Abstract
In this study, by combining model predictive control with economic model predictive control, a new variable cost function with tracking error is presented to have optimal and efficient tracking performance for first-order linear systems. Weigh matrices, which are often considered constant, in this paper are considered variable with tracking error. The criterion for comparing the proposed controller with other conventional predictive controllers is the steady-state error with the least energy consumption. The stability of the closed loop system under new controller is proved and the effectiveness of the proposed method is verified with some simulation examples.
Original language | English |
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Title of host publication | 2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9780738124056 |
DOIs | |
Publication status | Published - 23 Feb 2021 |
Externally published | Yes |
Event | 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021 - Tabriz, Iran, Islamic Republic of Duration: 23 Feb 2021 → 24 Feb 2021 |
Publication series
Name | 2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021 |
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Conference
Conference | 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021 |
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Country/Territory | Iran, Islamic Republic of |
City | Tabriz |
Period | 23/02/21 → 24/02/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Cost Function
- Economic Model Predictive Control
- Model Predictive Control
- Strong Duality