Abstract
Recently Universal Learning Networks (ULNs) have been proposed, which are a super set of any kinds of supervised learning networks. One of the important features of the ULNs is that the ULNs have a systematic algorithm for calculating higher order derivatives of the criterion function with respect to parameters. And a robust control method and chaos control method using the second order derivatives of the ULNs have been proposed. In this paper, a new control design method of the nonlinear systems is proposed, which is an extension of the above robust control method in terms of considering not only the stability but also the quick response of the systems.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Editors | Anon |
| Publisher | IEEE |
| Pages | 3775-3780 |
| Number of pages | 6 |
| Volume | 4 |
| Publication status | Published - 1998 |
| Externally published | Yes |
| Event | Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA Duration: 1998 Oct 11 → 1998 Oct 14 |
Other
| Other | Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) |
|---|---|
| City | San Diego, CA, USA |
| Period | 98/10/11 → 98/10/14 |
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ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering
Cite this
New nonlinear system control method using second order derivatives of Universal Learning Network. / Hirasawa, Kotaro; Ohbayashi, Masanao; Hashimoto, Masayuki; Furuzuki, Takayuki; Murata, Junichi.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. ed. / Anon. Vol. 4 IEEE, 1998. p. 3775-3780.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - New nonlinear system control method using second order derivatives of Universal Learning Network
AU - Hirasawa, Kotaro
AU - Ohbayashi, Masanao
AU - Hashimoto, Masayuki
AU - Furuzuki, Takayuki
AU - Murata, Junichi
PY - 1998
Y1 - 1998
N2 - Recently Universal Learning Networks (ULNs) have been proposed, which are a super set of any kinds of supervised learning networks. One of the important features of the ULNs is that the ULNs have a systematic algorithm for calculating higher order derivatives of the criterion function with respect to parameters. And a robust control method and chaos control method using the second order derivatives of the ULNs have been proposed. In this paper, a new control design method of the nonlinear systems is proposed, which is an extension of the above robust control method in terms of considering not only the stability but also the quick response of the systems.
AB - Recently Universal Learning Networks (ULNs) have been proposed, which are a super set of any kinds of supervised learning networks. One of the important features of the ULNs is that the ULNs have a systematic algorithm for calculating higher order derivatives of the criterion function with respect to parameters. And a robust control method and chaos control method using the second order derivatives of the ULNs have been proposed. In this paper, a new control design method of the nonlinear systems is proposed, which is an extension of the above robust control method in terms of considering not only the stability but also the quick response of the systems.
UR - http://www.scopus.com/inward/record.url?scp=0032310773&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032310773&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0032310773
VL - 4
SP - 3775
EP - 3780
BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
A2 - Anon, null
PB - IEEE
ER -