Linear Control Systems in Engineering: Basics and Beyond
暫譯: 工程中的線性控制系統：基礎與進階

這本教科書探討了經典與現代控制策略，以達到系統的最佳性能，特別是在設計和操作方面。它通過相關的數學和全球實際系統的例子，簡化了控制理論的概念。

Dr. Noman Jafri is a distinguished academic and engineering professional, currently serving as the dean of engineering at Abasyn University in Pakistan. His academic journey has been marked by a commitment to excellence and a passion for engineering innovation. He obtained his master's and PhD in electrical engineering in 1967 from the University of Ottawa in Canada. With his extensive educational background and expertise, Dr. Jafri has made significant contributions to the field of engineering. He has not only been a diligent educator but has also played a pivotal role in shaping the curriculum and research initiatives. Under his leadership, the engineering department has thrived and grown, attracting aspiring engineers from all over Pakistan.

Dr. Imran Shafi is a distinguished Pakistani computer engineer and researcher, known for his pioneering contributions to time-frequency analysis, particularly through the integration of neural networks to enhance signal processing techniques. His research focuses on improving time-frequency distributions (TFDs) for the analysis of nonstationary signals, addressing key challenges such as blurring and cross-term interference that commonly hinder the accuracy of traditional methods. By developing innovative approaches that utilize neural networks, Dr. Shafi has significantly advanced the resolution and energy concentration of TFDs, enabling more precise representation of instantaneous signal frequencies. With over 120 research publications to his name and a substantial citation count, his work has made a lasting impact in the fields of signal processing and computational intelligence, earning recognition within the global academic community.

Dr. Uzair Khaleeq uz Zaman is a highly accomplished academic and globally engaged educator, holding a PhD in industrial engineering from Arts et Métiers ParisTech, France, with over ten years of experience in university teaching, curriculum development, and applied research. Currently serving as associate professor and head of the Mechanical Engineering Department at NUST, Pakistan, he is recognized for his expertise in smart manufacturing, industry 4.0, and digital transformation. Dr. Uzair's international teaching footprint spans France, China, and Luxembourg, where he has delivered lectures and workshops at leading institutions. As a published author, keynote speaker, and subject matter expert, his work focuses on industrial automation, additive manufacturing, and smart manufacturing systems. Moreover, with a strong commitment to bridging academia and industry, he has successfully led industry-funded research projects and consultancy assignments in areas such as manufacturing optimization, warehouse automation using AGVs, and process planning. Beyond his technical expertise, Dr. Uzair is a strong advocate for global academic collaboration and student-centered, outcome-based learning, ensuring that his teaching and research contribute meaningfully to both academic excellence and real-world industrial innovation.

Dr. Atal Anil Kumar is currently working as a professor at the Laboratory of Design, Fabrication, and Control (LCFC), Université de Lorraine as the chair of Robotics for Sustainable and Agile Industry. He has a bachelor's degree in mechatronics and an Erasmus master's in advanced robotics (with scholarship) from France and Italy. He has been awarded a research internship grant by the Indian Institute of Technology, Bombay (IIT-B), for performing research during his bachelor's degree. Before joining as professor, Dr. Atal worked as a research scientist in the Department of Engineering at the University of Luxembourg. Dr. Atal has also worked as an R&D engineer in the automotive and steel manufacturing industries to gain significant hands-on experience to apply his theoretical knowledge. His research interests include nonlinear control, collaborative robots, robot kinematics and dynamics, and human-robot interaction.

Dr. Noman Jafri 是一位傑出的學者和工程專業人士，目前擔任巴基斯坦阿巴辛大學的工程學院院長。他的學術旅程以對卓越的承諾和對工程創新的熱情為標誌。他於1967年在加拿大渥太華大學獲得電機工程碩士及博士學位。憑藉其廣泛的教育背景和專業知識，Jafri博士對工程領域做出了重要貢獻。他不僅是一位勤奮的教育者，還在課程設計和研究計劃方面發揮了關鍵作用。在他的領導下，工程系蓬勃發展，吸引了來自巴基斯坦各地的有志工程師。

Dr. Imran Shafi 是一位傑出的巴基斯坦計算機工程師和研究人員，以其在時間-頻率分析方面的開創性貢獻而聞名，特別是通過整合神經網絡來增強信號處理技術。他的研究專注於改善非平穩信號的時間-頻率分佈（TFDs），解決模糊和交叉項干擾等關鍵挑戰，這些挑戰通常會妨礙傳統方法的準確性。通過開發利用神經網絡的創新方法，Shafi博士顯著提高了TFDs的解析度和能量集中度，使瞬時信號頻率的表示更加精確。他擁有超過120篇研究出版物和可觀的引用次數，其工作在信號處理和計算智能領域產生了持久的影響，並在全球學術界獲得了認可。

Dr. Uzair Khaleeq uz Zaman 是一位成就卓越的學者和全球參與的教育者，擁有法國巴黎高等工藝學院的工業工程博士學位，並在大學教學、課程開發和應用研究方面擁有超過十年的經驗。目前，他擔任巴基斯坦國防科技大學機械工程系的副教授和系主任，因其在智慧製造、工業4.0和數位轉型方面的專業知識而受到認可。Uzair博士的國際教學足跡遍及法國、中國和盧森堡，他在多所頂尖機構進行了講座和工作坊。作為已出版的作者、主題演講者和專家，他的工作專注於工業自動化、增材製造和智慧製造系統。此外，Uzair博士對於橋接學術界和產業界有著強烈的承諾，他成功地領導了多個產業資助的研究項目和諮詢任務，涵蓋製造優化、使用自動導引車（AGVs）的倉庫自動化和流程規劃等領域。除了其技術專業知識外，Uzair博士還積極倡導全球學術合作和以學生為中心的成果導向學習，確保他的教學和研究對學術卓越和現實世界的產業創新做出有意義的貢獻。

Dr. Atal Anil Kumar 目前在法國洛林大學的設計、製造和控制實驗室（LCFC）擔任可持續和靈活產業機器人學的教授。他擁有機電一體化學士學位和法國及意大利的高級機器人學Erasmus碩士學位（獲得獎學金）。他曾獲得印度孟買理工學院（IIT-B）頒發的研究實習獎學金，以便在其學士學位期間進行研究。在擔任教授之前，Atal博士曾在盧森堡大學的工程系擔任研究科學家。Atal博士還曾在汽車和鋼鐵製造行業擔任研發工程師，以獲得顯著的實踐經驗，將其理論知識應用於實際。其研究興趣包括非線性控制、協作機器人、機器人運動學和動力學以及人機互動。