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By Dr. Shankar Narasimhan Ph.D. (Ch.E.)
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This is a wonderful e-book at the topic - the authors have lined all of the bases. if you would like a ebook on facts reconciliation and gross errors detection, this can be as whole and thorough a ebook as i will think. - Les A. Kane, Editor, complex technique keep watch over and data platforms
Content:
Acknowledgments
, Pages xiii-xiv
Preface
, Pages xv-xvii
1 - the significance of information Reconciliation and Gross errors Detection
, Pages 1-31
2 - size blunders and blunder relief Techniques
, Pages 32-58
3 - Linear Steady-State facts Reconciliation
, Pages 59-84
4 - Steady-State facts Reconciliation for Bilinear Systems
, Pages 85-118
5 - Nonlinear Steady-State information Reconciliation
, Pages 119-141
6 - info Reconciliation in Dynamic Systems
, Pages 142-173
7 - creation to Gross mistakes Detection
, Pages 174-225
8 - a number of Gross mistakes identity recommendations for Steady-State Processes
, Pages 226-280
9 - Gross blunders Detection in Linear Dynamic Systems
, Pages 281-299
10 - layout of Sensor Networks
, Pages 300-326
11 - commercial purposes of information Reconciliation and Gross blunders Detection Technologies
, Pages 327-372
Appendix A - simple strategies in Linear Algebra
, Pages 373-377
Appendix B - Graph conception Fundamentals
, Pages 378-383
Appendix C - basics of chance and Statistics
, Pages 384-393
Index
, Pages 394-402
Author Index
, Pages 403-405
The Authors
, Page 406
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