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010    |z  2012950089 
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020    9781118577226 
020    1118577221 
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082 04 003.75 
082 04 003.75|223 
099    eBook O’Reilly for Public Libraries 
100 1  Chadli, Mohammed. 
245 10 Multiple models approach in automation :|btakagi-sugeno 
       fuzzy systems /|cMohammed Chadli, Pierre Borne ; series 
       editor, Bernard Dubuisson.|h[O'Reilly electronic resource]
260    London :|bISTE ;|aHoboken, N.J. :|bJohn Wiley and Sons Inc,
       |c2013. 
300    1 online resource (xv, 186 pages). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  Automation-control and industrial engineering series 
504    Includes bibliographical references and index. 
505 0  Title Page; Contents; Notations; Introduction; Chapter 1. 
       Multiple Model Representation; 1.1. Introduction; 1.2. 
       Techniques for obtaining multiple models; 1.2.1. 
       Construction of multiple models by identification; 1.2.2. 
       Multiple model construction by linearization; 1.2.3. 
       Multiple model construction by mathematical 
       transformation; 1.2.4. Multiple model representation using
       the neural approach; 1.3. Analysis and synthesis tools; 
       1.3.1. Lyapunov approach; 1.3.2. Numeric tools: linear 
       matrix inequalities; 1.3.3. Multiple model control 
       techniques 
505 8  Chapter 2. Stability of Continuous Multiple Models2.1. 
       Introduction; 2.2. Stability analysis; 2.2.1. Exponential 
       stability; 2.3. Relaxed stability; 2.4. Example; 2.5. 
       Robust stability; 2.5.1. Norm-bounded uncertainties; 
       2.5.2. Structured parametric uncertainties; 2.5.3. 
       Analysis of nominal stability; 2.5.4. Analysis of robust 
       stability; 2.6. Conclusion; Chapter 3. Multiple Model 
       State Estimation; 3.1. Introduction; 3.2. Synthesis of 
       multiple observers; 3.2.1. Linearization; 3.2.2. Pole 
       placement; 3.2.3. Application: asynchronous machine; 
       3.2.4. Synthesis of multiple observers 
505 8  4.3. Observer-based controller4.3.1. Unmeasurable decision
       variables; 4.4. Static output feedback control; 4.4.1. 
       Pole placement; 4.5. Conclusion; Chapter 5. Robust 
       Stabilization of Multiple Models; 5.1. Introduction; 5.2. 
       State feedback control.; 5.2.1. Norm-bounded 
       uncertainties; 5.2.2. Interval uncertainties; 5.3. Output 
       feedback control; 5.3.1. Norm-bounded uncertainties; 
       5.3.2. Interval uncertainties; 5.4. Observer-based 
       control; 5.5. Conclusion; Conclusion; APPENDICES; Appendix
       1: LMI Regions; A1.1. Definition of an LMI region; A1.2. 
       Interesting LMI region examples 
520    Much work on analysis and synthesis problems relating to 
       the multiple model approach has already been undertaken. 
       This has been motivated by the desire to establish the 
       problems of control law synthesis and full state 
       estimation in numerical terms.In recent years, a general 
       approach based on multiple LTI models (linear or affine) 
       around various function points has been proposed. This so-
       called multiple model approach is a convex polytopic 
       representation, which can be obtained either directly from
       a nonlinear mathematical model, through mathematical 
       transformation or through linearizat. 
546    English. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Automation. 
650  0 Fuzzy systems. 
650  6 Automatisation. 
650  6 Systèmes flous. 
650  7 automation.|2aat 
650  7 Automation|2fast 
650  7 Fuzzy systems|2fast 
700 1  Borne, Pierre. 
700 1  Dubuisson, Bernard. 
776 08 |iPrint version:|aChadli, Mohammed.|tMultiple models 
       approach in automation.|dLondon : ISTE ; Hoboken, N.J. : 
       John Wiley and Sons Inc, 2013|w(DLC)  2012950089 
830  0 Automation-control and industrial engineering series. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781118577226/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    ebrary|bEBRY|nebr10657634 
994    92|bJFN