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
Preface
The Editors
List of Contributors
On the Principles of Quantum Control Theory
Re-Bing Wu, Jing Zhang, and Tzyh-Jong Tarn
Introduction
Mechanism of Quantum Control
Modeling and Analysis of Quantum Control Systems
Control Design Methodologies
Open-Loop Control Quantum Systems
Closed-Loop Control Quantum Systems
Perspectives
Modeling and Simulation of Silicon Nanowire-Based Biosensors
Guangyong Li, Yucai Wang, and Quan Tao
Introduction
The Basics of SiNW-Based FET Biosensor
Theoretical Approaches
Simulation Results and Discussions
Surface Potential on SiNW
I-V Characteristics of the SiNW FET Biosensor
Sensitivity Analysis
Discussions
Conclusions and Perspectives
Modeling and Simulation of Organic Photovoltaic Cells
Guangyong Li, Liming Liu, and Fanan Wei
Introduction
Fundamentals of Organic Photovoltaic Cells
Optical Modeling
Electrical Modeling and Simulation by Drift-Diffusion Model
Electrical Modeling and Simulation by Monte Carlo Model
Discussion and Conclusion
Optimization of Organic Photovoltaic Cells
Fanan Wei, Liming Liu, and Guangyong Li
Introduction
Optimizing Device Thickness via Optical Model and Electrical Simulation
Optimizing Device via Multiscale Simulation
Discussion and Conclusion
Developing a Dynamics Model for Epidermal Growth Factor (EGF)-Induced Cellular Signaling Events
Ning Xi, Ruiguo Yang, Bo Song, King Wai Chiu Lai, Hongzhi Chen, Jennifer Y. Chen, Lynn S. Penn, and Jun Xi
Introduction
AFM Energy Dissipation and Hysteresivity Measurements
QCM-D Energy Dissipation Measurement
Model Development
AFM Viscoelastic Characterization
QCM-D-Based Cell Membrane Peeling Model
Results and Discussion
Conclusion
Modeling and Experimental Verifications of Cell Tensegrity
Ning Xi, Ruiguo Yang, Carmen Kar Man Fung, King Wai Chiu Lai, Bo Song, Kristina Seiffert-Sinha, and Animesh A. Sinha
Introduction
Desmosome Disruption Leads to Decrease in Cell Stiffness
Desmosome Disassembly Results in Stiffness Decrease
AFM-Based Nanosurgery Resulting in the Decrease of Stiffness
Quantitative Modeling Based on Six Struts Tensegrity Structure
Without Intermediate Filaments
With Intermediate Filaments
Conclusion and Perspectives
Modeling Swimming Micro/Nano-Systems in Low Reynolds Number
Stefan Nwandu-Vincent, Scott Lenaghan, and Mingjun Zhang
Introduction
Prokaryotic Cell Swimming Strategies
Prokaryotic Flagella
Twitching Motility
Gliding Motility
Eukaryotic Cell Swimming Strategies
Eukaryotic Flagella
Cilia
Pseudopodia
Dynamics Modeling and Analysis of a Swimming Microrobot for Controlled Drug Delivery
Modeling and Analysis of the Cellular Mechanics Involved in the Pathophysiology of Disease/Injury
Benjamin E. Reese, Scott C. Lenaghan, and Mingjun Zhang
Introduction
Modeling, Analysis, and Control of Cellular Mechanics in Disease/Injury
Applications in Cancer
Applications in Cardiovascular Disease
Advances in Experimental and Imaging Techniques (BioMEMS/NEMS)
An Example: Cardiomyocyte Mechanics
Experimental Setup/Design
Model Development
Discussion
Conclusions
Hybrid Control for Micro/Nano Devices and Systems
Xiaobo Li, Xinghua Jia, and Mingjun Zhang
Introduction
Problem Formulation
Control Framework, Control Design, and Analysis
Control Framework
Feed-Forward Control Design
Design of the Time-Driven and Data-Driven Planners
Planners Switching Control Mechanism
Robustness Analysis
Example
Conclusions
Index
