Rajagopal Karthikeyan
Papers
1
Total Citations
9
H-Index
1
About
Rajagopal Karthikeyan is a leading researcher in the intelligent control and security of complex networked systems, with a primary focus on fractional-order dynamics. His work bridges advanced control theory with reinforcement learning to solve critical challenges in multiagent systems. In his highly cited 2025 study, Karthikeyan developed an intelligent, resilient event-triggered control method for fractional-order multiagent networked systems (FOMANSs). This groundbreaking approach uses reinforcement learning to address unknown system dynamics, actuator faults, and denial-of-service (DoS) attacks simultaneously—a problem that has long challenged the field. By integrating event-triggered communication mechanisms, his method significantly reduces communication overhead while maintaining robust performance under adversarial conditions. With 9 citations already for this recent work, Karthikeyan’s contributions are rapidly gaining recognition for their practical relevance to autonomous systems, smart grids, and secure multi-robot coordination. His research represents a vital step toward creating truly resilient, adaptive, and secure control architectures for next-generation networked systems operating in uncertain and hostile environments.
Research Focus
Key Achievements
Top Papers
- 1