Journal of Control Science and Engineering

Advanced Control in Micro/Nano Systems

Publishing date
01 Jun 2012
Submission deadline
13 Jan 2012

Lead Editor

1Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Avenue Padre Tomás Pereira Taipa, Macao, China

2School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu 211189, China

3Automatic Control and Micro-Mechatronic Systems (AS2M) Department, FEMTO-ST Institute, Université of Franche-Comté (UFC), UMR CNRS 6174 - UFC/ENSMM/UTBM, 24 rue Alain Savary, 25000 Besançon, France

4Institute of Robotics and Intelligent Systems, Swiss Federal Institute of Technology (ETH) Zurich, Tannenstrasse 3, 8092 Zurich, Switzerland

Advanced Control in Micro/Nano Systems


Micro-/nanosystems have attracted plenty of attention at both academia and industry within the last two decades. Micro-/nanosystems include miniaturized systems whose physical dimensions lie in micro-/nanoscale and macro-/mesoscale systems which perform tasks at the micro-/nanoscale. Such systems find extensive applications in micro-/nanomanipulation/assembly, health and environmental monitoring, data storage, material science, biomedicine and biotechnology, and so forth. The scale and performance requirement of micro-/nanosystems presents a number of challenges to the control system design.

The main focus of this special issue will be on advanced control technologies in micro-/nanosystems. Due to the precision requirement, the control system design for the micro-/nanoworld is concerned with actuation and sensing, monitoring and modeling, dynamics, characterization, position/force measurement techniques, signal processing, controller design, motion planning, hardware implementation, material fabrication, and so on. The special issue will provide an international forum for researchers to present and summarize the most recent developments and ideas in the micro-/nanosystems control and relevant domains. Potential topics include, but are not limited to:

  • Hysteresis/drift modeling and identification of smart actuators/sensors
  • Small signal acquisition and processing, noise characterization, and suppression
  • Feedback, feedforward, robust, adaptive, and intelligent control
  • System identification and control of micro-/nanopositioning devices
  • Novel micro-/nanomanipulation/assembly systems and techniques
  • AFM-/SPM-based micro-/nanomanipulation/assembly/manufacturing
  • Health and environmental monitoring, prognosis, and diagnosis
  • MEMS, NEMS, microactuators/sensors, nanomotors, and biomolecular motors
  • Micro-/nanorobotic handling and characterization of biological cell/material
  • Bacteria, DNA, protein, carbon nanotube, nanowire, and nanocube manipulation/ assembly

Before submission authors should carefully read over the journal's Author Guidelines, which are located at Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at according to the following timetable:


  • Special Issue
  • - Volume 2012
  • - Article ID 827479
  • - Editorial

Advanced Control in Micro-/Nanosystems

Qingsong Xu | Pak-Kin Wong | ... | Li Zhang
  • Special Issue
  • - Volume 2012
  • - Article ID 923617
  • - Research Article

Processing Chip for Thin Film Bulk Acoustic Resonator Mass Sensor

Pengcheng Jin | Shurong Dong | ... | Mengjun Wu
  • Special Issue
  • - Volume 2012
  • - Article ID 610160
  • - Research Article

Flexible Surface Acoustic Wave Device with AlN Film on Polymer Substrate

Jian Zhou | Shurong Dong | ... | Demiao Wang
  • Special Issue
  • - Volume 2012
  • - Article ID 518032
  • - Research Article

Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines

Chi-Man Vong | Weng-Fai Ip | ... | Jing-yi Yang
  • Special Issue
  • - Volume 2012
  • - Article ID 498590
  • - Research Article

A Memory-Based Hysteresis Model in Piezoelectric Actuators

Guilin Zhang | Chengjin Zhang | Jason Gu
  • Special Issue
  • - Volume 2012
  • - Article ID 731825
  • - Research Article

Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine

Hang-cheong Wong | Pak-kin Wong | Chi-man Vong
  • Special Issue
  • - Volume 2012
  • - Article ID 782095
  • - Research Article

Modelling and Prediction of Particulate Matter, , and Performance of a Diesel Vehicle Engine under Rare Data Using Relevance Vector Machine

Ka In Wong | Pak Kin Wong | Chun Shun Cheung
Journal of Control Science and Engineering
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