3 papers
eess.SY2024
Structure and Control of Biology-inspired Networks
Zexin Sun, John Baillieul
There is increasing interest in developing the theoretical foundations of networked control systems that illuminate how brain networks function so as to enable sensory perception,…
eess.SY2024
Koopman-based Deep Learning for Nonlinear System Estimation
Zexin Sun, Mingyu Chen, John Baillieul
Nonlinear differential equations are encountered as models of fluid flow, spiking neurons, and many other systems of interest in the real world. Common features of these systems ar…
eess.SY2023
Neuromimetic Dynamic Networks with Hebbian Learning
Zexin Sun, John Baillieul
Leveraging recent advances in neuroscience and control theory, this paper presents a neuromimetic network model with dynamic symmetric connections governed by Hebbian learning rule…