A
Anirudh Nath
Researcher at National Institute of Technology, Silchar
Publications - 22
Citations - 241
Anirudh Nath is an academic researcher from National Institute of Technology, Silchar. The author has contributed to research in topics: Observer (quantum physics) & Control theory. The author has an hindex of 7, co-authored 18 publications receiving 162 citations. Previous affiliations of Anirudh Nath include Indian Institute of Technology Delhi & University of Calcutta.
Papers
More filters
Journal ArticleDOI
Observer based nonlinear control design for glucose regulation in type 1 diabetic patients: An LMI approach
TL;DR: The proposed controller can deliver robust closed-loop response of BGC within a specified range of parametric uncertainty and meal disturbances owing to the appropriately tuned bound of LMI region parameters.
Journal ArticleDOI
Blood glucose regulation in type 1 diabetic patients: an adaptive parametric compensation control-based approach
TL;DR: 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.
Journal ArticleDOI
An augmented subcutaneous type 1 diabetic patient modelling and design of adaptive glucose control
TL;DR: An augmented subcutaneous model of type 1 diabetic patients (T1DP) is proposed first by estimating the model parameters with the aid of nonlinear least square method using the physiological data and a nonlinear adaptive controller is proposed to tackle two important issues of intra-patient variability and uncertain meal disturbance.
Journal ArticleDOI
Physiological Models and Control for Type 1 Diabetes Mellitus: A Brief Review
TL;DR: The design of control algorithms in the presence of noises and various other disturbances is discussed, which in turn introduces sensor noise in the measurement, thereby leading to model imperfection.
Journal ArticleDOI
Attractive Ellipsoid Sliding Mode Observer Design for State of Charge Estimation of Lithium-Ion Cells
TL;DR: A novel attractive ellipsoid based sliding-mode observer (AESMO) algorithm is designed to estimate the SoC in real-time of Li-ion cells and provides reliable and efficient SoC estimate in the presence of bounded uncertainties in the battery parameters as well as exogenous disturbances.