Project

Minimal information model multi-objective predictive control for multivariable systems (MIMOPREC)

Code
01N02018
Duration
01 January 2018 → 31 December 2021
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Engineering and technology
    • Automation and control systems
    • Renewable power and energy systems engineering
    • Computer aided engineering, simulation and design
    • Control engineering
    • Motion planning and control
    • Systems theory, modelling and identification
Keywords
predictive control interacting systems adaptive control automatic tuning robustness stability cross-disciplinary applications
 
Project description

This project aims to deliver a new methodology tailored for industrial operators to tune and manage process control by model predictive control strategies in a user-friendly, mixed heuristicmathematic context. The main innovative character is that it no longer requires availability of an accurate prediction model of the complex dynamic process to be controlled with multi-objective optimization.