Pseudoerror-based self-organizing neuro-fuzzy system
The novel concept of pseudoerrors for a self-organizing neuro-fuzzy system (SO-NFS) is proposed for tracking control problem. To demonstrate the proposed approach, an example of motion control of an auto-warehousing crane system is illustrated, which can move back and forth in x, y, and z directions to access and store cargoes. The proposed SO-NFS shows excellent performance in control of the crane system for different loading conditions and varying distances in all directions.
pseudoerror self-organization neuro-fuzzy system clustering learning parameter identification random optimization structure identification