Artificial Neural Networks for System Identification and Control
暫譯: 系統識別與控制的人工神經網絡

Seker, Serhat, Akinci, Tahir Cetin, Martinez-Morales, Alfredo A.

  • 出版商: CRC
  • 出版日期: 2026-06-01
  • 售價: $4,280
  • 貴賓價: 9.5$4,066
  • 語言: 英文
  • 頁數: 104
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041049110
  • ISBN-13: 9781041049111
  • 相關分類: Machine Learning
  • 尚未上市,無法訂購

商品描述

In an age where intelligent systems are transforming engineering practice, Artificial Neural Networks for System Identification and Control offers a clear roadmap to mastering artificial intelligence (AI)-driven modeling and control. From mathematical neuron models to adaptive Artificial Neural Network (ANN)-based controllers, this book combines theory, algorithms, and hands-on coding to help readers design and analyze intelligent systems. Rich with visual examples and real-world case studies, it demonstrates how neural networks outperform traditional control methods in handling nonlinearity, uncertainty, and dynamic system behavior.

  • Offers a practical and accessible guide to ANN-based system identification and control
  • Blends mathematical insight with real engineering applications
  • Provides Python-supported examples and visual case studies
  • Highlights key advances in nonlinear modeling and adaptive control design
  • Bridges the gap between theory, simulation, and real-world deployment

This book is intended for engineers, researchers, and advanced students seeking to apply artificial intelligence to control theory, robotics, and signal processing and to design smarter, more adaptive engineering systems.

商品描述(中文翻譯)

在智能系統改變工程實踐的時代,人工神經網絡在系統識別與控制中的應用 提供了一條清晰的路徑,幫助讀者掌握以人工智慧(AI)驅動的建模與控制。從數學神經元模型到基於自適應人工神經網絡(ANN)的控制器,本書結合了理論、演算法和實作編碼,幫助讀者設計和分析智能系統。書中充滿了視覺範例和真實案例研究,展示了神經網絡在處理非線性、不確定性和動態系統行為方面如何超越傳統控制方法。


  • 提供一個實用且易於理解的ANN基礎系統識別與控制指南

  • 將數學洞察與真實工程應用相結合

  • 提供支持Python的範例和視覺案例研究

  • 突顯非線性建模和自適應控制設計的關鍵進展

  • 彌合理論、模擬與實際部署之間的差距

本書旨在幫助工程師、研究人員和尋求將人工智慧應用於控制理論、機器人技術和信號處理的高級學生,設計更智能、更具適應性的工程系統。

作者簡介

Serhat Seker currently serves as a Full Professor in the Department of Electrical Engineering at Istanbul Technical University (ITU). He completed his undergraduate studies in electrical engineering and pursued his graduate education in electrical and nuclear engineering. His academic and research interests focus on cognitive systems, data processing, signal analysis, and the artificial intelligence-based monitoring of energy systems. Professor Seker has extensive international research experience, having collaborated with research groups at the University of Tennessee in the United States and the Energy Research Centre of the Netherlands. In recognition of his scientific contributions, he was awarded the title of Honorary Professor by the National University of Radio Electronics (NURE) in Ukraine. Between 2014 and 2020, he served as the Dean of the Faculty of Electrical and Electronics Engineering at ITU, where he played a significant role in academic and administrative development. He currently teaches in the Department of Electrical Engineering at ITU and at ESIGELEC Graduate School of Engineering in France. In addition, he provides academic consultancy for the establishment and development of the Electrical Engineering Department at the University of Djibouti in Africa, where he also teaches. Alongside his scientific research, Professor Seker is an active author, having published ten books, including one textbook, as well as numerous articles, conference papers, and seminar contributions.

Tahir Cetin Akinci (Senior Member, IEEE) earned a bachelor's degree in electrical engineering in 2000, followed by a master's and a PhD in 2005 and 2010, respectively. From 2003 to 2010, he served as a Research Assistant in the Department of Electrical Engineering at Marmara University in Istanbul, Türkiye. In 2020, he was promoted to Full Professor at Istanbul Technical University (ITU), where he also held administrative appointments, including Associate Dean of the Graduate School and the Faculty of Electrical and Electronics Engineering. Dr. Akinci is currently engaged in academic and research activities at the University of California, Riverside (UCR), within the Bourns College of Engineering Center for Environmental Research and Technology (CE-CERT) and Florida Polytechnic University. His research interests include artificial neural networks, deep learning, machine learning, cognitive systems, signal processing, power systems, renewable energy systems, and data analytics. He continues to contribute to both theoretical and applied research in intelligent systems and data-driven modeling.

Alfredo A. Martinez-Morales serves as the Managing Director of the Southern California Research Initiative for Solar Energy (SC-RISE) and holds the position of Research Professor at the Bourns College of Engineering Center for Environmental Research and Technology (CE-CERT). He earned a BS, an MS, and a PhD in electrical engineering at the University of California, Riverside (UCR) in 2005, 2008, and 2010, respectively. His current research focuses on solar cells, alkali metal ion batteries, highly integrated renewables, energy storage systems, and microgrids. Dr. Martinez-Morales plays a key role as a principal investigator in the Sustainable Integrated Grid Initiative and the Distributed Energy Resources Laboratory at UCR, contributing to the engineering, permitting, and deployment of microgrids throughout Southern California.

作者簡介(中文翻譯)

Serhat Seker 目前擔任伊斯坦堡科技大學 (ITU) 電機工程系的正教授。他在電機工程領域完成了本科學位,並在電機與核工程方面進行了研究生教育。他的學術與研究興趣集中在認知系統、數據處理、信號分析以及基於人工智慧的能源系統監控。Seker 教授擁有豐富的國際研究經驗,曾與美國田納西大學及荷蘭能源研究中心的研究團隊合作。因其科學貢獻,他獲得烏克蘭國立電子無線電大學 (NURE) 的榮譽教授稱號。在 2014 年至 2020 年期間,他擔任 ITU 電機與電子工程學院的院長,對學術及行政發展發揮了重要作用。他目前在 ITU 電機工程系及法國 ESIGELEC 工程研究所教授課程。此外,他還為非洲吉布地大學電機工程系的建立與發展提供學術諮詢,並在該校授課。除了科學研究外,Seker 教授還是一位活躍的作者,出版了十本書籍,包括一本教科書,以及多篇文章、會議論文和研討會貢獻。

Tahir Cetin Akinci (IEEE 高級會員) 於 2000 年獲得電機工程學士學位,並於 2005 年和 2010 年分別獲得碩士和博士學位。從 2003 年到 2010 年,他在土耳其伊斯坦堡的馬爾馬拉大學電機工程系擔任研究助理。2020 年,他被晉升為伊斯坦堡科技大學 (ITU) 的正教授,並擔任多個行政職位,包括研究生院副院長及電機與電子工程學院副院長。Akinci 博士目前在加州大學河濱分校 (UCR) 的 Bourns 工程學院環境研究與技術中心 (CE-CERT) 和佛羅里達理工大學從事學術與研究活動。他的研究興趣包括人工神經網絡、深度學習、機器學習、認知系統、信號處理、電力系統、可再生能源系統及數據分析。他持續為智能系統和數據驅動建模的理論與應用研究做出貢獻。

Alfredo A. Martinez-Morales 擔任南加州太陽能研究倡議 (SC-RISE) 的執行董事,並在 Bourns 工程學院環境研究與技術中心 (CE-CERT) 擔任研究教授。他於 2005 年、2008 年和 2010 年在加州大學河濱分校 (UCR) 獲得電機工程的學士、碩士和博士學位。他目前的研究重點包括太陽能電池、鹼金屬離子電池、高度整合的可再生能源、能源儲存系統和微電網。Martinez-Morales 博士在可持續整合電網倡議和 UCR 的分散式能源資源實驗室中擔任主要研究員,對南加州微電網的工程、許可和部署做出了重要貢獻。