
Modeling and Control for Micro/Nano Devices and Systems by Ning Xi
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.
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Chaos in Automatic Control
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Advances in Missile Guidance, Control, and Estimation
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Robust Formation Control for Multiple Unmanned Aerial Vehicles
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Analysis and Synthesis of Fuzzy Control Systems
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Control of Nonlinear Systems via PI, PD and PID
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Wireless Ad hoc and Sensor Networks
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Modeling and Control of Complex Systems
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Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems
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Optimal Event-Triggered Control Using Adaptive Dynamic Programming
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Control of Nonlinear Systems
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Maneuverable Formation Control in Constrained Space
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Reinforcement Learning and Dynamic Programming Using Function Approximators
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Quantitative Process Control Theory
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Sliding Mode Control in Electro-Mechanical Systems
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System Modeling and Control with Resource-Oriented Petri Nets
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Variable Gain Control and Its Applications in Energy Conversion
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Optimal Control
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Cooperative Control of Multi-Agent Systems
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Multi-Agent Systems
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Deterministic Learning Theory for Identification, Recognition, and Control
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Synchronization and Control of Multiagent Systems
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Anti-Disturbance Control for Systems with Multiple Disturbances
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Tensor Product Model Transformation in Polytopic Model-Based Control
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Fundamentals in Modeling and Control of Mobile Manipulators
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Intelligent Diagnosis and Prognosis of Industrial Networked Systems
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Nonlinear Control of Dynamic Networks
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End-to-End Adaptive Congestion Control in TCP/IP Networks
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Electric and Plug-in Hybrid Vehicle Networks
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Fuzzy Controller Design
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Modern Control Engineering
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Nonlinear Control of Electric Machinery
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Discrete-Time Recurrent Neural Control
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Nonlinear Pinning Control of Complex Dynamical Networks
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Classical Feedback Control with Nonlinear Multi-Loop Systems
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Adaptive Control of Dynamic Systems with Uncertainty and Quantization
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Optimal Networked Control Systems with MATLAB
"The chapter authors are well-known researchers and the content is well organized and fits tightly togetherIn 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
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.
| SKU | Unavailable |
| ISBN 13 | 9781138072466 |
| ISBN 10 | 113807246X |
| Title | Modeling and Control for Micro/Nano Devices and Systems |
| Author | Ning Xi |
| Series | Automation And Control Engineering |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | CRC Press |
| Year published | 2017-03-29 |
| Number of pages | 176 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |




































