期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
卷 68, 期 6, 页码 2418-2431出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSI.2021.3065332
关键词
Integrated circuit modeling; Data models; Circuit synthesis; Optimization; Training; Support vector machines; Computational modeling; Analog and mixed-signal circuits; artificial intelligence; circuit optimization automation; circuit performance modeling
The advancement of Artificial Intelligence has been utilized in Analog and Mixed-Signal circuit design for automated circuit sizing optimization and enhancement of performance models. This paper introduces basic concepts of AI suitable for this application, surveys recent studies of AI techniques in AMS circuit design, discusses approaches, pros and cons, and provides insights on current challenges and recommends methods for specific applications.
Recently, there have been many studies attempting to take advantage of advancements in Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design. Automated circuit sizing optimization and improving the accuracy of performance models are the two predominant uses of AI in AMS circuit design. This paper first introduces and explains the basic concepts in AI especially the ones that are more suitable to this application. Next, it surveys some recent studies of various AI techniques for AMS circuit design. Then, it discusses the main approaches as well as the pros and cons of each method. Finally, it gives meaningful insights about the current challenges and open issues, as well as recommends approaches for specific applications.
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