Neuro-fuzzy methods for nonlinear system identification

Fuzzy gain scheduling: controller and observer design based on lyapunov method and convex optimization

Optimizing the end-point state-weighting matrix in model-based predictive control

On the trade-off between feasibility and performance in bilinear and state-affine model-based predictive control

Soft computing applications in aircraft sensor management and flight control reconfiguration

An optimization algorithm didicated to a MPC preblem for discrete time bilinear models.

Model-based predictive control for Hammerstein-Wiener systems.

Analysis of interactions in MIMO Takagi-Sugeno fuzzy models

Predictive control by multiple-step linearization of Takagi-Sugeno fuzzy models. Chapter 9. Artificial Intelligence in Real-Time Control 1998

Hybrid model development for fed-batch bioprocesses; combining physical equations with the metabolic network and black-box kinetics

Fuzzy model based predictive control by using Takagi-Sugeno fuzzy models

Hybrid models for fed-batch bioprocesses; combining mass balances with the metabolic network and black-box kinetics

Extraction of local linear models from Takagi-Sugeno fuzzy model with application to model-based predictive control