Feedback Control and Adaptive Learning in Optical-Tweezer Robotics
eBook - ePub

Feedback Control and Adaptive Learning in Optical-Tweezer Robotics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Feedback Control and Adaptive Learning in Optical-Tweezer Robotics

About this book

Feedback Control and Adaptive Learning in Optical-Tweezer Robotics is a comprehensive guide to merging robotic feedback control with optical trapping techniques in cell manipulation. It begins by providing foundational knowledge in dynamic modeling and control theory, essential for understanding optical-tweezer robotics' complexities. The book explores optical trapping principles, discussing traditional approaches' constraints and challenges. It then introduces a unified control methodology designed for dynamic adaptation to cell movement and escape scenarios, highlighting the importance of closed-loop control strategies in navigating the interaction between optical forces and robotic manipulation.Additionally, the book delves into adaptive learning algorithms for real-time adjustments in unknown trapping stiffness, addressing challenges like limited field of view, stochastic disturbances, and handling multiple cells. It integrates open-access simulations and real-world experiments to reinforce theoretical concepts, offering practical examples. This unified approach's potential impact on biomedicine, biotechnology, and microscale robotics is emphasized, making it an invaluable resource for readers in these fields. - Integrates dynamic modeling, feedback control, and adaptive learning with optical tweezer robotics - Offers practical insights and solutions to micro-world challenges, including unknown trapping stiffness, stochastic disturbances, limited field of view, and simultaneous manipulation of multiple cells - Explores advanced theories and control techniques, presenting state-of-the-art methodologies - Provides an open-access simulation environment to access and reproduce the presented results - Presents real-world experimental data

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Yes, you can access Feedback Control and Adaptive Learning in Optical-Tweezer Robotics by Xiang Li,Shu Miao,Chien Chern Cheah in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Title of Book
  2. 1: Introduction
  3. 2: Dynamic trapping and manipulation
  4. 3: State estimation and parameter adaptation
  5. 4: Region control and regional feedback control
  6. 5: Coordination of multiple optical traps
  7. 6: Emerging techniques in optical manipulation
  8. A: Appendix
  9. Bibliography
  10. Index