Principles of Automation and Control: Theory and Practice is a practical textbook that introduces the fundamental concepts and modern applications of automation and control systems. Designed for students, researchers and engineering professionals, it explains the technologies and control strategies that support efficient, reliable and sustainable industrial operations. With a focus on Industry 4.0, the book combines theoretical foundations with practical examples to illustrate the role of automation in contemporary engineering.




 




 




Part 2 explores IoT-enabled energy management systems, machine learning for clinical diagnosis and predictive maintenance, voice-controlled robotics and unmanned aerial vehicle control. It also examines intelligent manufacturing frameworks, responsible AI in healthcare, adaptive fuzzy logic controllers for energy optimization, AI applications in precision agriculture and modern motor control technologies. Additional chapters review smart switchgear, motor control systems and advanced feedback mechanisms, illustrating how intelligent automation is transforming manufacturing, healthcare, agriculture and industrial control.




 







 




Key Features




 




    Explains advanced automation and intelligent control technologies.




    Covers IoT, artificial intelligence and machine learning applications.




    Examines automation in healthcare, manufacturing, agriculture and robotics.




    Reviews modern motor control systems and feedback mechanisms.




    Combines theoretical concepts with practical engineering applications.




    Structured chapters for easy learning.




    References for further reading.




 




 




 




Readership




 




Engineering students at graduate and post graduate levels; Automation engineers.