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001			85909
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008			160527s2016 gw | s |||| 0|eng d
020			_a9783319323244
040			_aES-MaUEC
050		4	_aTA169.6 _b.Z43 2016 EB
650		7	_aIngeniería civil
082	0	4	_a629.8
100	1		_aZhang, Jian. _932630 _0comprobar BNE20011575895
245	1	0	_aRobust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® _cby Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIII, 224 páginas) _b44 ilustraciones, 42 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aAdvances in Industrial Control _x1430-9491
505	0		_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.
520			_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.
650	0	4	_aIngeniería química _9116488
700	1		_aNguang, Sing Kiong. _999223 _0Local
700	1		_aSwain, Akshya Kumar. _999222 _0Local
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-32324-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319323244
907			_a.b12951870 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aEBOOK EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i1161464x _z30-06-17
988	0	0	_aEBOOK, EBSPRINGER
998			_b09/2018 _dz _ea _zSI
999			_c85909 _d85909 _x1