Performance Increasing of Multiple Model Based Control


Shamsaddinlou A., Tohidi A., Shamsadinlo B.

IEEE International Conference on Control Applications (CCA), Hyderabad, Pakistan, 28 - 30 August 2013, pp.599-604 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/cca.2013.6662815
  • City: Hyderabad
  • Country: Pakistan
  • Page Numbers: pp.599-604

Abstract

In this paper, two novel supervisory method for Multiple Models Predictive Control (MMPC) algorithm presented. Enhanced decision-making unit in MMPC is designed based on practical applicability notions and new fundamental control concepts. The goal is performance increasing of regulation and disturbance rejection. Presented algorithms are evaluated in simulation study on nonlinear pH neutralization process and Mean Arterial Pressure. Comparison results are provided to evaluate the performance and robustness characteristics of the proposed methods.