Review on System Identification, Control, and Optimization Based on Artificial Intelligence
Mathematics, ISSN: 2227-7390, Vol: 13, Issue: 6
2025
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Mathematics, Vol. 13, Pages 952: Review on System Identification, Control, and Optimization Based on Artificial Intelligence
Mathematics, Vol. 13, Pages 952: Review on System Identification, Control, and Optimization Based on Artificial Intelligence Mathematics doi: 10.3390/math13060952 Authors: Pan Yu Hui Wan Bozhi
Review Description
Control engineering plays an indispensable role in enhancing safety, improving comfort, and reducing fuel consumption and emissions for various industries, for which system identification, control, and optimization are primary topics. Alternatively, artificial intelligence (AI) is a leading, multi-disciplinary technology, which tries to incorporate human learning and reasoning into machines or systems. AI exploits data to improve accuracy, efficiency, and intelligence, which is beneficial, especially in complex and challenging cases. The rapid progress of AI facilitates major changes in control engineering and is helping advance the next generation of system identification, control, and optimization methods. In this study, we review the developments, key technologies, and recent advancements of AI-based system identification, control, and optimization methods, as well as present potential future research directions.
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