Intelligent control system of autonomous objects

5th International Workshop on Mathematical Models and their Applications 2016

Engel, E.A.^1 ; Kovalev, I.V.^2 ; Engel, N.E.^1 ; Brezitskaya, V.V.^2 ; Prohorovich, G.A.^2

Katanov State University of Khakassia, Abakan, Russia^1

Siberian State Aerospace University, Krasnoyarsk, Russia^2

关键词: Adaptive fuzzy;    Autonomous objects;    Control signal;    Different layers;    High-level reasoning;    Multiagent;    Random perturbations;    Reactive layers;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/173/1/012024/pdf
DOI  :  10.1088/1757-899X/173/1/012024

来源: IOP

【 摘 要 】

This paper presents an intelligent control system of autonomous objects as framework. The intelligent control framework includes two different layers: a reflexive layer and a reactive layer. The proposed multiagent adaptive fuzzy neuronet combines low-level reaction with high-level reasoning in an intelligent control framework. The formed as the multiagent adaptive fuzzy neuronet the intelligent control system on the base of autonomous object's state, creates the effective control signal under random perturbations.