Scholarships are provided for eligible International students!

Professor

Prof. Kuang-Yow Lian

Educational National Taiwan University
Title Professor in National Taipei University of Technology
Research
Embedded Systems, Smart Home, Intelligent Control, Nonliear Systems Analysis, Design, and Application

Research Area
Smart home, Wearables , Sensor technology, Embedded systems, Clustering and classification, Intelligent control, Time-delay systems

Contact me
E-mail: kylian@ntut.edu.tw
Office: Complex Building R503
Phone: +886-2-27712171 Ext.2171
Fax.: +886-2-2731718

Lab Introduction

The renowned professor Dr. Kuang-Yow Lian’s System Analysis and Control Laboratory is under the Department of Electrical Engineering, National Taipei University of Technology, Taiwan. The analysis of signal systems and the control technology is the main focus area of the laboratory. In the earlier years, the research in the lab explored innovations in the field of power convertors, synchronization systems and intelligent control and many projects are successfully completed in these fields. In the recent years with advancement in Information Technology, the research is expanded to integration of networking technology, microcontroller design, environmental and physiological sensing technology, household appliances control, motor control technology and healthcare systems. With a current strength of around 30 students from different graduate levels including bachelors, masters and doctorate, a high-end research is performed in the lab. International students from other corners of the world is also doing research in the lab and this shows an all-embracing face of our lab. The uninterrupted research funding and support from the MOST (Ministry of Science and Technology) and other industries always helped our lab to meet new goals.

Image showing the Newspaper report, the implemented Dr. Emotion device, the trophy won and the picture taken during the “14th Macronix Golden Silicon Award” ceremony.

Many projects demand the working of hardware and software harmoniously together and our lab is successful in achieving this requirement as our research focus on both the hardware and software aspects. Our research team is capable of coding in different programming languages including C, C++, C#, Matlab, JavaScript, HTML, PHP and Python. The lab students have hands-on-experience in different hardware boards including Arduino, ARM, 8086 and 8085 microprocessor, Raspberry pi, FPGA kits and DSP kits. This knowledge in different areas add more flexibility and focus to our lab. Every year we attend many international conferences in Taiwan and also abroad where we present the new research results of our lab. As conferences are one of the apt venue for knowledge sharing, participation in conferences helped us to gain more knowledge in different fields. Our research findings are well appreciated at many conference venues and get published in international journals and conference proceedings every year. Some of them are mentioned below:

  • Best Paper Award in International conference on Automation – 2015
  • Best Student Paper Award in NSSSE-2014
  • Best Paper Award in International symposium, ICAMAR-2013
  • Best Paper Award in International conference, CACS-2012

Image showing the picture taken during the “16th Macronix Golden Silicon Award” ceremony.

Apart from conferences and symposiums, our lab members attend many competitions every year. The competition was very intense in most cases and many students from different institutions attend the competitions. It is our lab members who won the award in many of these competitions and this shows the high quality of research undergoing in our lab. Some of the awards and recognitions received by our lab members in different competitions are mentioned below:

  • First prize in “National Microcomputer Application System Design Competition-2016”.
  • First prize in “14th Macronix Golden Silicon Awards”.
  • Won two Awards of Excellence in “16th Macronix Golden Silicon Awards”.
  • Won the second and third price in “National Microcomputer Application System Design Competition-2015”.
  • Won three Awards of Excellence in “National Microcomputer Application System Design Competition-2015”.
  • Won the Corporate Special Award in “National Microcomputer Application System Design Competition-2015”.
  • Won the 2015 MOST college students Study Creation Award.

Our lab is equipped with advanced machines including latest 3D printing machine, highly configured computer systems, robots, Microcontrollers, Embedded boards, various sensors, printers, scanners and much more which are useful for the efficient research work. The latest licensed version of programming softwares including Visual Studio, Matlab, simulation softwares etc. are available in the lab. We regularly check the requirements of the lab and makes sure the lab is well equipped with all the latest facilities required for high-end research. We have developed a website (http://www.smartliving-lab.net) for our lab which regularly updates all the activities of the lab. Eyeing the future world of artificial intelligence, we have already step foot in the implementation of fast and efficient algorithms, speech processing technologies, biometrics and emotion recognition. Some of our recent research topics are stated below:

  • Convergence technology of digital signals
  • Real-time drowsiness identification
  • Real-time emotion recognition in music
  • Real-time nonintrusive appliance load monitoring
  • Real-time blind source separation
  • Stability analysis of time-delay systems
  • Algorithm for maximum power point tracking

Every Thursdays in a week, we have a team meeting where all the lab members and Professor meet in a conference hall and have a discussion about the research work and latest trends in the field of science and technology. During every team meeting, at least two lab members present their research findings using Microsoft Power point and in some cases a video will be included in the presentation for better understanding. A question and answer session follows after every presentation where the lab members clarify their doubts with the presenter and the professor gives suggestions for improvements and advices to the presenters. The friendly and cooperative environment in the lab helps the lab members to learn from one another. A team excursion is conducted every year for relaxation and enjoyment.

Projects

Design of a Novel Exoskeleton Walking Assistance System

Jun., 2016
In general, sport can be defined as activities which are based on physical athleticism or physical dexterity...

Wearable EMG Armband for Real-Time Appliance Control Based on Decision-k Nearest Neighbors Classification

Jun., 2016
In this modern era, technology has advanced in every field of life...

Development of Remote Control Ring with IMU for Handwriting Trajectory Reconstruction and Gesture Recognition

Jun., 2016
Since the invention of the first general purpose computer in the 19th century...

Wearable Glasses for ALS Assistance Control Based on Real Time Eye movement Recognition Using EOG

Jun., 2016
Purpose of this study is to implement an omnidirectional robot and cursor control system...

Motor failure diagnosis in real time for Embedded Systems

Jun., 2016
Since the emergence of machines, the mankind is much concerned about the machine faults...

Publicataion

  • Partitioning Technique for Relaxed Stability Criteria of Discrete-Time Systems with Interval Time-Varying Delay

    K.-Y. Lian, Wen-Tsung Yang, and Peter Liu (2014), “Partitioning Technique for Relaxed Stability Criteria of Discrete-Time Systems with Interval Time-Varying Delay,” in Discrete Dynamics in Nature and Society, Vol. 2014, Article ID 297324, 6 pages. (SCI, Impact Factor: 0.882)
  • Smart Home Safety Handwriting Pattern Recognition with Innovative Technology

    K.-Y. Lian, S.-J. Hsiao, and W.-T. Sung (2014), “Smart Home Safety Handwriting Pattern Recognition with Innovative Technology,” in Computers and Electrical Engineering, Vol.40, pp. 1123-1142. (SCI, Impact Factor: 0.992.)
  • Simple Integral Fuzzy Control for Converters with Highly Nonlinear Dynamics

    K.-Y. Lian and C.-W. Horn (2014), “Simple Integral Fuzzy Control for Converters with Highly Nonlinear Dynamics,” in Journal of Marine Science and Technology, Vol.22, No.5, pp.557-565. (SCI, Impact Factor: 0.845).
  • Current-Sensorless Flyback Converters Using Integral T-S Fuzzy Approach

    K.-Y. Lian and C.-W. Horn (2013), “Current-Sensorless Flyback Converters Using Integral T-S Fuzzy Approach,” in International Journal of Fuzzy Systems, Vol.15, No.1, pp.66-74. (SCI, Impact Factor: 1.506, Rank Factor: 43/115).
  • Mobile Monitoring and Embedded Control System for Factory Environment

    K.-Y. Lian, S.-J. Hsiao, and W.-T. Sung (2013), “Mobile Monitoring and Embedded Control System for Factory Environment,” in Sensors, Vol. 13, pp. 17281-17315. (SCI, Impact Factor: 1.953, Rank Factor: 8/57 ).
  • Intelligent Multi-Sensor Control System based on Innovative Technology Integration via ZigBee and Wi-Fi Networks

    K.-Y. Lian, S.-J. Hsiao, and W.-T. Sung (2013), “Intelligent Multi-Sensor Control System based on Innovative Technology Integration via ZigBee and Wi-Fi Networks,” in Journal of Network and Computer Applications, Vol. 36, No. 2, pp.756-767. (SCI, Impact Factor: 1.467, Rank Factor: 11/50 ).
  • Sensor-Less Adaptive Fuel Concentration Control for Direct Methanol Fuel Cells under Varying Load

    K.-Y. Lian and C.-M. Yang (2013), “Sensor-Less Adaptive Fuel Concentration Control for Direct Methanol Fuel Cells under Varying Load,” in Journal of Power Sources, Vol. 231, pp. 239-245. (SCI, Impact Factor: 4.675, Rank Factor: 9/81).
  • Fuzzy Virtual Reference Model Sensorless Tracking Control for Linear Induction Motors

    P. Liu, C.-Y. Huang, and K.-Y. Lian (2013), “Fuzzy Virtual Reference Model Sensorless Tracking Control for Linear Induction Motors,” in IEEE Transactions on System, Man, and Cybernetics-Part B, Vol. 43, No. 3, pp.970-981. (SCI, Impact Factor: 3.236, Rank Factor: 1/21)
  • Indirect Adaptive Fuzzy Controller for LEGO Mindstorms NXT Two-Wheeled Robot

    J.-Y. Chen, T.-F. Wu, P.-S. Tsai, and K.-Y. Lian (2013), “Indirect Adaptive Fuzzy Controller for LEGO Mindstorms NXT Two-Wheeled Robot,” in Applied Mechanics and Materials, Vols. 278-280, pp. 561-567.
  • Construct Small-scale Vertical Axis Wind Turbine Monitoring Systems by Wireless Sensor Networks

    S.-J. Hsiao, W.-T. Sung, K.-Y. Lian, and M.-C. Lin (2013), “Construct Small-scale Vertical Axis Wind Turbine Monitoring Systems by Wireless Sensor Networks,” accepted by International Journal of Materials and Product Technology. (SCI, Impact Factor: 0.4)
  • Home Safety Handwriting Pattern Recognition System

    K.-Y. Lian, S.-J. Hsiao, and W.-T. Sung (2013), “Home Safety Handwriting Pattern Recognition System,” accepted by Journal of Computational and Theoretical Nanoscience. (SCI, Impact Factor: 0.9)
  • Hybrid Intelligent Output-Feedback Control for Trajectory Tracking of Uncertain Nonlinear Multivariable Dynamical Systems

    W.-Y. Wang, Y.-H. Chien, I.-H. Li, K.-Y. Lian, and T.-T. Lee (2012), “Hybrid Intelligent Output-Feedback Control for Trajectory Tracking of Uncertain Nonlinear Multivariable Dynamical Systems,” International Journal of Fuzzy Systems, Vol. 14, No. 1. (SCI, 1.157)
  • Employ Cloud Computing to Solve the Problem of Capacity in Pattern Recognition

    K.-Y. Lian, S.-J. Hsiao, and W.-T. Sung (2013) “Employ Cloud Computing to Solve the Problem of Capacity in Pattern Recognition,” Applied Mathematics & Information Sciences, Vol. 6, No. 7S. (SCI, Impact Factor: 0.642)
  • Sensorless Linear Induction Motor Speed Tracking Using Fuzzy Observers

    P. Liu, C.-Y. Huang, C.-S Chiu, and K.-Y. Lian (2011), “Sensorless Linear Induction Motor Speed Tracking Using Fuzzy Observers,” IEL Electr. Power Appl., Vol. 5, No. 4, pp. 325-334. (SCI, Impact Factor: 1.173)
  • Power Source Management for Direct Methanol Fuel Cells Without Using Concentration Sensors

    K.-Y. Lian, C.-M. Yang, and W.-L. Hsu (2010), “Power Source Management for Direct Methanol Fuel Cells Without Using Concentration Sensors,” 北科大學報,Vol. 43, No. 2, pp. 15-25.
  • Synchronization Design of Coupled Chaotic Systems Using Fuzzy Approach

    K.-Y. Lian, K.-E. Huang, and S.-W. Yang (2009), “Synchronization Design of Coupled Chaotic Systems Using Fuzzy Approach,” International Journal of Intelligent Computation in Control, Vol. 1, No. 2, pp. 105-111.
  • Stabilization at Almost Arbitrary Points for Chaotic Systems

    C.-S. Huang, K.-Y. Lian, C.-H. Su, and J.-W. Wu (2008), “Stabilization at Almost Arbitrary Points for Chaotic Systems,”in Chaos, Solitons and Fractals, Vol. 36, No. 2, pp. 452-459. (SCI, Impact Factor: 3.025, Rank Factor: 2/74 in MATHEMATICS, INTERDISCIPLINARY APPLICATIONS)
  • Adaptive Speed Control for Induction Motors Based on a Semi-current-fed Model

    C.-S. Chiu, K.-Y. Lian, C.-Y. Hung, and P. Liu (2008), “Adaptive Speed Control for Induction Motors Based on a Semi-current-fed Model,” in International Journal of Control, Vol. 81, No. 2, pp. 307-316. (SCI, Impact Factor: 0.861, Rank Factor: 26/52 in AUTOMATION & CONTROL SYSTEMS)
  • Hybrid Fuzzy Model-Based Control of Nonholonomic Systems: A Unified Viewpoint

    C.-S. Chiu and K.-Y. Lian (2008), “Hybrid Fuzzy Model-Based Control of Nonholonomic Systems: A Unified Viewpoint,” in IEEE Transactions on Fuzzy Systems, Vol. 16, No. 1, pp.85-96. (SCI, Impact Factor: 3.624, Rank Factor: 11/229 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • Robust Adaptive Control of Linear Induction Motors with Unknown End-effect and Secondary Resistance

    K.-Y. Lian, C.-Y. Hung, C.-S. Chiu, and L.-C. Fu (2008),“Robust Adaptive Control of Linear Induction Motors with Unknown End-effect and Secondary Resistance,” in IEEE Transactions on Energy Conversion, Vol. 23, No. 2, pp.412-422. (SCI, Impact Factor: 1.018, Rank Factor: 27/64 in ENERGY & FUELS)
  • Chaotic Control and Chaotification Using Fuzzy Approach

    K.-Y. Lian, C.-S. Huang, C.-H. Su, and W.-H. Fang (2008),“Chaotic Control and Chaotification Using Fuzzy Approach,” in International Journal of Bifurcation and Chaos, Vol. 18, No.1, pp. 263-274. (SCI, Impact Factor: 0.910, Rank Factor: 15/50 in MULTIDISCIPLINARY SCIENCES)
  • LMI-Based Adaptive Tracking Control for Parametric Strict-Feedback Systems

    K.-Y. Lian and H.-W. Tu, (2008)“LMI-Based Adaptive Tracking Control for Parametric Strict-Feedback Systems,” in IEEE Transactions on Fuzzy Systems, Vol. 16, No. 5, pp.1245-1258. (SCI, Impact Factor: 3.624, Rank Factor: 11/229 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • LMI-based Sensorless Control of Permanent Magnet Synchronous Motors

    K.-Y. Lian, C.-H. Chiang and H.-W. Tu (2007),“LMI-based Sensorless Control of Permanent Magnet Synchronous Motors,” in IEEE Transactions on Industrial Electronics, Vol. 54, No. 5, pp. 2769-2778. (SCI, Impact Factor: 5.468, Rank Factor: 2/229 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • Current Sensorless Regulation for Converters via Integral Fuzzy Control

    K.-Y. Lian, H.-W. Tu, and C.-W. Hung (2007),“Current Sensorless Regulation for Converters via Integral Fuzzy Control,” in IEICE Transactions on Electronics, Vol. E90-C, No. 2, pp. 507-514. (SCI, Impact Factor:0.436, Rank Factor: 153/227 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • A stabilization Criterion for Matrices

    J.-W. Wu, K.-Y. Lian, and P. Lancaster (2007),“A stabilization Criterion for Matrices,” in Linear Algebra and Its Applications Vol. 422, No. 1, pp. 22-28. (SCI, Impact Factor: 0.702, Rank Factor: 76/165 in MATHEMATICS, APPLIED)
  • Adaptive Motion/Force Tracking Control of Holonomic Constrained Mechanical Systems: A Unified Viewpoint

    C.-S. Chiu and K.-Y. Lian (2007), “Adaptive Motion/Force Tracking Control of Holonomic Constrained Mechanical Systems: A Unified Viewpoint,” in International 642Impact Factor:0.776, Rank Factor: 28/52 in AUTOMATION & CONTROL SYSTEMS)
  • Cellular Neural Field and Its Convergence Analysis

    J.-W. Wu and K.-Y. Lian (2006),“Cellular Neural Field and Its Convergence Analysis,” in IEEE Transactions on Neural Networks, Vol. 17, No. 6, pp. 1639-1641. (SCI, Impact Factor: 3.726, Rank Factor: 10/229 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • Control Performance of Discrete-Time Fuzzy Systems Improved by Neural Networks

    C.-H. Su, C.-S. Huang, and K.-Y. Lian (2006), “Control Performance of Discrete-Time Fuzzy Systems Improved by Neural Networks,” in IEICE Transactions of Fundamentals of Electronics, Communications and Computers, Vol. E89-A, No. 5, pp. 1446-1453. (SCI, Impact Factor:0.287, Rank Factor: 173/227 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • Adaptive Control of Holonomic Constrained Systems: A Feed-forward Fuzzy Approximation-Based Approach

    C.-S. Chiu, K.-Y. Lian, and P. Liu (2006), “Adaptive Control of Holonomic Constrained Systems: A Feed-forward Fuzzy Approximation-Based Approach,” in IEEE Transactions on Control Systems Technology, Vol. 14, No. 3, pp. 456-466. (SCI, Impact Factor:1.278, Rank Factor: 61/227 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • Stability Conditions for LMI-based Fuzzy Control From Viewpoint of Membership Functions

    K.-Y. Lian, H.-W. Tu, and J.-J. Liou, (2006), “Stability Conditions for LMI-based Fuzzy Control From Viewpoint of Membership Functions,” in IEEE Transactions on Fuzzy Systems, Vol. 14, No. 6, pp. 874-884. (SCI, Impact Factor: 3.624, Rank Factor: 11/229 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • Performance Enhancement for T-S Fuzzy Control Using Neural Networks

    K.-Y. Lian, C.-H. Su, and C.-S. Huang (2006), “Performance Enhancement for T-S Fuzzy Control Using Neural Networks,” in IEEE Transactions on Fuzzy Systems, Vol. 14, No. 5, pp. 619-627. (SCI, Impact Factor: 3.624, Rank Factor: 11/229 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • Output Tracking Control for Fuzzy Systems via Output Feedback Design

    K.-Y. Lian and J.-J. Liou (2006), “Output Tracking Control for Fuzzy Systems via Output Feedback Design,” in IEEE Transactions on Fuzzy Systems, Vol. 14, No. 5, pp. 628-639. (SCI, Impact Factor: 3.624, Rank Factor: 11/229 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • LMI-Based Integral Fuzzy Control of DC-DC Converters

    K.-Y. Lian, J.-J. Liou, and C.-Y. Huang (2006), “LMI-Based Integral Fuzzy Control of DC-DC Converters,” in IEEE Transactions on Fuzzy Systems, Vol. 14, No. 1, pp. 71-80. (SCI, Impact Factor: 3.624, Rank Factor: 11/229 in ENGINEERING, ELECTRICAL & ELECTRONIC)
  • Fuzzy Gain Scheduling for Parallel Parking Car-Like Robots

    C.-S. Chiu, K.-Y. Lian, and P. Liu (2005), “Fuzzy Gain Scheduling for Parallel Parking Car-Like Robots,” in IEEE Transactions on Control Systems Technology, Vol. 13, No. 6, pp. 1084-1092. (SCI, Impact Factor: 1.278).
  • Induction Motor Control with Friction Compensation: An Approach of Virtual-Desired-Variable Synthesis

    K.-Y. Lian, C.-Y. Hung, C.-S. Chiu and P. Liu (2005), “Induction Motor Control with Friction Compensation: An Approach of Virtual-Desired-Variable Synthesis,” in IEEE Transactions on Power Electronics, Vol. 20, No. 5, pp. 1066-1074. (SCI, Impact Factor: 1.029)
  • The Dependence of Stability upon Membership Functions in LMI-Based Fuzzy Control

    K.-Y. Lian, H.-W. Tu, and J.-J. Liou, (2005), “The Dependence of Stability upon Membership Functions in LMI-Based Fuzzy Control,” 中原學報, Vol. 33, No. 1, pp. 103-110.
  • Stability of Unstable Systems Merged with Compensators

    J.-W. Wu and K.-Y. Lian, (2005), “Stability of Unstable Systems Merged with Compensators,” 中原學報, Vol. 33, No. 3, pp. 559-562.
  • Robust Adaptive Motion/force Tracking Control Design for Uncertain Constrained Robot Manipulators

    C.-S. Chiu, K.-Y. Lian, T.-C. Wu, (2004) “Robust Adaptive Motion/force Tracking Control Design for Uncertain Constrained Robot Manipulators,” in Automatica, Vol. 40, No. 12, pp. 2111-2119. (SCI, Impact Factor: 2.273)
  • Fuzzy Model-based Approach to Chaotic Encryption Using Synchronization

    K.-Y. Lian, P. Liu, C.-S. Chiu, and T.-S. Chiang, (2003), “Fuzzy Model-based Approach to Chaotic Encryption Using Synchronization,” in International Journal of Bifurcation and Chaos, Vol. 13, No. 1, pp. 215-225. (SCI, Impact Factor: 0.910)
  • Adaptive Synchronization Design for Chaotic Systems via a Scalar Driving Signal

    K.-Y. Lian, P. Liu, T.-S. Chiang, and C.-S. Chiu (2002), “Adaptive Synchronization Design for Chaotic Systems via a Scalar Driving Signal,” in IEEE Transactions on Circuits and Systems-I, Vol. 49, No. 1, pp. 17-27. (SCI, Impact Factor: 1.139)
  • Adaptive Tracking Control for Cooperative Multiple Robot Systems

    K.-Y. Lian and C.-S. Chiu (2002), “Adaptive Tracking Control for Cooperative Multiple Robot Systems,” in Journal of the Chinese Institute of Engineers (中國工程學刊), Vol. 25, No. 1, pp. 43-55. (SCI, Impact Factor: 0.190)
  • Robust Dead-Beat Synchronization and Communication for Discrete-time Chaotic Systems

    K.-Y. Lian, P. Liu, C.-S. Chiu, and T.-S. Chiang (2002), “Robust Dead-Beat Synchronization and Communication for Discrete-time Chaotic Systems,” in International Journal of Bifurcation and Chaos, Vol. 12, No. 4, pp. 835-846. (SCI, Impact Factor: 0.866)
  • Semi-decentralized Adaptive Fuzzy Control for Cooperative Multi-robot Systems with Motion/Internal Force Tracking Performance

    K.-Y. Lian, C.-S. Chiu and P. Liu (2002), “Semi-decentralized Adaptive Fuzzy Control for Cooperative Multi-robot Systems with Motion/Internal Force Tracking Performance,” in IEEE Transactions on System, Man, and Cybernetics-Part B, Vol. 32, No. 3, pp. 269-280. (SCI, Impact Factor: 1.538)
  • Chaotic Control Using Fuzzy Model-based Methods

    K.-Y. Lian, P. Liu, T.-C. Wu, and W.-C. Lin (2002), “Chaotic Control Using Fuzzy Model-based Methods,” in International Journal of Bifurcation and Chaos, Vol. 12, No. 8, pp. 1827-1841. (SCI, Impact Factor: 0.866)
  • Adaptive Robust Control for Seismically Excited Structures: The Chi-Chi Earthquake

    P. Liu, K.-Y. Lian, and C.-S. Chiu (2002), “Adaptive Robust Control for Seismically Excited Structures: The Chi-Chi Earthquake,” in Journal of the Chinese Institute of Engineers (中國工程學刊), Vol. 25, No. 4, pp. 403-414. (SCI, Impact Factor: 0.190)
  • Synthesis of Fuzzy Model-Based Designs to Synchronization and Secure Communications for Chaotic Systems

    K.-Y. Lian, T.-S. Chiang, C.-S. Chiu and P. Liu (2001), “Synthesis of Fuzzy Model-Based Designs to Synchronization and Secure Communications for Chaotic Systems,” in IEEE Transactions on System, Man, and Cybernetics-Part B, Vol. 30, No. 1, pp. 66-83. (SCI, Impact Factor: 1.538)
  • Synchronization and Secure Communication for Chaotic Systems: the Modulated Fuzzy System Design

    K.-Y. Lian, T.-S. Chiang, P. Liu, and C.-S. Chiu (2001), “Synchronization and Secure Communication for Chaotic Systems: the Modulated Fuzzy System Design,” in International Journal of Bifurcation and Chaos, Vol. 11, No. 5, pp. 1397-1410. (SCI, Impact Factor: 0.866)
  • Secure Communications of Chaotic Systems with Robust Performance via Fuzzy Observer-Based Design

    K.-Y. Lian, C.-S. Chiu, T.-S. Chiang, and P. Liu (2001), “Secure Communications of Chaotic Systems with Robust Performance via Fuzzy Observer-Based Design,” in IEEE Transactions on Fuzzy Systems, Vol. 9, No. 1, pp. 212-220. (SCI, Impact Factor: 1.803)
  • LMI-Based Fuzzy Chaotic Synchronization and Communications

    K.-Y. Lian, C.-S. Chiu, T.-S. Chiang, and P. Liu (2001), “LMI-Based Fuzzy Chaotic Synchronization and Communications,” in IEEE Transactions on Fuzzy Systems, Vol. 9, No. 4, pp. 539-553. (SCI, Impact Factor: 1.803)
  • GPS/INS Fuzzy Fusion Aided Parallel Parking of a Car-Like Mobile Robot

    K.-Y. Lian, P. Liu, C.-S. Chiu, and Y.-W. Liao (2001), “GPS/INS Fuzzy Fusion Aided Parallel Parking of a Car-Like Mobile Robot,” 中原學報, Vol. 29, No. 3, pp. 1-9.
  • Discrete-time Chaotic Systems: Applications in Secure Communications

    K.-Y. Lian, T.-S. Chiang, and P. Liu (2000), “Discrete-time Chaotic Systems: Applications in Secure Communications,” in International Journal of Bifurcation and Chaos, Vol. 10, No. 10, pp. 2193-2206. (SCI, Impact Factor: 0.866)
  • Synchronization with Message Embedded for Generalized Lorenz Chaotic Circuits and Its Error Analysis

    K.-Y. Lian and P. Liu (2000), “Synchronization with Message Embedded for Generalized Lorenz Chaotic Circuits and Its Error Analysis,” in IEEE Transactions on Circuits and Systems-I, Vol. 47, No. 9, pp. 1418-1424. (SCI, Impact Factor: 1.139)
  • Sliding-mode Motion/Force Control of Constrained Robots

    K.-Y. Lian and C.-R. Lin (1998), “Sliding-mode Motion/Force Control of Constrained Robots,” in IEEE Transactions on Automatic Control, Vol. 43, No. 8, pp. 1101-1103. (SCI, Impact Factor: 2.772)
  • A Skew-Symmetric Property of Rigid-Body Systems

    K.-Y. Lian, L.-S. Wang, and L.-C. Fu, (1998), “A Skew-Symmetric Property of Rigid-Body Systems,” in Systems & Control Letters, Vol. 33, No. 3, pp. 187-197. (SCI, Impact Factor: 1.683)
  • Application of Nonlinear Control and Fuzzy Classification for Parking a Car

    K.-Y. Lian and C.-S. Chiu (1997), “Application of Nonlinear Control and Fuzzy Classification for Parking a Car,” 模糊系統學刊, Vol. 3, No. 2, pp. 29-37.
  • Globally Valid Adaptive Controllers of Mechanical Systems

    K.-Y. Lian, L.-S. Wang and L.-C. Fu (1997), “Globally Valid Adaptive Controllers of Mechanical Systems,” in IEEE Transactions on Automatic Control, Vol. 42, No. 8, pp. 1149-1154. (SCI, Impact Factor: 2.772)
  • Adaptive Control of Current-Fed Induction Motors with Unknown Rotor Resistance

    K.-Y. Lian and H.-J. Tsai (1996), “Adaptive Control of Current-Fed Induction Motors with Unknown Rotor Resistance,” in Journal of Control Systems and Technology, Vol. 4, No. 4. (EI)
  • Steady Motion of Gyrostat Satellites and Their Stability

    L.-S. Wang, K.-Y. Lian and P.-T. Chen (1995), “Steady Motion of Gyrostat Satellites and Their Stability,” in IEEE Transactions on Automatic Control, Vol. 40, No. 10, pp. 1732-1743. (SCI, Impact Factor: 2.772)
  • Controllability of the Spacecraft Systems in a Central Gravitational Field

    K.-Y. Lian, L.-S. Wang and L.-C. Fu (1994), “Controllability of the Spacecraft Systems in a Central Gravitational Field,” in IEEE Transactions on Automatic Control, Vol. 39, No. 12, pp. 2426-2441. (SCI, Impact Factor: 2.772)
  • Robust Output Tracking for Nonlinear Systems with Weakly Non-minimum Phase

    K.-Y. Lian, L.-C. Fu and T.-L. Liao (1993), “Robust Output Tracking for Nonlinear Systems with Weakly Non-minimum Phase,” in International Journal of Control, Vol. 58, No. 2, pp. 301-316. (SCI, Impact Factor:
  • Adaptive Force Control of Single-Link Mechanism with Joint Flexibility

    K.-Y. Lian, J.-H. Jean and L.-C. Fu (1991), “Adaptive Force Control of Single-Link Mechanism with Joint Flexibility,” in IEEE Transactions on Robotics and Automation, Vol. 7, No. 4, pp. 540-545. (SCI, Impact Factor: 2.103)