DocumentCode
324099
Title
An expert opinion approach to tune analytical models of nonlinear systems
Author
Chernyshov, K.R. ; Pashchenko, F.F.
Author_Institution
Inst. of Control Sci., Moscow, Russia
Volume
3
fYear
1998
fDate
16-20 May 1998
Firstpage
2383
Abstract
A general approach combining both analytical and expert knowledge-based techniques to identify a nonlinear system model is proposed. The approach leads to using a new type of stochastic dependence of random processes, involving expert opinion, and which is a generalization of the dispersional identification technique
Keywords
control engineering computing; expert systems; intelligent control; nonlinear control systems; random processes; tuning; analytical models; analytical techniques; dispersional identification technique; expert knowledge-based techniques; expert opinion approach; stochastic dependence; Adaptation model; Analytical models; Artificial intelligence; Control systems; Intelligent control; Intelligent systems; Learning systems; Machine intelligence; Nonlinear control systems; Nonlinear systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
Conference_Location
Leuven
ISSN
1050-4729
Print_ISBN
0-7803-4300-X
Type
conf
DOI
10.1109/ROBOT.1998.680697
Filename
680697
Link To Document