paper available

[Jyh-Shing Roger Jang]

The following paper has been placed on the neuroprose archive as 
jang.fuzzy.ps.Z and is available via anonymous ftp (from
archive.cis.ohio-state.edu in the pub/neuroprose directory).
This paper will appear in IEEE Trans. on NN.

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Self-Learning Fuzzy Controllers Based on Temporal Back Propagation

ABSTRACT: This paper presents a generalized control strategy
that enhances fuzzy controllers with self-learning capability
for achieving prescribed control objectives in a near-optimal manner. 
This methodology, termed temporal back propagation, is
model-insensitive in the sense that it can deal with plants that can
be represented in a piecewise differentiable format, such as difference
equations, neural networks, GMDH, fuzzy models, etc. Regardless of the
numbers of inputs and outputs of the plants under consideration, the
proposed approach can either refine the fuzzy if-then rules obtained
from human experts, or automatically derive the fuzzy if-then rules if
human experts are not available. The inverted pendulum system is
employed as a testbed to demonstrate the effectiveness of the proposed
control scheme and the robustness of the acquired fuzzy controller.
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Here is an example of how to retrieve this file:

gvax> ftp archive.cis.ohio-state.edu
Connected to archive.cis.ohio-state.edu.
220 archive.cis.ohio-state.edu FTP server ready.
Name: anonymous
331 Guest login ok, send ident as password.
Password:neuron at wherever
230 Guest login ok, access restrictions apply.
ftp> binary
200 Type set to I.
ftp> cd pub/neuroprose
250 CWD command successful.
ftp> get jang.fuzzy.ps.Z
200 PORT command successful.
150 Opening BINARY mode data connection for jang.fuzzy.ps.Z
226 Transfer complete.
100000 bytes sent in 3.14159 seconds
ftp> quit
221 Goodbye.
gvax> uncompress jang.fuzzy.ps.Z 
gvax> lpr jang.fuzzy.ps
--

J.-S. Roger Jang
571 Evans, EECS Department
Univ. of California
Berkeley, CA 94720
jang at diva.berkeley.edu
(510)-642-5029
fax: (510)642-5775