Modeling and Control for Micro/Nano Devices and Systems

Modeling and Control for Micro/Nano Devices and Systems

by Ning Xi, Mingjun Zhang, Guangyong Li
Released December 2017
Publisher(s): CRC Press
ISBN: 9781351832182

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Book description

Micro/nano-scale engineering—especially the design and implementation of ultra-fast and ultra-scale energy devices, sensors, and cellular and molecular systems—remains a daunting challenge. Modeling and control has played an essential role in many technological breakthroughs throughout the course of history. Therefore, the need for a practical guide to modeling and control for micro/nano-scale devices and systems has emerged.

The first edited volume to address this rapidly growing field, Modeling and Control for Micro/Nano Devices and Systems gives control engineers, lab managers, high-tech researchers, and graduate students easy access to the expert contributors’ cutting-edge knowledge of micro/nanotechnology, energy, and bio-systems. The editors offer an integrated view from theory to practice, covering diverse topics ranging from micro/nano-scale sensors to energy devices and control of biology systems in cellular and molecular levels. The book also features numerous case studies for modeling of micro/nano devices and systems, and explains how the models can be used for control and optimization purposes. Readers benefit from learning the latest modeling techniques for micro/nano-scale devices and systems, and then applying those techniques to their own research and development efforts.

Table of contents

  1. Cover Page
  2. Half title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. 1 On the Principles of Quantum Control Theory
    1. 1.1 Introduction
    2. 1.2 Mechanism of Quantum Control
    3. 1.3 Modeling and Analysis of Quantum Control Systems
    4. 1.4 Control Design Methodologies
      1. 1.4.1 Open-Loop Control of Quantum Systems
      2. 1.4.2 Closed-Loop Control of Quantum Systems
    5. 1.5 Perspectives
    6.  Acknowledgments
  8. 2 Modeling and Simulation of Silicon Nanowire-Based Biosensors
    1. 2.1 Introduction
    2. 2.2 The Basics of SiNW-Based FET Biosensors
    3. 2.3 Theoretical Approaches
    4. 2.4 Simulation Results and Discussions
      1. 2.4.1 Surface Potential on SiNW
      2. 2.4.2 I-V Characteristics of SiNW FET biosensors
      3. 2.4.3 Sensitivity Analysis
      4. 2.4.4 Discussion
    5. 2.5 Conclusions and Perspectives
  9. 3 Modeling and Simulation of Organic Photovoltaic Cells
    1. 3.1 Introduction
    2. 3.2 Fundamentals of Organic Photovoltaic Cells
    3. 3.3 Optical Modeling
    4. 3.4 Electrical Modeling and Simulation by Drift-Diffusion Model
    5. 3.4 Electrical Modeling and Simulation by Monte Carlo Model
    6. 3.5 Discussion and Conclusion
  10. 4 Optimization of Organic Photovoltaic Cells
    1. 4.2 Optimizing Device Thickness via Optical Modeling and Electrical Simulation
    2. 4.3 Optimizing Device via Multiscale Simulation
    3. 4.4 Discussion and Conclusion
  11. 5 Developing a Dynamics Model for Epidermal Growth Factor (EGF)-Induced Cellular Signaling Events
    1. 5.1 Introduction
      1. 5.1.1 AFM Energy Dissipation and Hysteresivity Measurements
      2. 5.1.2 QCM-D Energy Dissipation Measurement
    2. 5.2 Model Development
      1. 5.2.1 AFM Viscoelastic Characterization
      2. 5.2.2 QCM- D-Based Cell Membrane Peeling Model
    3. 5.3 Results and Discussion
    4. 5.4 Conclusion
    5.  Acknowledgments
  12. 6 Modeling and Experimental Verifications of Cell Tensegrity
    1. 6.1 Introduction
    2. 6.2 Decrease in Cell Stiffness Resulting from Desmosome Disruption
      1. 6.2.1 Decrease in Stiffness Resulting from Desmosome Disassembly
      2. 6.2.2 Decrease in Stiffness Resulting from AFM- Based Nanosurgery
    3. 6.3 Quantitative Modeling Based on Six Struts Tensegrity Structure
      1. 6.3.1 Without Intermediate Filaments
      2. 6.3.2 With Intermediate Filaments
    4. 6.4 Conclusion and Perspectives
    5.  Acknowledgments
  13. 7 Modeling Swimming Micro/Nano-Systems in Low Reynolds Number
    1. 7.1 Introduction
    2. 7.2 Prokaryotic Cell Swimming Strategies
      1. 7.2.1 Prokaryotic Flagella
      2. 7.2.2 Twitching Motility
      3. 7.2.3 Gliding Motility
    3. 7.3 Eukaryotic Cell Swimming Strategies
      1. 7.3.1 Eukaryotic Flagella
      2. 7.3.2 Cilia
      3. 7.3.3 Pseudopodia
    4. 7.4 Dynamics Modeling and Analysis of a Swimming Microrobot for Controlled Drug Delivery
      1. 7.4.1 Before Bifurcation
      2. 7.4.2 After Bifurcation
    5. Acknowledgment
  14. 8 Modeling and Analysis of the Cellular Mechanics Involved in the Pathophysiology of Disease/Injury
    1. 8.1 Introduction
    2. 8.2 Modeling, Analysis, and Control of Cellular Mechanics in Disease/Injury
    3. 8.3 Applications in Cancer
    4. 8.4 Applications in Cardiovascular Disease
    5. 8.5 Advances in Experimental and Imaging Techniques (BioMEMS/NEMS)
    6. 8.6 An Example: Cardiomyocyte Mechanics
      1. 8.6.1 Experimental Setup/Design
      2. 8.6.2 Model Development
      3. 8.6.3 Discussion
    7. 8.7 Conclusions
    8. Acknowledgment
  15. 9 Hybrid Control for Micro/Nano Devices and Systems
    1. 9.1 Introduction
    2. 9.2 Problem Formulation
    3. 9.3 Control Framework, Control Design, and Analysis
      1. 9.3.1 Control Framework
      2. 9.3.2 Feedforward Control Design
      3. 9.3.3 Design of Time- Driven and Data-Driven Planners
      4. 9.3.4 Planners Switching Control Mechanism
      5. 9.3.5 Robustness Analysis
    4. 9.4 Example
    5. 9.5 Conclusions
    6. Acknowledgment

Product information

  • Title: Modeling and Control for Micro/Nano Devices and Systems
  • Author(s): Ning Xi, Mingjun Zhang, Guangyong Li
  • Release date: December 2017
  • Publisher(s): CRC Press
  • ISBN: 9781351832182