Predictive Control Using Self-Tuning Model Predictive Controllers Library

The paper is focused on a library of adaptive controllers which use model predictive control design. The Self-Tuning Model Predictive Controllers Library (STuMPCoL) has been designed in the MATLAB / Simulink environment and contains a framework for design and testing of Model predictive control approach combined with on-line identification of controlled process (self-tuning control). The paper presents techniques incorporated into the STuMPCoL and describes structure of self-tunig model predictive controllers. Moreover, the contribution includes some results obtained by simulation and real-time verification of the library.