scholarly journals The Synthesis Problem of the Optimum Control for Nonlinear Stochastic Structures in the Multistructural Systems and Methods of Its Solution

10.5772/9741 ◽  
2010 ◽  
Author(s):  
Sergey V.
Author(s):  
A.V. Dotsenko

The article considers an automated process of synthesising a continuous dynamic stabilization system based on multilayer neural networks. We propose a two-stage solution to the synthesis problem. The first stage involved generating the training dataset. It meant solving the optimum control problem for the dynamic system under consideration multiple times with various initial conditions. We derived optimum control for every initial condition as a function of object states. The second stage involved approximation of the training dataset we generated, which used a multilayer perceptron neural network. This perceptron represents a control unit that covers the entire initial condition space of the control object. The innovative aspect of our work is as follows: we reduced the synthesis problem to the approximation problem, that is, we sought a closed stabilising system by means of approximating the optimum controls obtained while minimising a functional of the integral type. The paper presents a numerical experiment in synthesising a stabilisation system for a track-laying robot. In order to test the stabilisation system synthesised, we consider initial conditions outside the training dataset and show how the system operates when externally perturbed


2002 ◽  
Vol 58 (9-10) ◽  
pp. 9
Author(s):  
Efim Grigor'evich Zelkin ◽  
Victor Filippovich Kravchenko ◽  
Miklhail Alekseevich Basarab

Author(s):  
A. M.  Litvinenko ◽  
◽  
D. S.  Baranov ◽  
A. E.  Novikov ◽  
◽  
...  

2018 ◽  
Author(s):  
Jakub Krzysztof Grabski ◽  
Tomasz Walczak ◽  
Jacek Buśkiewicz ◽  
Martyna Michałowska

2002 ◽  
Vol 26 (6) ◽  
pp. 665-679 ◽  
Author(s):  
R. Whalley ◽  
M. Ebrahimi
Keyword(s):  

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