Control Engineering and Artificial Intelligence

Control Engineering and Artificial Intelligence presents a comprehensive and contemporary exploration of control engineering integrated with the rapidly evolving field of artificial intelligence. Designed to meet the academic requirements of undergraduate and postgraduate engineering students, the book also serves as a valuable reference for researchers, faculty members and practicing professionals working in automation, robotics, manufacturing and intelligent systems.

The book systematically introduces the fundamental principles of control engineering, including feedback systems, transfer functions, stability analysis, controllers, time and frequency response, root locus techniques, state-space analysis, controllability, observability and modern control methods. Building upon these classical foundations, it explores the transformative impact of Artificial Intelligence, Machine Learning, Deep Learning, Fuzzy Logic, Neural Networks, Reinforcement Learning, Digital Twins, Internet of Things (IoT), Cyber-Physical Systems and Industry 4.0 on next-generation control systems.

Each chapter combines theoretical explanations with mathematical formulations, solved examples, diagrams, industrial case studies and practical applications drawn from aerospace, automotive engineering, renewable energy, healthcare, smart manufacturing, transportation, process industries and autonomous robotics. The book also highlights emerging research trends, ethical considerations, cybersecurity challenges, sustainability and intelligent decision-making in modern engineering systems.

With its balanced approach to theory and practice, this book enables readers to develop both conceptual understanding and practical problem-solving skills. By bridging the gap between classical control engineering and intelligent automation, it prepares students, educators, researchers and industry professionals to meet the challenges of modern technological innovation and contribute effectively to the development of smart, adaptive and autonomous engineering systems.