Reliable Predictive Control Exploiting Operational Data with Real-time Applications

Project description

Reliable predictive control with real-time applications

Model predictive control (MPC) is widely used in process industries to control constrained systems with multiple inputs and outputs. MPC is commonly used in a two-layer architecture, allowing for the upper layer to provide the optimal operating point. However, studies have shown that a significant improvement in the economic performance of the plant can be obtained if both layers are combined together. One of the issues preventing the adoption of the aforementioned control scheme is the presence of plant–model mismatch. The EU-funded ReConDa project uses the ideas that form the linear control theory to handle the structural plant–model mismatch in a robust non-linear model predictive control (NMPC) framework. As a result, a safe, reliable and resource-efficient operation is established.

Programme(s)

• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019
See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

SLOVENSKA TECHNICKA UNIVERZITA V BRATISLAVE

Address

Vazovova 5
81243 Bratislava
Slovakia

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 155 364,48