Prashanth Harshangi

Papers

Total Citations

H-Index

About

Prashanth Harshangi’s research lies at the intersection of adaptive control theory and the stability of complex dynamical systems. His most-cited work, “Unstable systems stabilizing each other through adaptation” (2014, 7 citations), challenges a foundational assumption in adaptive control: that a stable reference model is necessary for system stabilization. Harshangi demonstrates that even unstable systems can be made to stabilize one another through mutual adaptation, a counterintuitive insight with profound implications for decentralized control, swarm robotics, and networked autonomous systems. This contribution redefines the role of reference models, opening new pathways for designing resilient, self-organizing systems. While his citation count remains modest, the conceptual depth and originality of his work have earned recognition among specialists in nonlinear and adaptive control. Harshangi’s research continues to explore how adaptation can transform instability into a resource rather than a liability, making his contributions particularly relevant for students and researchers working on next-generation autonomous systems, cyber-physical networks, and fault-tolerant control architectures.