# Difference between revisions of "Ather Gattami, Nov 2010"

(Created page with 'Ather Gattami will be visiting Caltech on 22 Nov (Mon). If you would like to meet with him, please sign up for a time below. === Schedule === {{agenda begin}} {{agenda item|10:…') |
|||

(2 intermediate revisions by 2 users not shown) | |||

Line 6: | Line 6: | ||

{{agenda item|11:00a|Seminar (Steele library)}} | {{agenda item|11:00a|Seminar (Steele library)}} | ||

{{agenda item|12:00p|Lunch with Richard}} | {{agenda item|12:00p|Lunch with Richard}} | ||

− | {{agenda item|1:30p| | + | {{agenda item|1:30p|Ufuk}} |

− | {{agenda item|2:15p| | + | {{agenda item|2:15p|Necmiye}} |

{{agenda item|3:00p|Open}} | {{agenda item|3:00p|Open}} | ||

{{agenda item|3:45p|Open}} | {{agenda item|3:45p|Open}} | ||

Line 14: | Line 14: | ||

=== Seminar === | === Seminar === | ||

− | + | '''Optimal Linear Quadratic Control with Nonconvex Quadratic Constraints''' | |

+ | |||

+ | 22 November 2010, 11 am, 114 Steele | ||

We consider the problem of stochastic finite- and infinite-horizon linear quadratic control under nonconvex quadratic constraints (in the state and control signal). The calculations of the optimal control law can be done off-line as in the classical linear quadratic Gaussian control | We consider the problem of stochastic finite- and infinite-horizon linear quadratic control under nonconvex quadratic constraints (in the state and control signal). The calculations of the optimal control law can be done off-line as in the classical linear quadratic Gaussian control |

## Latest revision as of 22:01, 19 November 2010

Ather Gattami will be visiting Caltech on 22 Nov (Mon). If you would like to meet with him, please sign up for a time below.

### Schedule

10:30a | Richard (109 Steele) |

11:00a | Seminar (Steele library) |

12:00p | Lunch with Richard |

1:30p | Ufuk |

2:15p | Necmiye |

3:00p | Open |

3:45p | Open |

### Seminar

**Optimal Linear Quadratic Control with Nonconvex Quadratic Constraints**

22 November 2010, 11 am, 114 Steele

We consider the problem of stochastic finite- and infinite-horizon linear quadratic control under nonconvex quadratic constraints (in the state and control signal). The calculations of the optimal control law can be done off-line as in the classical linear quadratic Gaussian control theory using dynamic programming, which turns out to be a special case of the new theory developed.

Short Bio: Dr. Ather Gattami is currently an assistant professor at the Royal Institute of Technology, ACCESS Linnaeus Centre, Electrical Engineering, Stockholm, Sweden. He received the M.S. in Engineering Physics and Ph.D. degree in Engineering Sciences in June 2008, both from Lund University, Sweden. He pursued his Master's Thesis in 2003 at California Institute of Technology, Pasadena, CA, USA. During 2008, he did his post doc studies at the Laboratory for Information and Decision Systems (LIDS), MIT, Boston, USA. Dr. Gattami is supervising a number of doctorate and graduate students at the Royal Institute of Technology, Sweden. His main interests are Decision Theory, Game Theory, Optimization, and Information Theory, with applications in the industry.