Collaborative Autonomy in Uncertain Environments: Exploring Vistas Beyond Consensus
Team
- Avimanyu Sahoo, UAH, Huntsville
- Vignesh Narayanan, UofSC
Overview
The overall objective of this project is to design efficient aperiodic communication protocols, privacy-preserving and scalable learning algorithms for inference and filtering, and resource-conscious control strategies for networked autonomous, heterogeneous agents in a distributed setting.
Selected Products
- Yousefian, A., Sahoo, A. & Narayanan, V., 2025. A novel online system identification using Chebyshev polynomial basis of the second kind. In: IEEE American Control Conference.
- Connerty, E., Evans, E., Angelatos, G. and Narayanan, V., 2024. Predicting chaotic systems with quantum echo-state networks. arXiv preprint arXiv:2412.07910. Presented at the First International Workshop on Quantum Computing and Artificial Intelligence, AAAI 2025.
- Yousefian, A., Sahoo, A. and Narayanan, V., 2024, December. Aperiodic Sensing and Data-Driven System Identification of Nonlinear Systems Using Chebyshev Pseudospectral Approach. In 2024 IEEE 63rd Conference on Decision and Control (CDC) (pp. 8766-8771). IEEE.