From PID to Model Predictive Control: A Review of Industrial Feedback Control Practice

PID controllers and model predictive control (MPC) are the two best-known feedback control approaches in industry. This review summarises a textbook on PID control, the classical Ziegler–Nichols tuning paper, a survey on the stability and optimality of constrained MPC and a survey of industrial MPC technology. It describes the features and trade-offs of each approach as presented in the sources. This is a narrative review; it contains no new data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23983467
Primary Topic
Advanced Control Systems Optimization
Type
preprint
Controls
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preprint

From PID to Model Predictive Control: A Review of Industrial Feedback Control Practice

Sahetnur Durdyyev, Yslam Orazov, Bahtyýar Ilgeldiýew
Zenodo (CERN European Organization for Nuclear Research)
Advanced Control Systems Optimization
preprint

From PID to Model Predictive Control: A Review of Industrial Feedback Control Practice

Sahetnur Durdyyev, Yslam Orazov, Bahtyýar Ilgeldiýew
preprint en

Abstract

PID controllers and model predictive control (MPC) are the two best-known feedback control approaches in industry. This review summarises a textbook on PID control, the classical Ziegler–Nichols tuning paper, a survey on the stability and optimality of constrained MPC and a survey of industrial MPC technology. It describes the features and trade-offs of each approach as presented in the sources. This is a narrative review; it contains no new data.

Zenodo (CERN European Organization for Nuclear Research)
Oguz Han Engineering and Technology University of Turkmenistan (TM)
Advanced Control Systems Optimization
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