G. Narayanan
Papers
1
Total Citations
9
H-Index
1
About
G. Narayanan is a leading researcher in the control and optimization of complex networked systems, with a primary focus on fractional-order dynamics, multiagent coordination, and cyber-physical security. Their most-cited work, "Intelligent Resilient Security Control for Fractional-Order Multiagent Networked Systems Using Reinforcement Learning and Event-Triggered Communication Mechanism" (2025), has already garnered 9 citations, reflecting its timely impact. In this study, Narayanan introduces a novel framework that integrates reinforcement learning with event-triggered control to address critical challenges in fractional-order multiagent systems, including unknown dynamics, actuator faults, and denial-of-service (DoS) attacks. This contribution is particularly significant for ensuring the resilience and security of distributed systems operating under adversarial conditions. Narayanan’s research bridges theoretical advances in fractional calculus with practical, intelligent control strategies, offering robust solutions for autonomous networks, robotics, and critical infrastructure. Their work stands out for its innovative combination of learning-based adaptation and event-driven communication, setting a benchmark for secure, efficient control in uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1