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

Contacts

Sydney Institute for Robotics and Intelligent Systems
info@acfr.usyd.edu.au