Linear Control Systems in Engineering - Jafri, Noman

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Résumé :
This textbook examines classical and modern control strategies toward systems' best performance, especially concerning design and operations. It simplifies control theory concepts through related mathematics and examples of real-life systems worldwide....

Biographie:

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 M?tiers 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), Universit? 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...

Sommaire:

1. Linear Control System. 2. Laplace Transform. 3. Modeling of Control System-Transfer Function Approach. 4. Modeling of Control Systems - Signal Flow Graph Approach. 5. System Types and Steady-State Error Description. 6. Time Response Analysis. 7. Stability of Linear Systems. 8. Control System Analysis and Design by Root Locus Analysis. 9. Frequency Domain Analysis of Control Systems. 10. State Variable Method for Analysis of Control Systems. 11. Modern Methods for Analysis of Control Systems.