Fuzzy identification and control of a liquid level rig
The proposed controller has the advantages of on-line control and adaptability to changing process conditions. The control algorithm is based on prediction obtained from a fuzzy process model. The controller has some learning properties which are demonstrated by its application to the control of a laboratory liquid level rig. Experimental results show that the suggested controller outperforms some convenient controllers. The authors mention some interesting problems which are to be the subject of further research.
scientific article; zbMATH DE number 4130268
scientific article