학술논문

Design of self-organized intelligent control systems based on quantum fuzzy inference: intelligent system of systems engineering approach
Document Type
Conference
Source
2005 IEEE International Conference on Systems, Man and Cybernetics System, Man and Cybernetics Systems, Man and Cybernetics, 2005 IEEE International Conference on. 4:3835-3840 Vol. 4 2005
Subject
Robotics and Control Systems
Computing and Processing
Components, Circuits, Devices and Systems
Intelligent control
Fuzzy control
Fuzzy systems
Intelligent systems
Design engineering
Systems engineering and theory
Robust control
Fuzzy sets
Control systems
Maintenance engineering
Robust Intelligent Control
Self-Organization
Quantum fuzzy inference
Quantum Computing
System of Systems Engineering
Language
ISSN
1062-922X
Abstract
This report presents a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of fuzzy controllers by supplying a self-organizing capability. It is demonstrated that fuzzy controllers prepared to maintain control object in the prescribed conditions are often fail to control when such a conditions are dramatically changed. We propose the solution of such kind of problems by introducing a generalization of strategies in fuzzy inference from a set of pre-defined fuzzy controllers by new quantum fuzzy inference based systems (prototype of intelligent system of systems engineering). We stress our attention on the robustness features of intelligent control systems.