Control & Optimization

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.

 

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H.-S. Philip Wong

H.-S. Philip Wong Professor

Allen 312X (4075)
Website

Barrera, Fely Administrator

Allen 332X (4075)
723-1349
fely@ee.stanford.edu

Simon S. Wong

Simon S. Wong Professor

Allen 203 (4070)
Website

Wang, June Administrator

Allen 203 (4070)
724-1342
junewang@ee.stanford.edu

Mary Wootters

Mary Wootters Assistant Professor

Gates 468 (9045)

Harris, Ruth Administrator

Gates 495 (9045)
723-1658
rharris3@stanford.edu

Howard Zebker

Howard Zebker Professor

Pkd 334 (9515)
Website

Niu, Helen Administrator

Packard 310 (9515)
723-8121
helen.niu@stanford.edu

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