Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning

- Multivariate adaptive hybrid neuro-fuzzy system and its learning algorithm are proposed.
- Processing of nonstationary noised stochastic and chaotic signal in sequential mode.
- On-board applications - industrial plants, smart homes (energy management, climate control, home electronic devices including security system).

In the paper the multivariate adaptive hybrid neuro-fuzzy system is proposed that allows to process nonstationary information disturbed by noises in sequential mode and also has smaller number of tuned parameters comparatively with known neuro-fuzzy systems. This proposed system can be used in on-board applications and, first of all, industrial plants, smart homes (energy management, climate control, home electronic devices including security system, etc.).