Controlling a Bank Model Economy by Using an Adaptive Model Predictive Control with Help of an Extended Kalman Filter
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
This paper describes a bank-customer model and proposes a control scheme algorithm which guarantees to obtain a desired capital to asset ratio. The used control system is an Adaptive Model Predictive Control (MPC). The MPC offers the possibility to control the error between capital/asset ratio and the ratio required by the bank under the Basel regulatory framework, which should converge to zero. The uncertainties of the model are estimated by an Extended Kalman Filter and the model is online adapted to realize the prediction.
| Original language | English |
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| Title of host publication | Proceedings of the 2020 21st International Carpathian Control Conference (ICCC) : Virtual Conference, Košice, Slovak Republic October 27 - 29, 2020 |
| Editors | Ivo Petráš , Ján Kačur |
| Number of pages | 6 |
| Place of Publication | Piscataway |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 27.10.2020 |
| Article number | 9257221 |
| ISBN (print) | 978-1-7281-1952-6 |
| ISBN (electronic) | 978-1-7281-1951-9 |
| DOIs | |
| Publication status | Published - 27.10.2020 |
| Event | 21st IEEE International Carpathian Control Conference - ICCC 2020 - Online, Virtual, Kosice, Slovakia Duration: 27.10.2020 → 29.10.2020 Conference number: 21 https://iccc.fberg.tuke.sk/ https://iccc.fberg.tuke.sk/ |
- Adaptive Model Predicitive Control, Bank System Model, Extended Kalman Filter, Simulation
- Engineering