Analog Integrated Circuit Design Under Pvt Conditions: Efficient Reinforcement and Transfer Learning Techniques
暫譯: 在PVT條件下的類比集成電路設計：高效的強化學習與轉移學習技術

Oliveira Paiva, Pedro Alberto, Mota Da Costa, José Pedro Ponte, de Azevedo, Filipe Parrado

Analog Integrated Circuit Design Under Pvt Conditions: Efficient Reinforcement and Transfer Learning Techniques
  • 出版商: Springer
  • 出版日期: 2026-04-08
  • 售價: $2,500
  • 貴賓價: 9.5 折 $2,375
  • 語言: 英文
  • 頁數: 91
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3032194083
  • ISBN-13: 9783032194084
  • 相關分類: Reinforcement、電路學 Electric-circuits

    • 海外代購書籍(需單獨結帳)

商品描述

This book delivers a focused, technical exploration of automated analog and RF integrated circuit sizing under process, voltage, and temperature variations, guiding readers through foundational concepts, current methodologies, and advanced machine-learning-driven approaches. It first examines multiple reinforcement-learning-based strategies for embedding PVT conditions directly into modern sizing flows, clarifying their conceptual differences and practical implications. It then explores a complementary deep-learning-assisted approach that leverages ANN-based performance regressors, transfer learning, and adaptive refinement to accelerate simulation-driven optimization without requiring extensive corner-specific datasets. Together, these chapters provide a grounded overview of current techniques and ongoing developments in automated analog IC design.

商品描述(中文翻譯)

本書專注於自動化類比和射頻（RF）集成電路在製程、電壓和溫度變化下的尺寸設計，深入探討相關技術，指導讀者了解基礎概念、當前方法論以及先進的機器學習驅動方法。首先，本書檢視多種基於強化學習的策略，將PVT（製程、電壓、溫度）條件直接嵌入現代尺寸設計流程，澄清其概念差異和實際應用。接著，本書探討一種互補的深度學習輔助方法，利用基於人工神經網絡（ANN）的性能回歸模型、遷移學習和自適應精煉，加速模擬驅動的優化，而無需大量特定於角落的數據集。這些章節共同提供了自動化類比集成電路設計中當前技術和持續發展的基礎概述。

作者簡介

Pedro Paiva received a B.Sc. degree in Electrical and Computer Engineering from the Instituto Superior Técnico (IST), University of Lisbon, Portugal, in 2023. He is currently completing his M.Sc. degree in the field of control, robotics, and artificial intelligence at the same institution, with his thesis focusing on electronic design automation of analog integrated circuits. His research interests include machine learning and deep learning.

José Costa received a B.Sc. degree in Electrical and Computer Engineering from the Instituto Superior Técnico (IST), University of Lisbon, Portugal, in 2025. His research interests include machine learning and deep learning.

Filipe Azevedo received his M.Sc. degree in Computer Science and Engineering from the Instituto Superior Técnico (IST), University of Lisbon, Portugal, in 2020. He is currently working on his Ph.D. degree in Electrical and Computer Engineering from the same university, while working with Instituto de Telecomunicações. His research interests include machine learning and generative AI applied to analog IC design automation.

Ricardo Martins received the Ph.D. degree in Electrical and Computer Engineering from Instituto Superior Técnico--University of Lisbon (IST-UL), Portugal, in 2015. He is with Instituto de Telecomunicações since 2011 developing electronic design automation tools and in 2022 became Assistant Professor of the electronics scientific area of the Department of Electrical and Computer Engineering of IST-UL.

作者簡介(中文翻譯)

Pedro Paiva於2023年獲得葡萄牙里斯本大學高等技術學院（Instituto Superior Técnico, IST）電機與計算機工程學士學位。他目前正在該機構完成控制、機器人和人工智慧領域的碩士學位，論文專注於類比集成電路的電子設計自動化。他的研究興趣包括機器學習和深度學習。

José Costa於2025年獲得葡萄牙里斯本大學高等技術學院（Instituto Superior Técnico, IST）電機與計算機工程學士學位。他的研究興趣包括機器學習和深度學習。

Filipe Azevedo於2020年獲得葡萄牙里斯本大學高等技術學院（Instituto Superior Técnico, IST）計算機科學與工程碩士學位。他目前正在該大學攻讀電機與計算機工程的博士學位，同時與電信研究所（Instituto de Telecomunicações）合作。他的研究興趣包括應用於類比IC設計自動化的機器學習和生成式人工智慧。

Ricardo Martins於2015年獲得葡萄牙里斯本大學高等技術學院（Instituto Superior Técnico--University of Lisbon, IST-UL）電機與計算機工程博士學位。他自2011年以來在電信研究所（Instituto de Telecomunicações）開發電子設計自動化工具，並於2022年成為IST-UL電機與計算機工程系電子科學領域的助理教授。

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