Optimization Methods

ECSE-6430

Linear programming, nonlinear programming, iterative methods, and dynamic programming are presented, especially as they relate to optimal control problems. Discrete and continuous optimal regulators are derived from dynamic programming approach, which also leads to the Hamilton-Jacobi-Bellman Equation and the Minimum Principle. Linear quadratic regulators, linear tracking problems, and output regulators are treated. Linear observer and the separation theorem are developed for feedback controller implementation.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
Optimization Methods (3c)
  • Joe H Chow
Seats Taken: 7/36
2006
2005
Optimization Methods (3c)
  • Joe H Chow
Seats Taken: 22/25
2004
2003
Optimization Methods (3c)
  • Joe H Chow
Seats Taken: 15/30
2002
Optimization Methods (3c)
  • Joe H Chow
Seats Taken: 21/30
2001
Optimization Methods (3c)
  • H Austin Spang
Seats Taken: 13/30
2000
Optimization Methods (3c)
  • H Austin Spang
Seats Taken: 16/30
1999
Optimization Methods (3c)
  • H Austin Spang
Seats Taken: 10/30
1998
Optimization Methods (3c)
  • Howard Kaufman
Seats Taken: 16/30