Fuzzy Logic modelling capability in order to implement a hybrid AI system based on knowledge base, sensory input and human expertise. This methodology will enable a linguistic rule-based plant model explainable in its nature, and will be used as a decision support system.
This technology will enable the controller design including (a) expert rules, obtained from operator knowledge or data, (b) controller design based on mathematical models, or (c) system identification based on I/O data and controller design.
This technology can also serve to implement a Feedback error learning (FEL) control scheme. FEL is applied as an on-line sequential learning strategy of inverse dynamics, that will be used as a feedforward command. It sequentially acquires an pseudo-inverse model of a plant through feedback control actions.
For more information, please contact:
- Luka Eciolaza – firstname.lastname@example.org