Control & Optimization

Boyd, Candes, Duchi, El Gamal, Enge, Glynn, Goldsmith, Guibas, Hesselink, Johari, Lall, Montanari, Pavone, Prabhakar, Rajagopal, Tse, Van Roy, Ye

Optimal design and engineering systems operation methodology is applied to things like integrated circuits, vehicles and autopilots, energy systems (storage, generation, distribution, and smart devices), and financial trading. Optimization is also widely used in signal processing, statistics, and machine learning as a method for fitting parametric models to observed data. Examples include:

  • Languages and solvers for convex optimization,
  • Distributed convex optimization,
  • Smart grid algorithms,
  • Learning via low rank models,
  • Approximate dynamic programming,
  • Methods for sparse signal recovery,
  • Dynamic game theory,
  • Control theory,
  • Decentralized control.

 

Faculty

Stephen P. Boyd

Stephen P. Boyd Professor

Pkd 254 (9510)
Website

Chaffee, Doug Administrator

Pkd 259 (9510)
721-2892
dchaffee@stanford.edu

Abbas El Gamal

Abbas El Gamal Professor

Pkd 262 (9510)
Website

Sligar, Karin Administrator

Pkd 174 (9510)
723-6471
ksligar@stanford.edu

Per Enge

Per Enge Professor Aeronautics and Astronautics
EE by Courtesy

Peter Glynn

Peter Glynn Professor Management Science and Engineering
EE by Courtesy

Andrea Goldsmith

Andrea Goldsmith Professor

Pkd 371 (9515)
Website

Oshiro, Pat Administrator

Pkd 365 (9515)
723-2681
poshiro@stanford.edu

Leonidas J. Guibas

Leonidas J. Guibas Professor Computer Science
EE by Courtesy

Ramesh Johari

Ramesh Johari Associate Professor Management Science and Engineering
EE by Courtesy

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