Read more
The book is organized into two parts: Part I focuses on the model-based approaches, and Part II presents the data-based approaches. Industrial problems explored in the book are formulated systematically with necessary analysis of the control system synthesis.
List of contents
1 Introduction. I Model-based Optimization for Motion Control Systems. 2 Constrained Linear Quadratic Optimization. 3 Constrained H2 Optimization. 4 Constrained H2 Guaranteed Cost Optimization. II Data-based Optimization for Motion Control Systems. 5 Reduced-order Inverse Model Optimization. 6 Reference Profile Alteration and Optimization. 7 Disturbance Observer Sensitivity Shaping Optimization. Bibliography.
About the author
Jun Ma is currently a Visiting Scholar with the Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, USA. His research interests include control and optimization, precision mechatronics, robotics, and medical technology. He was a recipient of the Singapore Commonwealth Fellowship in Innovation.
Xiaocong Li is currently a Research Scientist with the Mechatronics Group, Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, Singapore. His research interests include precision
motion control, data-driven intelligent control, and industrial automation.
Kok Kiong Tan is currently a Professor with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore. His current research interests include precision motion control and instrumentation, advanced process control and auto-tuning, and general industrial automation.
Summary
The book is organized into two parts: Part I focuses on the model-based approaches, and Part II presents the data-based approaches. Industrial problems explored in the book are formulated systematically with necessary analysis of the control system synthesis.
