Peng Chen

Nanjing Normal University, Nan-ching, Jiangsu Sheng, China

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Publications (3)0 Total impact

  • Gu Zhou · Daobo Wang · Peng Chen · Xiaobo Zhao
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    ABSTRACT: This paper is concerned with the guaranteed cost controller design of networked control systems (NCSs) with interval varying time-delay. The non-ideal quality of service (QoS) are taken into account by an integrated index tau (t), which related to data dropout, network-induced delay and error sequence. A new analysis method is provided by using the convexity of the matrix function in deriving the results to avoid the conservatism caused by enlarging tau (t) to tau<sub>M</sub>. Suboptimal guaranteed cost state feedback controller and performance index are developed by solving a set of LMIs based on Lyapunov functional method and a cone complementary linearisation (CCL) algorithm. Numerical example and simulation results are given finally to illustrate the effectiveness of our methods.
    No preview · Conference Paper · Jul 2009
  • Peng Chen · Yue Dong · Gu Zhou
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    ABSTRACT: This paper addresses the sampling period scheduling of Networked Control Systems (NCSs) with multiple control loops. The generalized exponential function is employed to describe Integral Absolute Error (IAE) performance versus sampling period by Truetime toolbox under Matlab environment, and the sampling periods are scheduled to obtain the optimal integrated performance based on Kuhn-Tucker Theorem, which are subject to the stability of every control loop and the bandwidth on available network resource. Numerical examples are given to show the effectiveness of our method.
    No preview · Conference Paper · Aug 2008
  • Tian Engang · Yue Dong · Zhang Yijun · Peng Chen
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    ABSTRACT: In this paper, the problems of delay-dependent stability analysis for the discrete-time system with interval time-varying delay is considered. By using a new Lyapunov functional approach, sufficient conditions for the stability of the system can be obtained. By constructing appropriate free weighing matrices and utilizing the convexity of the matrix functional, we need not enlarge the time-varying delay to its upper bound, thus the conservativeness caused by the enlargement can be avoided. All the derived conditions are shown in terms of linear matrix inequalities, which can be easily solved by using the corresponding software. Two numerical examples are given to demonstrate the less conservativeness of the proposed method.
    No preview · Article · Jan 2008