3 citations · 3 across the 2 of their papers we have counts for
6 papers
Conformal Koopman for Embedded Nonlinear Control with Statistical Robustness: Theory and Real-World Validation
Koki Hirano, Hiroyasu Tsukamoto
We propose a fully data-driven, Koopman-based framework for statistically robust control of discrete-time nonlinear systems with linear embeddings. Establishing a connection betwee…
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
Contraction theory is an analytical tool to study differential dynamics of a non-autonomous (i.e., time-varying) nonlinear system under a contraction metric defined with a uniforml…
Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems
Rihan Aaron D'Silva, Hiroyasu Tsukamoto
This paper presents novel method for distribution-free robust trajectory optimization and control of discrete-time, nonlinear, and non-Gaussian stochastic systems, with closed-loop…
Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
Hiroyasu Tsukamoto, Soon-Jo Chung, Yashwanth Kumar Nakka +3
Interstellar objects (ISOs) are likely representatives of primitive materials invaluable in understanding exoplanetary star systems. Due to their poorly constrained orbits with gen…
Contraction-Aware Reinforcement Learning for Nonlinear Control with Statistical Robustness
Minjae Cho, Hiroyasu Tsukamoto, Huy T. Tran +1
Control contraction metrics (CCMs)-defined by Riemannian metrics under which a closed-loop system is incrementally exponentially stable-offer a constructive framework for synthesiz…
Interstellar Object Accessibility and Mission Design
Benjamin P. S. Donitz, Declan Mages, Hiroyasu Tsukamoto +6
Interstellar objects (ISOs) represent a compelling and under-explored category of celestial bodies, providing physical laboratories to understand the formation of our solar system…