Xi / Zhang / Li Modeling and Control for Micro/Nano Devices and Systems

1. Auflage 2013
ISBN: 978-1-4665-5406-1
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 175 Seiten

Reihe: Automation and Control Engineering

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.

Zielgruppe

Control engineers, researchers, and postgraduate students in systems biology.

Autoren/Hrsg.

Xi, Ning

Zhang, Mingjun

Li, Guangyong

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Mechatronik, Mikrosysteme (MEMS), Nanosysteme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik

Inhaltsverzeichnis

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

Über Autor(innen)

Author of several award-winning papers in conference proceedings and recognized journals in his field, Ning Xi is the head and chair professor of the department of mechanical and biomedical engineering at City University of Hong Kong, Peoples’ Republic of China. Previously he was a university distinguished professor and John D. Ryder professor of electrical and computer engineering at Michigan State University, East Lansing, USA, where he also served as the director of the robotics and automation laboratory. He received his D.Sc in systems science and mathematics from Washington University, St. Louis, Missouri, USA.

Guangyong Li is an associate professor in the department of electrical and computer engineering at University of Pittsburgh, Pennsylvania, USA. He received his Ph. D in electrical engineering from Michigan State University, East Lansing, USA. He has published numerous papers in peer-reviewed journals and conference proceedings on nanorobotic manipulation, nanoscale characterization, and multiscale simulation of organic solar cells.

A recipient of the U.S. Office of Naval Research’s Young Investigator Award and the IEEE Robotics and Automation Society’s Early Career Award, Mingjun Zhang is an associate professor at the University of Tennessee, Knoxville, USA. Research results from his group have been published in and highlighted by numerous journals in his field. He received his D.Sc from Washington University, St. Louis, Missouri, and his Ph.D from Zhejiang University, Hangzhou, Peoples’ Republic of China.