Nicanor Quijano

About

Nicanor Quijano is a leading figure in networked control systems, multi-agent robotics, and cyber-physical security. His work bridges foundational theory and practical implementation, with a strong emphasis on resilience and accessibility. He has made major contributions to the development of distributed control strategies, including the use of model predictive control (MPC) and potential game controllers to achieve consensus and formation control in teams of differential-drive robots. Notably, his research on dynamic data integration provides a practical framework for detecting and mitigating sensor attacks in multi-agent systems, addressing a critical vulnerability in modern control infrastructures. Quijano is also deeply committed to education, as demonstrated by his design of an affordable, low-cost robotic platform that enables hands-on learning from basic to advanced control methods. His most cited works, including a 2021 paper on cyber-attack resilience (11 citations) and a 2018 paper on low-cost laboratories (10 citations), reflect both the timeliness and impact of his research. By combining rigorous control theory with real-world applications in robotics and security, Quijano continues to shape the future of distributed and resilient autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Dynamic Data Integration for Resilience to Sensor Attacks in Multi-Agent Systems

   11 citations · 2021
2. 2
   An Affordable Set of Control System Laboratories Using A Low-Cost Robotic Platform

   10 citations · 2018
3. 3
   Current results and research trends in networked control systems

   6 citations · 2011
4. 4
   Distributed MPC and Potential Game Controller for Consensus in Multiple Differential-Drive Robots

   4 citations · 2019
5. 5
   Distributed Formation Control of Mobile Robots Using Discrete-Time Distributed Population Dynamics

   4 citations · 2020

Key Collaborators

Contact & Links