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Advances in Process Control with Real Applications - Ch. Venkateswarlu

Advances in Process Control with Real Applications

Buch | Softcover
350 Seiten
2025
Elsevier - Health Sciences Division (Verlag)
978-0-443-23857-4 (ISBN)
CHF 329,95 inkl. MwSt
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Advances in Process Control with Real Applications presents advanced models for the control of nonlinear complex processes, including first principle, data driven, and artificial intelligence models, along with inferential state estimation & stochastic and evolutionary optimization techniques. The book highlights the significance and importance of advanced controllers with several real applications concerning chemical and biochemical processes. It covers control approaches such as generalized predictive control (GPC) with and without constraints, linear & nonlinear model predictive control (MPC), dynamic matrix control (DMC), nonlinear control such as generic model control (GMC), and more. Additional sections shine a light on globally linearizing control (GLC) and nonlinear internal model control (NIMC), optimal & optimizing control, inferential control, intelligent control based on fuzzy reasoning, neural network, machine learning, and evolutionary computation.

Dr. Ch. Venkateswarlu M.Tech., Ph. D, has formerly worked as Scientist, Senior Principal Scientist and Chief Scientist at Indian Institute of Chemical Technology (IICT), Hyderabad, a premier research and development (R&D) institute of Council of Scientific and Industrial Research (CSIR), India. Later, he worked as Director R&D at BV Raju Institute of Technology (BVRIT), Narsapur, Greater Hyderabad. Prior to Director R&D at BVRIT, he worked as Professor, Principal and Head of Chemical Engineering Department of the same institute. He did his graduation from Andhra University as well as from Indian Institute of Chemical Engineers, and post-graduation and Ph. D in Chemical Engineering from Osmania University, Hyderabad, India. He holds 35 years R&D and industry experience along with 20 years teaching experience. His research interests lie in the areas of conventional process control & advanced process control, dynamic process modelling & simulation, process identification & dynamic optimization, process monitoring & fault diagnosis, state estimation & soft sensing, applied engineering mathematics & evolutionary computing, artificial intelligence & expert systems, and bioprocess engineering & bio-informatics. He published more than 120 research papers in peer journals of repute along with few international and national proceeding publications. He is also credited with 150 technical paper presentations and invited lectures. He authored two books published by Elsevier along with few book chapters. He is also in editorial boards of few international journals. He has executed several R&D projects sponsored by DST and Industry. He is a reviewer of several international research journals and many national and international research project proposals. He has guided several postgraduate and Ph. D students. He served as a long-term guest faculty for premier institutes like Bhaba Atomic Research Centre Scientific Officers Training, BITS Pilani MS (off-campus) and IICT-CDAC Bioinformatics Programs. He is a Fellow of Andhra Pradesh Akademi of Sciences and Telangana State Academy of Sciences.

1. Advanced process control & its significance 2. Types of models for advanced controllers 3. Role of state estimation in advanced process control 4. Significance of stochastic and evolutionary methods in advanced process control 5. Advanced process control algorithms 6. Applications of generalized predictive control 7. Applications of linear model predictive control to nonlinear systems 8. Applications of nonlinear model predictive control 9. Applications of generic model control 10. Applications of globally linearizing control 11. Applications of nonlinear internal model control 12. Applications of optimal control 13. Applications of optimizing control 14. Applications of inferential control 15. Applications of fuzzy logic control 16. Applications of neural network control 17. Applications of radial basis function network control 18. Nonlinear process control based on evolutionary and stochastic optimizers 19. Future trends and challenges

Erscheint lt. Verlag 1.1.2025
Verlagsort Philadelphia
Sprache englisch
Maße 191 x 235 mm
Themenwelt Naturwissenschaften Chemie Technische Chemie
Technik Umwelttechnik / Biotechnologie
ISBN-10 0-443-23857-X / 044323857X
ISBN-13 978-0-443-23857-4 / 9780443238574
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