Faculty Talks
Title: Adaptive Control of Artificial Pancreas for T1DM Patients
Abstract: A direct adaptive control strategy with parametric compensation is adopted for an uncertain non‐linear model representing blood glucose regulation in type 1 diabetes mellitus patients. The uncertain parameters of the model are updated by appropriate design of adaptation laws using the Lyapunov method. The closed‐loop response of the plasma glucose concentration as well as external insulin infusion rate is analysed for a wide range of variation of the model parameters through extensive simulation studies. The result indicates that the proposed adaptive control scheme avoids severe hypoglycaemia and gives satisfactory performance under parametric uncertainty highlighting its ability to address the issue of inter‐patient variability.
Speaker: Prof. Dipankar Deb (IITRAM Ahmedabad)
Prof. Dipankar Deb has a PhD from the University of Virginia USA (2007), and an MS from University of Florida USA (2004), and a B. Tech from NIT Surathkal, Karnataka (2000). Prof. Deb has served a couple of years at IIT Guwahati as an Assistant Professor (AGP 8000) during 2010-2012. He has over 6 years of Industrial experience both in New York (USA) and GE Global Research (Bengaluru) India. From July 2015 to Jan 2019, he has served as an Associate professor, and from Jan 24, 2019, onward he is a Professor in Electrical Engineering at Institute of Infrastructure Technology Research and Management (IITRAM) Ahmedabad. He holds 6 US patents and 7 Indian Patents and has published 55 SCI indexed Journal articles and 40+ International conference papers. He has also authored 12 books with reputed publishers like Springer and Elsevier. He is a Book Series Editor with CRC Press on Control Theory and Applications, and with Springer on Studies in Infrastructure and Control. He has also worked extensively in areas such as Adaptive Control, Active flow control, Renewable Energy, Cognitive Robotics and Machine Learning. He is listed in the top 2% of Researchers worldwide for 2020, 2021 & 2022 as published by Stanford University. He is a Senior member of IEEE, a fellow of IETE, and a life member of Eta Kappa Nu.
Title: Application of Kalman Filter for Dynamic Compensation of Self--powered Neutron Detectors
Speaker: Prof. Akhilanand Pati Tiwari (IIT Mandi)
Abstract: Self--powered neutron detectors (SPNDs) are used for measurement of neutron flux in large nuclear reactors for control and monitoring purposes. Among them, the rhodium and vanadium SPNDs are accurate but slow responding, precluding their use in reactor control. Kalman filtering can be effectively utilized to estimate the prompt variations in flux from the signals of slow responding SPNDs. The application aspects of the Kalman filter to the problem and results obtained with actual plant data will be presented in the talk.
Title: Optimal Pole Placement Controller for Networked Control Systems
Speaker: Prof. Kaushik Halder (IIT Mandi)
Abstract: A pole placement based Memory Less State Feedback Controller (MSFC) has been designed using the Linear Matrix Inequality (LMI) to control a plant over an network under variable latency (jitter) and data-loss. This Networked Control System (NCS) has been formulated as an Asynchronous Dynamic System (ADS) with rate constraints. The pole placement based controller has been derived to place the closed loop poles in a prescribed region of NCS. The derived controller also ensures some specified disturbance attenuation level.
Title: Cloud Facilitated Control of Connected and Autonomous Vehicles
Speaker: Prof. Narendra Kumar Dhar (IIT Mandi)