Title :
Blackboard architecture for intelligent control system
Author :
Linkens, D.A. ; Abbod, M.F. ; Browne, A.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
Abstract :
A blackboard for integrated intelligent control systems (BIICS) software architecture has been developed. The system is designed to simultaneously support multiple heterogeneous intelligent paradigms, such as neural networks, expert systems, fuzzy logic and genetic algorithms. It is shown how such paradigms are assimilated into the software architecture. This paper describes the BIICS system as it utilises intelligent control techniques (neuro-fuzzy and genetic optimisation) for controlling a cryogenic plant used for superconductor testing by cooling the test samples to temperatures below 100 K
Keywords :
blackboard architecture; cryogenics; expert systems; fuzzy neural nets; genetic algorithms; intelligent control; software architecture; temperature control; blackboard architecture; cooling; cryogenic plant; expert systems; fuzzy neural networks; genetic algorithms; intelligent control systems; software architecture; Algorithm design and analysis; Computer architecture; Expert systems; Fuzzy logic; Genetic algorithms; Intelligent control; Intelligent networks; Neural networks; Software architecture; System testing;
Conference_Titel :
Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-5670-5
DOI :
10.1109/ETFA.1999.813123
