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.