Jun Ma, Xiaocong Li, Kok Kiong Tan

Advanced Optimization for Motion Control Systems (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 182
• Erscheinungstermin: 24. Januar 2020
• Englisch
• ISBN-13: 9781000037135
• Artikelnr.: 58563505

Autorenporträt

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.

Inhaltsangabe

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.