5 papers
Max-Entropy Moment Filtering for Stochastic Hybrid Systems
Kaito Iwasaki, Tejaswi K. C., Anthony Bloch +2
Stochastic hybrid systems combine continuous-time stochastic dynamics with discrete reset events, producing intrinsically non-Gaussian and often multimodal uncertainty. A consisten…
The Score Kalman Filter
Kaito Iwasaki, Anthony Bloch, Taeyoung Lee +1
A central obstacle in nonlinear Bayesian filtering is representing the belief distribution. Moment-based filters address this by propagating polynomial moments and reconstructing a…
Topological Dynamics via Learned Hybrid Systems
Bernardo Rivas, Kaito Iwasaki, William Kalies +2
The analysis of global dynamics, particularly the identification and characterization of attractors and their regions of attraction, is essential for complex nonlinear and hybrid s…
Switching Network System Identification via Convex Optimizations
Kaito Iwasaki, Anthony Bloch, Maani Ghaffari
This paper introduces a convex optimization framework for identifying switched network systems, in which both the node dynamics and the underlying graph topology switch between a f…
Learning Hybrid Dynamics via Convex Optimizations
Kaito Iwasaki, Sangli Teng, Anthony Bloch +1
This paper investigates the problem of identifying state-dependent switching systems, a class of hybrid dynamical systems that combine multiple linear or nonlinear modes. We propos…