22 citations · 35 across the 13 of their papers we have counts for
13 papers
Finite Time Lyapunov Exponent Analysis of Model Predictive Control and Reinforcement Learning
Kartik Krishna, Steven L. Brunton, Zhuoyuan Song
Finite-time Lyapunov exponents (FTLEs) provide a powerful approach to compute time-varying analogs of invariant manifolds in unsteady fluid flow fields. These manifolds are useful…
A Multi-size Kernel based Adaptive Convolutional Neural Network for Bearing Fault Diagnosis
Guangwei Yu, Gang Li, Xingtong Si +1
Bearing fault identification and analysis is an important research area in the field of machinery fault diagnosis. Aiming at the common faults of rolling bearings, we propose a dat…
Swarm Modelling with Dynamic Mode Decomposition
Emma Hansen, Steven L. Brunton, Zhuoyuan Song
Modelling biological or engineering swarms is challenging due to the inherently high dimension of the system, despite the often low-dimensional emergent dynamics. Most existing swa…
Resilient Time-Varying Formation Tracking for Mobile Robot Networks under Deception Attacks on Positioning
Yen-Chen Liu, Kai-Yuan Liu, Zhuoyuan Song
This paper investigates the resilient control, analysis, recovery, and operation of mobile robot networks in time-varying formation tracking under deception attacks on global posit…
Koopman Operator Theory for Nonlinear Dynamic Modeling using Dynamic Mode Decomposition
Gregory Snyder, Zhuoyuan Song
The Koopman operator is a linear operator that describes the evolution of scalar observables (i.e., measurement functions of the states) in an infinitedimensional Hilbert space. Th…
Path Planning for Optimal Coverage of Areas with Nonuniform Importance
Gregory Snyder, Sachin Shriwastav, Dylan Morrison-Fogel +1
Coverage of an inaccessible or challenging region with potential health and safety hazards, such as in a volcanic region, is difficult yet crucial from scientific and meteorologica…