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Home / Haoyue Gao

Haoyue Gao

Short Bio

In 2016, Haoyue Gao received his B.S. in Computer Engineering from Purdue University, West Lafayette. He received his Master’s Degree in 2018 and is currently a Ph.D. student at the University of California, Santa Cruz. Haoyue’s research interest is hybrid predictive control. 

 

Projects

-Predictive control for a juggling ball system

-Predictive control for single phase DC/AC inverter

 

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Recent Publications

  • 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
  • Control Barrier Function based Attack-Recovery with Provable Guarantees
  • Distributed Nonconvex Optimization with Exponential Convergence Rate via Hybrid Systems Methods
  • Bayesian Optimization for Informative Excitation Design for Estimation of Inertia Parameters in Spacecraft Rendezvous and Docking
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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
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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.

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