Skip to main content
Home
  • Home
  • Publications
  • Projects
  • Lab
    • Software
  • Teaching
    • IGSC-EECI (Hybrid) 2023
    • Security (CDC22)
    • Hybrid MPC (IFACWC20)
    • Hybrid MPC (CDC19)
    • IGSC-EECI (Hybrid) 2019
    • ECE149/249 (CPS) 2019
    • CMPE241 (Fall 2018)
    • CPS Workshop (CDC18)
    • Hybrid Control Design 2018
    • IGSC-EECI (Hybrid) 2017
    • CMPE241 (Control) 2017
    • CMPE8 (Robotics) 2017
    • CMPE246 (Hybrid) 2016
    • DDDNS (2016)
    • Hybrid Control (CDC16)
    • CMPE149/249 (CPS) 2016
    • CPS Tutorial (CPSWeek16)
    • CAS-AMSS (Hybrid) 2015
    • CMPE246 (Hybrid) 2015
    • IGSC-EECI (Hybrid) 2015
    • CMPE142 (CPS) 2014
    • IGSC-EECI 2014
    • ITBA 2013
    • Outreach


Home / Nathan Wu

Nathan Wu

Short Bio

Nathan Wu is a Ph.D. student in the Department of Electrical Engineering at the University of California Santa Cruz. He received a B.S. in 2018 and a M.S. in 2019, both in Electrical Engineering and from the University of California, Santa Barbara. His research interests lie in finding game theoretical approaches to the state estimation of hybrid dynamical systems.

Publications

Publications here

Search form

Tweets by RGSanfelice

Recent Publications

  • Model Predictive Control of Hybrid Dynamical Systems
  • Traffic Density with Multi-Mode Control Barrier Functions at Scale
  • Uncertainty-Aware Resource Allocation for Multi-Path Programs with In-Kernel Predictions
  • Neural Hybrid Equations: Models, Basic Properties, and Approximation Results
  • A Hybrid Systems Model of Feedback Optimization for Linear Systems: Convergence and Robustness
  • On Input-to-State Stability for a Class of Stochastic Hybrid Systems
  • Observer Design for Hybrid Systems with Partially Affine Forms and Known Jump Times: Applications to Walking Robots
Subscribe to Recent PublicationsMore...

News

  • Promoted to Full Professor!
  • Our journal article "Forward Invariance of Sets for Hybrid Dynamical Systems" was published in IEEE Transactions on Automatic Control in 2018 as Full Paper

    New Journal Article

  • Jun Chai receives a PhD from the University of California, Santa Cruz
  • Dawn Hustigs-Schultz receives 2018 ARCS Foundation Fellowship
↑

Disclaimer

Research supported by NSF, ARO, AFOSR, Mathworks, and Honeywell.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funding sources.

Ported to Drupal by Drupalizing a Project of More than Themes. Designed by Site5 WordPress Themes.