R
Rajeeb Dey
Researcher at National Institute of Technology, Silchar
Publications - 86
Citations - 781
Rajeeb Dey is an academic researcher from National Institute of Technology, Silchar. The author has contributed to research in topics: Linear matrix inequality & Control theory. The author has an hindex of 12, co-authored 78 publications receiving 625 citations. Previous affiliations of Rajeeb Dey include National Institute of Technology Agartala & Jadavpur University.
Papers
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H∞ load frequency control of interconnected power systems with communication delays
TL;DR: In this paper, a delay-dependent two-term H∞ controller design has been proposed using linear matrix inequalities, and a comparison of effectiveness with that of existing one-term and twoterm controller designs establishes the superiority as well as applicability of the present design for the LFC problem.
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Stability analysis for continuous system with additive time-varying delays: A less conservative result
TL;DR: This paper presents a less conservative result for stability analysis of continuous-time systems with additive delays by constructing a new Lyapunov-Krasovskii functional and utilizing free matrix variables in approximating certain integral quadratic terms in obtaining the stability condition in terms of linear matrix inequalities.
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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.
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Improved delay-dependent stabilization of time-delay systems with actuator saturation
TL;DR: In this article, Delay-dependent regional stabilization criteria are derived based on Lyapunov-Krasovskii approach by using both the polytopic or dead-zone representation of the saturation function.
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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.