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An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning. The rule-base and parameters of the TS model...
Persistent link: https://www.econbiz.de/10009433433
This paper describes an approach to design self-developing and self-tuning inferential soft sensors applicable to process industries. The proposal is for a Takagi-Sugeno-fuzzy system framework that has evolving (open structure) architecture, and an on-line (possibly real-time) learning...
Persistent link: https://www.econbiz.de/10009433620
A new approach to passive detection and avoidance of collision and near-collision with moving obstacles by Uninhabited Aerial Systems (UAS) is proposed in this paper. It takes as inputs the bearings between the ownship and the moving obstacles (intruders) only. Bearings can be measured by...
Persistent link: https://www.econbiz.de/10009433621