Enhancing the Control of Systems and Devices: Improving Performance, Reliability and Adaptability in Dynamic Environments provides an in-depth exploration of the application of sophisticated control design strategies to enhance the control of systems and devices in terms of performance, reliability, and adaptability in dynamic environments. A sophisticated control design strategy refers to the use of advanced and intricate control techniques to achieve specific objectives in complex systems.
1. Introduction
2. Fundamentals of Control Systems in Process Engineering
3. Model Predictive Control
4. Adaptive Control
5. Nonlinear Control
6. Optimal Control
7. Kalman Filtering and Its Performance
8. Machine Learning-based Adaptive Control
9. Fault-Tolerant Control
10. Intelligent Path Planning
11. Sensor Fusion and Its Performance
12. Cybersecurity Measures and its Mitigation
13. Human-Machine Interface (HMI) and Its Application Conclusions
Dr. Sheetla Prasad is an Associate Professor at the Department of Electrical, Electronics and Communication Engineering, Galgotias University, Uttar Pradesh, India. Sheetla Prasad received the bachelors degree (B.Tech.) in Electrical and Electronics Engineering from Biju Patnaik University of Technology, Rourkela, India in 2010, the master in technology (M.Tech.) in Power Systems from National Institute of Technology, Tiruchirappalli India in 2012, and the philosophy of doctorate (Ph.D.) degree in Electrical Engineering from Motilal Nehru National Institute of Technology Allahabad, India in 2017 respectively. His research interest includes, sliding mode control, load frequency control, cyber-attacks on automatic generation systems, microgrid operation and control, Intelligent controller design, Multi-terminal DC system power flow control, droop control.
Dr. Vipin Chandra Pal is an Assistant Professor in the Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Assam, India. He has completed his Ph.D. in the area of control systems from Motilal Nehru National Institute of Technology Allahabad, Uttar Pradesh in 2017. He did his M.Tech. (with Gold Medal) in Control & Instrumentation Engineering from the department of Electrical Engineering, Motilal Nehru National Institute of Technology Allahabad, UP in 2012 and B.Tech in Electronics Instrumentation and Control Engineering form Uttar Pradesh Technical University Lucknow, UP in 2006. His research interests include Time delay Systems, Modeling and control of Electric Vehicle, model order reduction, electronic devices and renewable energy applications, Biological Control System.
Dr. Mohamad Rashid Ansari is a Professor at the Department of Electrical, Electronics and Communication Engineering, Galgotias University, India. He has earned his B.Tech., from, AMU, Aligarh in 2001, M.Tech. (Digital Systems), from MNNIT, Allahabad, in the year 2003 and completed his Ph.D. from Jamia Millia Islamia (A Central University) in 2019. He is having more than twenty years of teaching and research experience. His areas of interest include Control Systems, Artificial Intelligent, Network-on-Chip, Digital Signal Processing and Image Processing.
