Profil Vijay Aravind Rengaraj

Schwerpunkte/Kompetenzen

  • Modellierung und Simulation von Lithium-Ionen-Batterien
  • Nichtlineare Dynamische Systeme
  • Deep Learning

 

Publikationen

  • R. Vijay Aravind, P. Balasubramaniam:
    An Exponential Stabilization Analysis for Switched Interval Type-2 Fuzzy Sampled-Data Control Systems. 2023.
  • R. Vijay Aravind, P. Balasubramaniam:
    Membership-function-dependent design of quantized fuzzy sampled-data controller for semi-Markovian jump systems with actuator faults. 2022.
  • R. Vijay Aravind, P. Balasubramaniam:
    An exponential stabilization criterion for switched delayed interval type-2 fuzzy systems under admissible edge dependent average dwell time mechanism. 2022.
  • R. Vijay Aravind, P. Balasubramaniam:
    Stochastic stability of fractional-order Markovian jumping complex-valued neural networks with time-varying delays. 2021.
  • R. Vijay Aravind, P. Balasubramaniam:
    Dwell-time-dependent memory based state feedback controller design for switched T-S fuzzy nonlinear systems. 2022.
  • K. Sanjay, R. Vijay Aravind, P. Balasubramaniam:
    Extended dissipative filtering design for interconnected nonlinear systems with time delays. 2023.
  • R. Vijay Aravind, P. Balasubramaniam:
    Stability criteria for memristor-based fractional order Cohen-Grossberg neural networks with time-varying delays and uncertainties. 2022.
  • R. Vijay Aravind, P. Balasubramaniam:
    Global asymptotic stability of delayed fractional-order complex-valued fuzzy cellular neural networks with impulsive disturbances. 2022.
  • R. Vijay Aravind, P. Balasubramaniam, M. Mahinzaeim, K. Mehran: Security dissipative control for interval type-2 fuzzy hidden Markovian jump systems under event-triggered scheme. 2024.