This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2022), organized by St. Josephs College of Engineering and Technology, Kottayam, Kerala, India, during July 12, 2022. The book covers state-of-t…
The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control…
This book describes the practical application of artificial intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be con…
"There is a great deal of interest and activity in artificial intelligence, and specifically machine learning, but virtually all of it refers to the software development of isolated data analysis systems, or of control systems for robots and other devices. By applying model-base…
"There is a great deal of interest and activity in artificial intelligence, and specifically machine learning, but virtually all of it refers to the software development of isolated data analysis systems, or of control systems for robots and other devices. By applying model-base…
"There is a great deal of interest and activity in artificial intelligence, and specifically machine learning, but virtually all of it refers to the software development of isolated data analysis systems, or of control systems for robots and other devices. By applying model-base…
Explains how to use neural PD and PID controls to reduce integration gain, and provides explicit conditions on how to select linear PID gains using proof of semi-global asymptotic stability and local asymptotic stability with a velocity observer. These conditions are applied in …
Explains how to use neural PD and PID controls to reduce integration gain, and provides explicit conditions on how to select linear PID gains using proof of semi-global asymptotic stability and local asymptotic stability with a velocity observer. These conditions are applied in …
PID Control with Intelligent Compensation for Exoskeleton Robots explains how to use neural PD and PID controls to reduce integration gain, and provides explicit conditions on how to select linear PID gains using proof of semi-global asymptotic stability and local asymptotic sta…
Explains how to use neural PD and PID controls to reduce integration gain, and provides explicit conditions on how to select linear PID gains using proof of semi-global asymptotic stability and local asymptotic stability with a velocity observer. These conditions are applied in …