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- From: adams@liszt.berkeley.edu (Adam L. Schwartz)
- Newsgroups: sci.engr.control
- Subject: Re: Nonlinear optimal control program available ?
- Message-ID: <1992Dec21.203100.26859@pasteur.Berkeley.EDU>
- Date: 21 Dec 92 20:31:00 GMT
- References: <1h08q1INNl15@flop.ENGR.ORST.EDU> <1992Dec20.051246.20247@cronkite.ocis.temple.edu> <Dec.21.13.36.30.1992.21577@gandalf.rutgers.edu>
- Sender: nntp@pasteur.Berkeley.EDU (NNTP Poster)
- Organization: U.C. Berkeley -- ERL
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- In article <Dec.21.13.36.30.1992.21577@gandalf.rutgers.edu> rgonzal@gandalf.rutgers.edu (Ralph Gonzalez) writes:
- >jwiegand@moe.eng.temple.edu (James Wiegand) writes:
- >
- >I'm not an expert in this area, but I think the only general-purpose
- >approach for nonlinear control systems is the brute-force approach.
-
- Like any other optimization problem, there are much more intelligent
- means for solving optimal control problems than brute force. Take
- a look at "Computational Methods in Optimization," Polak, 1971.
-
-
- >In the 60's, King-Sun Fu and others took the approach of partitioning
- >state space, and "learning" the (sub) optimal control action for
- >each element of the partition, on-line. The resulting "lookup-table"
- >allows the controller to select the best control action for each
- >point in state space.
-
- There was another approach similar to this that was recently suggested
- which is done off-line (no learning involved). It is based on iteratively
- solving the Dynamic Program which arrises out of the optimal control
- problem. The article is "On the Application of Iterative Dynamic
- Programming to Singular Optimal Control Problems," R. Luus, IEEE Trans.
- on Autom. Cntrl., Nov. 1992, pp. 1802-1806. I'm not necessarily suggesting
- this method, though.
-
- -Adam Schwartz
- adams@robotics.berkeley.edu
- U.C. Berkeley
-