Fuzzy Takagi-Sugeno Kang model predictive control for process engineering

A shift from PID control to model predictive control is noted. The fuzzy Takagi-Sugeno Kang (TSK) model provides a hybrid qualitative/quantitative knowledge representation. Its linear autoregressive rule-consequent parts facilitate the concept of adaptive estimation of their parameters. The work (parts of which are described in this paper) has shown how this can be achieved within a model-based predictive control context. This adaptive control architecture has been demonstrated on benchmark process control systems of a SISO nature