Intelligent Estimation: A Soft Computing Paradigm
Autor Jitendra R. Raol, Sara M. Georgeen Limba Engleză Hardback – 20 iul 2026
Offering a thorough understanding of soft computing-based estimation concepts and theory, the book discusses a modeling-control-system approach with numerous practical applications in solving mathematical modeling problems for industrial and aerospace engineering systems. It delves into theory, concepts and various ramifications of neural networks, fuzzy logic, and genetic algorithms for modeling, system identification, filtering, and estimation.
This book is intended for upper-level undergraduate and graduate engineering students studying soft computing, intelligent systems, and advanced control systems in industry applications.
Instructors will be able to utilize a Solutions Manual and Figure Slides for their course.
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Specificații
ISBN-13: 9781041018230
ISBN-10: 1041018231
Pagini: 376
Ilustrații: 108
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1041018231
Pagini: 376
Ilustrații: 108
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Postgraduate and Undergraduate AdvancedCuprins
1. Introduction: Intelligent Estimation. 2. Concepts and Theory of Artificial Neural Networks. 3. System Identification. 4. Filtering and Parameter Estimation. 5. Fuzzy Logic Based Approaches. 6. System Identification and Estimation with Fuzzy Logic/System. 7. Concept and Theory of Genetic Algorithms (GAs). 8. Estimation with Genetic Algorithms (GAs). 9. Hybrid Methods-NN-FL-GA Triad Paradigm. Appendix A. Key Theorems in System Identification, Filtering, and State & Parameter Estimation. Appendix B. Theorem in Soft Computing. Appendix C. Procedure of Building an AI System.
Notă biografică
Jitendra R. Raol received his B.E. and M.E. degrees in electrical engineering from M.S. University (MSU) of Baroda, Vadodara, in 1971 and 1973, respectively, and a Ph.D. (in Electrical & Computer engineering) from McMaster University, Hamilton, Canada, in 1986. He joined the National Aeronautical Laboratory (NAL) in 1975. At CSIR-NAL, he was involved in the activities on human pilot modeling in fix- and motion-based research flight simulators. He re-joined NAL in 1986 and retired in July 2007 as Scientist-G (and Head of Flight Mechanics and Control division at CSIR-NAL). He was a Fellow of the IEE/IET and a senior member of the IEEE. He is a life-fellow of the Aeronautical Society of India and a life member of the Systems Society of India. Dr. Raol has published nearly 160 research papers and written several books and numerous technical reports. His main research interests include data fusion, system identification, state/parameter estimation, flight mechanics-flight data analysis, H-infinity filtering, nonlinear filtering, artificial neural networks, fuzzy logic systems, genetic algorithms, soft technologies for robotics, and data-systems analytics (DaSyA).
Sara Mohan George holds a B. Tech in Electronics and Communication from Mahatma Gandhi University, Kerala, India; M. Tech and Ph. D. degrees from Visvesvaraya Technological University, Karnataka, India. She is currently an Assistant Professor in Ramaiah Institute of Technology, Bangalore, India. Her research interests include nonlinear filtering, signal processing and embedded system design. She has published nearly 20 technical papers in various conferences and journals. She is also the co-author of Advances in State and Parameter Estimation: Theory and Practice (CRC Press 2025).
Sara Mohan George holds a B. Tech in Electronics and Communication from Mahatma Gandhi University, Kerala, India; M. Tech and Ph. D. degrees from Visvesvaraya Technological University, Karnataka, India. She is currently an Assistant Professor in Ramaiah Institute of Technology, Bangalore, India. Her research interests include nonlinear filtering, signal processing and embedded system design. She has published nearly 20 technical papers in various conferences and journals. She is also the co-author of Advances in State and Parameter Estimation: Theory and Practice (CRC Press 2025).
Descriere
Intelligent Estimation presents a unified treatment for a new paradigm of soft computing with AI-based approaches as applicable to system identification, parameter estimation, and filtering: Neuro-Fuzzy-GA Based System Identification, Parameter Estimation, and Filtering, known succinctly as Intelligent Estimation (IE).