1st Edition

Modeling and Control for Micro/Nano Devices and Systems

Edited By Ning Xi, Mingjun Zhang, Guangyong Li Copyright 2014
    176 Pages 63 B/W Illustrations
    by CRC Press

    175 Pages 63 B/W Illustrations
    by CRC Press

    Continue Shopping

    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.


    The Editors

    List of Contributors

    On the Principles of Quantum Control Theory
    Re-Bing Wu, Jing Zhang, and Tzyh-Jong Tarn


    Mechanism of Quantum Control

    Modeling and Analysis of Quantum Control Systems

    Control Design Methodologies

    Open-Loop Control Quantum Systems

    Closed-Loop Control Quantum Systems


    Modeling and Simulation of Silicon Nanowire-Based Biosensors
    Guangyong Li, Yucai Wang, and Quan Tao


    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


    Conclusions and Perspectives

    Modeling and Simulation of Organic Photovoltaic Cells
    Guangyong Li, Liming Liu, and Fanan Wei


    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


    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


    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


    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


    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


    Prokaryotic Cell Swimming Strategies

    Prokaryotic Flagella

    Twitching Motility

    Gliding Motility

    Eukaryotic Cell Swimming Strategies

    Eukaryotic Flagella



    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


    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



    Hybrid Control for Micro/Nano Devices and Systems
    Xiaobo Li, Xinghua Jia, and Mingjun Zhang


    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





    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.

    "The chapter authors are well-known researchers and the content is well organized and fits tightly together. In this emerging and fast-developing field, the fact that the book is an edited volume … allows [it] to cover new topics that are still currently under research."
    — Frank L. Lewis, Automation and Robotics Research Institute, University of Texas at Arlington, USA

    "I am convinced there is a strong need for a book on modeling and control of nano-scale devices, as this is a new, emerging area, and one for which there are no good books."
    — Declan Bates, University of Leeds, UK

    "… micro/nano devices and systems [is] a field that is expected to continue its rapid expansion. This is an excellent review with top-notch authors [and] broad coverage, and [it is] timely … there is no competition, since this book is one of a kind."
    — Hong Zhang, University of Alberta, Edmonton, Canada