Fuzzy Logic, Smart Control, and the Future of Essential Oils
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Home > Computing and Information Technology Books > Computer Science Books > Artificial intelligence > Neural networks and fuzzy systems > Fuzzy Logic, Smart Control, and the Future of Essential Oils: The Science of Aroma(442 Studies in Fuzziness and Soft Computing)
Fuzzy Logic, Smart Control, and the Future of Essential Oils: The Science of Aroma(442 Studies in Fuzziness and Soft Computing)

Fuzzy Logic, Smart Control, and the Future of Essential Oils: The Science of Aroma(442 Studies in Fuzziness and Soft Computing)


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About the Book

This book looks into the modern world of essential oils’ extraction by blending fuzzy logic, intelligent controllers, and real-time process monitoring, which is smarter, greener, and more sustainable in comparison of the traditional methods. The book shows how intelligent PID and fuzzy controllers optimize the distillation processes, increasing oil yield and purity while reducing trial-and-error. This goes beyond theory with live demonstrations of intelligent controllers in essential oil extraction, giving readers practical tools they can apply immediately. It also features a full real-world example on kaffir lime essential oil, including GC-MS analysis, so readers can follow a step-by-step model from raw material to final product. This book merges modern control engineering with the world of essential oils, offering a unique perspective for both engineers and natural product researchers.



Table of Contents:

Essential Oils – Extraction Methods and Challenges.- System Identification and Controller Design: Unlocking Efficiency in Extraction Systems.- Principles and Concepts for Intelligent Process Control.- From Concept to Experiment: Designing and Implementing the Intelligent Extraction Control System.- Decoding the Steam Distillation Process: Prototype, Calibration, and Modeling.- Comparative Simulation of PID, Hybrid Fuzzy-PID, and Self-Tuning Fuzzy-PID Controllers.- Real-Time Validation of PID, Hybrid Fuzzy-PID, and Self-Tuning Fuzzy-PID Controllers.- Extraction of Kaffir Lime Essential Oil using Intelligent Controller.- Final Insights and Future Directions.



About the Author :

Dr. Zakiah Mohd Yusoff is Assoc. Prof. who is currently working at UiTM Shah Alam, Selangor, Malaysia. She received the B.Eng. in electrical engineering and Ph.D. in electrical engineering from UiTM Shah Alam, in 2009 and 2014, respectively. In May 2014, she joined UiTM Pasir Gudang as a teaching staff. Her major interests include process control, machine learning, system identification, internet of thing (IoT), and essential oil extraction system.

Dr. Zuraida Muhammad is a senior lecturer who is currently working at UITM Cawangan Pulau Pinang. She received the B.Eng. in electrical engineering and Ph.D. in electrical engineering from UITM Shah Alam, in 2009 and 2015, respectively. In February 2015, she joined UITM Pulau Pinang as a teaching staff. Her research interests include process control, system identification, big data, and essential oil extraction systems.

Dr. Siti Aminah Nordin is a distinguished senior lecturer currently affiliated with UiTM Pasir Gudang. She earned both her master's and Ph.D. degrees in electrical engineering from UiTM Shah Alam in 2014 and 2022, respectively, showcasing her commitment to academic excellence. With a specialized focus in the realm of electrical engineering, her research interests are notably centered around microwave filters, antennas, and electromagnetic wave area. Her academic journey and expertise reflect a deep dedication to advancing knowledge and contributing to the field, particularly in areas crucial to modern communication and technology.


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Product Details
  • ISBN-13: 9789819220830
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Nature
  • Height: 235 mm
  • No of Pages: 180
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: 442 Studies in Fuzziness and Soft Computing
  • Width: 155 mm
  • ISBN-10: 9819220831
  • Publisher Date: 14 Aug 2026
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Sub Title: The Science of Aroma


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Fuzzy Logic, Smart Control, and the Future of Essential Oils: The Science of Aroma(442 Studies in Fuzziness and Soft Computing)
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