TY  - JOUR
AB  - This paper describes a software architecture which supports the design of hierarchical controllers that provide facilities for adaptation, supervision and task planning. It details how this form of functional hierarchy differs from the structural hierarchy also inherent within a complex control system. Then, both forms of hierarchy are combined in a single design notation and development methodology. The system 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 1008K. The system supports the design of a hierarchical controller that provides facilities for adaptation, supervision and task planning. Simulation results are presented.
VL  - 29
IS  - 7/8
SN  - 0368-492X
DO  - 10.1108/03684920010342099
UR  - https://doi.org/10.1108/03684920010342099
AU  - Abbod M.F.
AU  - Linkens D.A.
AU  - Browne A.
AU  - Cade N.
PY  - 2000
Y1  - 2000/01/01
TI  - A blackboard software architecture for integrated intelligent control systems
T2  - Kybernetes
PB  - MCB UP Ltd
SP  - 999
EP  - 1015
Y2  - 2024/04/23
ER  -