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Dr Rupak Datta

vidwan id: 405435
Male

Assistant Professor, Department of Mathematics
Tripura University

Expertise

  • Applied Mathematics

Publications

Total Articles 23
Books 0
Proceedings 0

Publications

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Scopus

Citations 198
h-index 7

CrossRef

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Citations 82
h-index 5
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Professional Recognition

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Community & Membership

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Indian Mathematical Society

2023
Life Member

Ramanujan Mathematical Society

2023
Life Member

Tripura Mathematical Society

2023
Life Member

Bio

Fuzzy Control Theory, Stability Analysis, Time-delay Systems

Personal Details

  • Male
  • Assistant Professor , Tripura University
  • Tripura University, Suryamaninagar
PhD
Other Institute 2021
Assistant Professor Dec 2023 – Present
Tripura University | Department of Mathematics
Research Professor Mar 2023 – Dec 2023
S R M Institute of Science & Technology, Chennai | Department of Mathematics - KTR

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Co-Authors (4)

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Mr Abanishwar Chakraborti

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Dr Ajoy Kanti Das

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Scholarly Work

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Scholarly Publications

An innovative approach to group decision-making based on weighted hypersoft expert system

Open Access
Book Chapter
Authors: Das A.K.;Das R.;Datta R.;Granados C.

New insights on dissipative control technique for Takagi–Sugeno fuzzy system with variable time-delays and random packet dropouts

Open Access
Article

DISTURBANCE OBSERVER-BASED EXTENDED STATE CONVERGENCE ARCHITECTURE FOR MULTILATERAL TELEOPERATION SYSTEMS

Open Access
Article

Fuzzy Memory Sampled-Data Controller Design for PMSG-Based WECS With Stochastic Packet Dropouts

Open Access
Article

Extended Dissipativity Analysis for Delayed Fuzzy Systems using Polynomial Based Integral Inequality

Open Access
Conference Paper

H∞Control for T-S Fuzzy System via Delayed State Feedback: Application to Two-Link Robotic System

Open Access
Conference Paper
Authors: Datta R.;Dey R.;Adhikari N.;Gu J.;Farooq U.;Asad M.U.

New insights on fuzzy sampled-data stabilization of delayed nonlinear systems

Open Access
Article
Authors: Saravanakumar R.;Datta R.;Cao Y.

Dissipative Control for Single Flexible Joint Robotic System via T-S Fuzzy Modelling Approach

Open Access
Conference Paper