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Performance index based learning controls for the partial non-regular systems using lifting technique

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Abstract

Deficiencies of the performance-based iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of performance index based ILCs for the partial non-regular systems. Two kinds of optimal ILCs based on different performance indices are considered. Finally, simulation examples are given to illustrate the feasibility of the proposed learning controls.

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Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, Hunan, 410075, China

    Shengyue Yang, Xiaoping Fan & Zhihua Qu

  2. Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, 32816, USA

    Zhihua Qu

Authors
  1. Shengyue Yang
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  2. Xiaoping Fan
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  3. Zhihua Qu
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Corresponding author

Correspondence to Shengyue Yang.

Additional information

This work was supported by the National Natural Science Foundation of China (No.60774023) and Hunan Provincial Natural Science Foundation (No.06JJ50141).

Shengyue YANG received his Ph.D. degree in Control Theory & Control Engineering from Central South University, China, in 2004. He is an associate professor at the School of Information Science and Engineering. His main research interests are learning and adaptive control, robust control and signal & information process.

Xiaoping FAN received his Ph.D. degree in Control Theory & Control Engineering from South China University of Technology, China, in 1998. Since then, he has been with the Central South University, China. Currently, he is a professor at the School of Information Science & Engineering. His main research interests are virtual reality, robot control and intelligent traffic systems.

Zhihua QU received his Ph.D. degree in Electrical Engineering from the Georgia Institute of Technology in 1990. Since then, he has been with the University of Central Florida. Currently, he is a professor at the Department of Electrical and Computer Engineering. His main research interests are nonlinear systems, robust and adaptive control designs, and robotics. He has published a number of papers in these areas and is the author of two books, Robust Control of Nonlinear Uncertain Systems by Wiley Interscience and Robust Tracking Control of Robotic Manipulators by IEEE Press. He is presently serving as an associate editor for Automatica and for International Journal of Robotics and Automation. He is a senior member of IEEE.

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Yang, S., Fan, X. & Qu, Z. Performance index based learning controls for the partial non-regular systems using lifting technique. J. Control Theory Appl. 7, 197–201 (2009). https://doi.org/10.1007/s11768-009-7138-y

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  • DOI: https://doi.org/10.1007/s11768-009-7138-y

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