6 citations · 18 across the 10 of their papers we have counts for
10 papers
Path Signatures for Seizure Forecasting
Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand +4
Predicting future system behaviour from past observed behaviour (time series) is fundamental to science and engineering. In computational neuroscience, the prediction of future epi…
Autoregressive models for biomedical signal processing
Jonas F. Haderlein, Andre D. H. Peterson, Anthony N. Burkitt +2
Autoregressive models are ubiquitous tools for the analysis of time series in many domains such as computational neuroscience and biomedical engineering. In these domains, data is,…
On the benefit of overparameterisation in state reconstruction: An empirical study of the nonlinear case
Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand +3
The empirical success of machine learning models with many more parameters than measurements has generated an interest in the theory of overparameterisation, i.e., underdetermined…
On the benefit of overparameterization in state reconstruction
Jonas F. Haderlein, Iven M. Y. Mareels, Andre Peterson +3
The identification of states and parameters from noisy measurements of a dynamical system is of great practical significance and has received a lot of attention. Classically, this…
Signal Sets on Time Scales with Application to Hybrid Systems
Ti-Chung Lee, Ying Tan, Iven Mareels
Recently, time scales calculus is developed to unify continuous and discrete analysis. By extending the definition of time scales properly, this paper introduces the concept of a s…
Organizing Virtual Conferences through Mirrors: The ACM e-Energy 2020 Experience
Dan Wang, Arun Vishwanath, Ramesh Sitaraman +1
The emergence of the world-wide COVID-19 pandemic has forced academic conferences to be held entirely in a virtual manner. While prior studies have advocated the merits of virtual…
Invariance Principles and Observability in Switched Systems with an Application in Consensus
Ti-Chung Lee, Ying Tan, Youfeng Su +1
Using any nonnegative function with a nonpositive derivative along trajectories to define a virtual output, the classic LaSalle invariance principle can be extended to switched non…
Low-Voltage Distribution Network Impedances Identification Based on Smart Meter Data
Sergey Iakovlev, Robin J. Evans, Iven Mareels
Under conditions of high penetration of renewables, the low-voltage (LV) distribution network needs to be carefully managed. In such a scenario, an accurate real-time low-voltage p…
Linear system security -- detection and correction of adversarial attacks in the noise-free case
Zhanghan Tang, Margreta Kuijper, Michelle Chong +2
We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant systems under sensor attack. More specifically, we focus on th…
A homotopic mapping between current-based and conductance-based synapses in a mesoscopic neural model of epilepsy
Andre D. H. Peterson, Hamish Meffin, Mark J. Cook +3
Changes in brain states, as found in many neurological diseases such as epilepsy, are often described as bifurcations in mesoscopic neural models. Nearly all of these models rely o…