ACFR Papers at CDC 2021
Check out our latest work! ACFR researchers will be presenting the following papers at the upcoming IEEE Conference on Decision and Control (CDC 2021), to be held online Dec 13 – 17:

An almost globally convergent observer for visual SLAM without persistent excitation
Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester
Preprint: https://arxiv.org/abs/2104.02966

Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models
Max Revay, Ruigang Wang, Ian R. Manchester
Preprint: https://arxiv.org/abs/2104.05942
Code: https://github.com/imanchester/REN

On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control
Bowen Yi, Ian R. Manchester
Preprint: https://arxiv.org/abs/2103.15033

Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial
Ian R. Manchester, Max Revay, Ruigang Wang
Preprint: https://arxiv.org/abs/2110.00207

Social Shaping of Competitive Equilibriums for Resilient Multi-Agent Systems
Yijun Chen, Razibul Islam, Elizabeth Ratnam, Ian R. Petersen, Guodong Shi
Preprint: https://arxiv.org/abs/2103.12911

Graphical Characterizations for Structural Controllability of Drifted Bilinear Systems
Xing Wang, Bo Li, Jr-Shin Li, Ian R. Petersen, Guodong Shi
Preprint: https://arxiv.org/abs/2103.12915

Achieving Consensus in Spite of Stubbornness: Time-Varying Concatenated Friedkin-Johnsen Models
Lingfei Wang, Camela Bernardo, Yiguang Hong, Francesco Vasca, Guodong Shi, Claudio Altafini