Advances in Control Systems and Automatic Control, 2nd Edition

Dear Colleagues,

Advances in digital processing hardware have resulted in faster sampling rates and provided the opportunity for the development of control schemes with ever-increasing complexity. The use of control systems and automation has drastically increased over the past few years, setting a trend that is likely to continue into the future. Control systems now have practical relevance to advancements in sensors, actuators, control algorithms, and the application of machine learning. Control systems are required to carry out a variety of difficult activities in unpredictable working conditions, either with or without the assistance of human operators. In order to accomplish this, newly developed sensing, actuation, and control technologies have been thoroughly incorporated into increasingly sophisticated automated systems. This combined complexity creates significant difficulties for modern automatic systems. With intelligent control and cutting-edge technologies, significant advancements in automation are anticipated.

The purpose of this Special Issue is to give subject matter specialists a forum for the development of an innovative control strategy. This pulication will cover every facet of control engineering, including system identification, design, implementation, and analysis, for real-world control systems. Applications in mechatronic systems, robotics, automated manufacturing, power, aerospace, automotive, and electronic systems, among others, may be included. Topics might include, but are not limited to, the following areas:

• Nonlinear, adaptive, and robust control;
• Current trends in PID;
• Vibration control;
• Fault detection;
• Machine learning in control systems;
• Model-based control;
• Model predictive control (MPC);
• System identification;
• Fuzzy control.

Dr. Satyam Paul
Dr. Davood Khodadad
Dr. Rob Turnbull
Guest Editors

Manuscript Submission Information

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