Rupak Datta received the B.Sc. and M.Sc. degrees in mathematics from Tripura University (A Central University), Tripura, India, in 2010 and 2012, respectively, and the Ph.D. degree in mathematics from the Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, India, in 2021. He was a Postdoctoral Research Fellow with the Research Center for Wind Energy Systems, Kunsan National University, Gunsan, South Korea.
He is currently a Research Assistant Professor with the Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. His research interests include fuzzy control theory and its applications, wind energy conversion systems, stability analysis, time-delay systems, and control theory.
RESEARCH, TEACHING, or OTHER INTERESTS
Control and Systems Engineering, Applied Mathematics, Control and Optimization
An innovative approach to group decision-making based on weighted hypersoft expert system Ajoy Kanti Das, Rakhal Das, Rupak Datta, Carlos Granados Neutrosophic and Plithogenic Inventory Models for Applied Mathematics, 2025 The aim of this chapter is to explore the concept of weighted hypersoft expert sets (WHSES) and analyze their core properties, extending from hypersoft expert sets (HSES), also to introduce innovative notions like agree-WHSES, disagree-WHSES, and weighted scores, enhancing understanding of decision consensus in WHSES frameworks. This proposed decision-making method (DMM) is adaptable and suited for real-life decision-making problems (DMPs), demonstrated with practical examples. Furthermore, authors conducted a comparative analysis to validate the effectiveness of our approach in advancing decision science methodologies.
Fuzzy Memory Sampled-Data Controller Design for PMSG-Based WECS With Stochastic Packet Dropouts Rupak Datta, Young Hoon Joo IEEE Transactions on Fuzzy Systems, 2023 The fuzzy memory sampled-data (SD) control problem for permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS) with stochastic packet dropouts is discussed in this article. To do this, the PMSG-based WECS dynamics are first modeled by a set of fuzzy IF–THEN rules of the Takagi–Sugeno fuzzy model because of high nonlinearity. And then, to minimize design conservatism, a suitable augmented looped-type Lyapunov functional along with a novel integral inequality is established by using the sampling mode information with signal transmission delay. Further, a fuzzy memory-based SD controller is designed to obtain the asymptotic stability condition under the circumstances of packet dropouts, and simultaneously, disturbance reduction is confirmed. Thereafter, the associated fuzzy controller gains can be computed by solving a number of linear matrix inequalities. Finally, the application of the suggested method to a real-world system is proved using PMSG-based WECS, and the mathematical Rossler's system demonstrates the effectiveness and superiority of the proposed technique over the existing method.
Extended Dissipativity Analysis for Delayed Fuzzy Systems using Polynomial Based Integral Inequality Rupak Datta, Rajeeb Dey, R. Saravanakumar, Kevin Guelton IFAC Papersonline, 2023 This study addresses the problem of extended dissipativity analysis for nonlinear time-delay systems represented by Takagi–Sugeno fuzzy model. Different from the existing schemes in the literature, this paper aims to solve the dissipativity problem by considering the H ∞ , L 2 -L ∞ and dissipative performance constraints in a unified framework. Additionally, to estimate the single integral terms in the derivative of the Lyapunov–Krasovskii functional, a polynomial-based integral inequality is used. The advantage of the proposed method is demonstrated numerically with the well-known benchmark of a truck-trailler model drawn from the literature.
DISTURBANCE OBSERVER-BASED EXTENDED STATE CONVERGENCE ARCHITECTURE FOR MULTILATERAL TELEOPERATION SYSTEMS Muhammad Usman Asad, Umar Farooq, Jason Gu, Rajeeb Dey, Nabanita Adhikary, Rupak Datta, Chunqi Chang International Journal of Robotics and Automation, 2023 In the existing extended state convergence architecture, k -master systems can control the motion of l-slave systems to perform a certain task in a remote environment.However, dependency of this control framework on systems' parameters leads to a degraded control performance in the presence of significant parameter variations.In this study, we have integrated extended state observers in extended state convergence architecture to counter the effect of uncertainties, which has resulted in a more practical architecture for multilateral teleoperation systems.In order to validate the proposed enhanced architecture, simulations are performed in MATLAB/Simulink environment by considering a symmetric (2 × 2) as well as asymmetric (2 × 1) teleoperation system.A comparative assessment with the existing state convergence architecture proves the superiority of the proposed architecture.In addition, hardware experimentation is carried out on Quanser QUBE-servo systems by setting up an asymmetric (1 × 2) teleoperation system in the QUARC environment.
Reliable Memory Sampled-Data Consensus of Multi-Agent Systems with Nonlinear Actuator Faults Ramasamy Saravanakumar, Amir Amini, Rupak Datta, Yang Cao IEEE Transactions on Circuits and Systems II Express Briefs, 2022 This brief proposes a memory-based sampled-data consensus framework for general linear multi-agent systems (MAS) in the presence of a class of nonlinear actuator faults (NAF). To reduce state exchanges and preserve energy resources, communication between the neighboring agents are based on only samples of the states with variable sampling intervals. As two common constraints in the actuators, the bounded nonlinear partial loss of effectiveness and bias faults are both taken into account in the problem formulation. Sufficient conditions to guarantee consensus under the given circumstances are derived as linear matrix inequality (LMI) conditions. Different from existing Lyapunov-Krasovskii-based methods, the proposed design framework in this brief is based on a looped functional approach which reduces the conservation in designing the required consensus control gains. This less conservative approach allows a larger sampling interval as well as more severe actuator faults which together enhance the practicability of the proposed approach. Simulation results based on a tunnel diode circuit and a non-holonomic mobile robot MASs quantify the effectiveness of the proposed approach and the improved sampling intervals.
Dissipative Control for Single Flexible Joint Robotic System via T-S Fuzzy Modelling Approach Rupak Datta, Rajeeb Dey, Nabanita Adhikari IFAC Papersonline, 2022 The dissipativity analysis for single flexible joint robotic system via Takagi–Sugeno (T–S) fuzzy modelling technique is the main focus of this paper. Our aim is to design a delayed state feedback controller by using parallel distributed compensation (PDC) so that the considered system is asymptotically stable with a (Φ1, Φ2, Φ3)-γ- dissipative performance index. A delay-range-dependent strictly (Φ1, Φ2, Φ3) -γ- dissipativity condition is derived in terms of linear matrix inequality (LMI) framework by constructing an appropriate Lyapunov– Krasovskii functional (LKF) and using higher order polynomial based integral inequality (HOPBII) to estimate its derivative. Finally, numerical simulation result is given to show the effectiveness of the proposed theoretical method.
Reliable Memory Sampled-Data Control for T-S Fuzzy Systems Ramasamy Saravanakumar, Kaibo Shi, Rupak Datta IFAC Papersonline, 2022 Reliable memory sampled-data control (MSDC) for Takagi–Sugeno (T–S) fuzzy system is considered in this study. The MSDC approach includes a signal transmission delay, is utilized to stabilize the concerned T–S fuzzy system. Unlike existing Lyapunov–Krasovskii functional (LKF) approaches, a looped functional approach is considered in this paper that minimizes conservatism in designing the desired control gains. A Free-Matrix-Based integral inequality is employed to obtain the upper bounds of the integral terms in the derivative of the looped functional. The sufficient conditions are derived to show the existence of reliable MSDC law and to assure the asymptotic stability of T–S fuzzy systems. The effectiveness and significance of the proposed approach are shown through numerical examples.
Frequency regulation of an interconnected cyber-physical power system S Bondalapati, R Dey, R Datta, M Bajodek Journal of the Franklin Institute, 108043 , 2025 2025 Citations: 2
New insights on dissipative control technique for Takagi–Sugeno fuzzy system with variable time-delays and random packet dropouts R Datta, R Saravanakumar The European Physical Journal Special Topics 234 (8), 1341-1359 , 2025 2025 Citations: 4
An Innovative Approach to Group Decision-Making Based on Weighted Hypersoft Expert System AK Das, R Das, R Datta, C Granados Neutrosophic and Plithogenic Inventory Models for Applied Mathematics, 483-518 , 2025 2025 Citations: 16
Fuzzy memory sampled-data controller design for PMSG-based WECS with stochastic packet dropouts R Datta, YH Joo IEEE Transactions on Fuzzy Systems 31 (12), 4421-4434 , 2023 2023 Citations: 30
Extended Dissipativity Analysis for Delayed Fuzzy Systems using Polynomial Based Integral Inequality R Datta, R Dey, R Saravanakumar, K Guelton IFAC-PapersOnLine 56 (2), 2196-2201 , 2023 2023
DISTURBANCE OBSERVER-BASED EXTENDED STATE CONVERGENCE ARCHITECTURE FOR MULTILATERAL TELEOPERATION SYSTEMS MU Asad, U Farooq, J Gu, R Dey, N Adhikary, R Datta, C Chang International Journal of Robotics and Automation 38 (10) , 2023 2023
Further results on stability analysis of Takagi–Sugeno fuzzy time-delay systems via improved Lyapunov–Krasovskii functional R Datta, R Saravanakumar, R Dey, B Bhattacharya AIMS Mathematics 7 (9), 16464-16481 , 2022 2022 Citations: 5
H∞ control for T–S fuzzy system via delayed state feedback: Application to two-link robotic system R Datta, R Dey, N Adhikari, J Gu, U Farooq, MU Asad IFAC-PapersOnLine 55 (1), 777-782 , 2022 2022 Citations: 4
Dissipative Control for Single Flexible Joint Robotic System via T–S Fuzzy Modelling Approach R Datta, R Dey, N Adhikari IFAC-PapersOnLine 55 (1), 637-642 , 2022 2022 Citations: 1
Reliable memory sampled-data control for T–S fuzzy systems R Saravanakumar, K Shi, R Datta IFAC-PapersOnLine 55 (1), 722-727 , 2022 2022 Citations: 5
New insights on fuzzy sampled-data stabilization of delayed nonlinear systems R Saravanakumar, R Datta, Y Cao Chaos, Solitons & Fractals 154, 111654 , 2022 2022 Citations: 34
Dissipative Control for Delayed T–S Fuzzy System with Data Packet Dropout R Datta, R Saravanakumar 2021 8th International Conference on Soft Computing & Machine Intelligence … , 2021 2021 Citations: 2
Improved stabilization criteria for Takagi–Sugeno fuzzy systems with variable delays R Datta, R Saravanakumar, R Dey, B Bhattacharya, CK Ahn Information Sciences 579, 591-606 , 2021 2021 Citations: 21
Reliable memory sampled-data consensus of multi-agent systems with nonlinear actuator faults R Saravanakumar, A Amini, R Datta, Y Cao IEEE Transactions on Circuits and Systems II: Express Briefs 69 (4), 2201-2205 , 2021 2021 Citations: 44
Adaptive Robust Control of Tele-operated Master-Slave Manipulators with Communication Delay N Adhikary, R Dey, MU Asad, J Gu, U Farooq, R Dutta Communication and Control for Robotic Systems, 123-140 , 2021 2021
A Multi-Master Single-Slave Teleoperation System Through Composite State Convergence MU Asad, J Gu, U Farooq, R Dey, N Adhikary, R Datta, C Chang Communication and Control for Robotic Systems, 141-153 , 2021 2021
Stability and stabilization of T–S fuzzy systems with variable delays via new Bessel–Legendre polynomial based relaxed integral inequality R Datta, R Dey, B Bhattacharya, R Saravanakumar, OM Kwon Information Sciences 522, 99-123 , 2020 2020 Citations: 37
New delay-range-dependent stability condition for fuzzy Hopfield neural networks via Wirtinger inequality R Datta, R Dey, R Saravanakumar, B Bhattacharya, TC Lin Journal of Intelligent & Fuzzy Systems 38 (5), 6099-6109 , 2020 2020 Citations: 2
Improved delay-range-dependent stability condition for T–S fuzzy systems with variable delays using new extended affine Wirtinger inequality R Datta, R Dey, B Bhattacharya International Journal of Fuzzy Systems 22 (3), 985-998 , 2020 2020 Citations: 16
Further results on delay-range-dependent stability condition for fuzzy time-delay systems: Less LMIs and decision variables R Datta, R Dey, B Bhattacharya, A Chakrabarti Springer , 2020 2020
MOST CITED SCHOLAR PUBLICATIONS
Reliable memory sampled-data consensus of multi-agent systems with nonlinear actuator faults R Saravanakumar, A Amini, R Datta, Y Cao IEEE Transactions on Circuits and Systems II: Express Briefs 69 (4), 2201-2205 , 2021 2021 Citations: 44
Stability and stabilization of T–S fuzzy systems with variable delays via new Bessel–Legendre polynomial based relaxed integral inequality R Datta, R Dey, B Bhattacharya, R Saravanakumar, OM Kwon Information Sciences 522, 99-123 , 2020 2020 Citations: 37
New insights on fuzzy sampled-data stabilization of delayed nonlinear systems R Saravanakumar, R Datta, Y Cao Chaos, Solitons & Fractals 154, 111654 , 2022 2022 Citations: 34
Fuzzy memory sampled-data controller design for PMSG-based WECS with stochastic packet dropouts R Datta, YH Joo IEEE Transactions on Fuzzy Systems 31 (12), 4421-4434 , 2023 2023 Citations: 30
Improved stabilization criteria for Takagi–Sugeno fuzzy systems with variable delays R Datta, R Saravanakumar, R Dey, B Bhattacharya, CK Ahn Information Sciences 579, 591-606 , 2021 2021 Citations: 21
An Innovative Approach to Group Decision-Making Based on Weighted Hypersoft Expert System AK Das, R Das, R Datta, C Granados Neutrosophic and Plithogenic Inventory Models for Applied Mathematics, 483-518 , 2025 2025 Citations: 16
Improved delay-range-dependent stability condition for T–S fuzzy systems with variable delays using new extended affine Wirtinger inequality R Datta, R Dey, B Bhattacharya International Journal of Fuzzy Systems 22 (3), 985-998 , 2020 2020 Citations: 16
New double integral inequality with application to stability analysis for linear retarded systems R Datta, R Dey, B Bhattacharya, R Saravanakumar, CK Ahn IET Control Theory & Applications 13 (10), 1514-1524 , 2019 2019 Citations: 16
On improved delay-range-dependent stability condition for linear systems with time-varying delay via Wirtinger inequality R Datta, B Bhattacharya, A Chakrabarti International Journal of Dynamics and Control 6 (4), 1745-1754 , 2018 2018 Citations: 7
Further results on stability analysis of Takagi–Sugeno fuzzy time-delay systems via improved Lyapunov–Krasovskii functional R Datta, R Saravanakumar, R Dey, B Bhattacharya AIMS Mathematics 7 (9), 16464-16481 , 2022 2022 Citations: 5
Reliable memory sampled-data control for T–S fuzzy systems R Saravanakumar, K Shi, R Datta IFAC-PapersOnLine 55 (1), 722-727 , 2022 2022 Citations: 5
Improved stability condition for fuzzy systems with interval time varying delay R Datta, R Dey, B Bhattacharya, A Chakraborti 2017 Joint 17th World Congress of International Fuzzy Systems Association … , 2017 2017 Citations: 5
New insights on dissipative control technique for Takagi–Sugeno fuzzy system with variable time-delays and random packet dropouts R Datta, R Saravanakumar The European Physical Journal Special Topics 234 (8), 1341-1359 , 2025 2025 Citations: 4
H∞ control for T–S fuzzy system via delayed state feedback: Application to two-link robotic system R Datta, R Dey, N Adhikari, J Gu, U Farooq, MU Asad IFAC-PapersOnLine 55 (1), 777-782 , 2022 2022 Citations: 4
Delayed state feedback controller design for inverted pendulum using TS fuzzy modeling: an LMI approach R Datta, R Dey, B Bhattacharya, A Chakrabarti Innovations in Infrastructure: Proceedings of ICIIF 2018, 67-79 , 2018 2018 Citations: 3
Frequency regulation of an interconnected cyber-physical power system S Bondalapati, R Dey, R Datta, M Bajodek Journal of the Franklin Institute, 108043 , 2025 2025 Citations: 2
Dissipative Control for Delayed T–S Fuzzy System with Data Packet Dropout R Datta, R Saravanakumar 2021 8th International Conference on Soft Computing & Machine Intelligence … , 2021 2021 Citations: 2
New delay-range-dependent stability condition for fuzzy Hopfield neural networks via Wirtinger inequality R Datta, R Dey, R Saravanakumar, B Bhattacharya, TC Lin Journal of Intelligent & Fuzzy Systems 38 (5), 6099-6109 , 2020 2020 Citations: 2
Further improved stability condition for TS fuzzy time-varying delay systems via generalised inequality R Datta, R Dey, B Bhattacharya International Journal of Advanced Intelligence Paradigms 14 (3-4), 310-327 , 2019 2019 Citations: 2
Dissipative Control for Single Flexible Joint Robotic System via T–S Fuzzy Modelling Approach R Datta, R Dey, N Adhikari IFAC-PapersOnLine 55 (1), 637-642 , 2022 2022 Citations: 1