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
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;
Conference_Titel :
Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
Conference_Location :
Leuven
Print_ISBN :
0-7803-4300-X
DOI :
10.1109/ROBOT.1998.680697
