 225 1 $aAdvances in Industrial Control,$x1430-9491 311 $a3-319-32323-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- 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. 330 $aThis book introduces several observer-based methods, including: ? the sliding-mode observer ? the adaptive observer ? the unknown-input observer and ? the descriptor observer method for the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H„ control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other. Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. 410 0$aAdvances in Industrial Control,$x1430-9491 606 $aAutomatic control 606 $aChemical engineering 606 $aAerospace engineering 606 $aAstronautics 606 $aRobotics 606 $aAutomation 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aIndustrial Chemistry/Chemical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C27000 606 $aAerospace Technology and Astronautics$3https://scigraph.springernature.com/ontologies/product-market-codes/T17050 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 615 0$aAutomatic control. 615 0$aChemical engineering. 615 0$aAerospace engineering. 615 0$aAstronautics. 615 0$aRobotics. 615 0$aAutomation. 615 14$aControl and Systems Theory. 615 24$aIndustrial Chemistry/Chemical Engineering. 615 24$aAerospace Technology and Astronautics. 615 24$aRobotics and Automation. 676 $a620.0044 700 $aZhang$b Jian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0652044 702 $aSwain$b Akshya Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aNguang$b Sing Kiong$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254226403321 996 $aRobust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®$92514728 997 $aUNINA