Abstract
As several problems arise at the application of adaptive controllers to real industrial processes, for a successful implementation the standard control algorithms have to be combined with heuristically derived safety jackets. These safety nets are often realized in expert systems. This paper presents such an intelligent supervision system, where the heuristic knowledge is represented by fuzzy rules. The fuzzy system designed for adaptive control of a simulated fermenter supervises the semi-continuous identification and the controller tuning procedure. Simulation results show that the application of the proposed algorithm results in a robust and good control performance.
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