Adaptive Indirect Fuzzy Sliding Mode Controller for Networked Control Systems Subject to Time-Varying Network-Induced Time Delay
Two major challenges in networked control systems are the time-varying networked-induced delays and the packet losses. To alleviate these problems, this study presents a novel fuzzy sliding mode controller, where a fuzzy system is used to estimate the nonlinear dynamical system online, and the netwo...
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Published in | IEEE transactions on fuzzy systems Vol. 23; no. 1; pp. 205 - 214 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.02.2015
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Abstract | Two major challenges in networked control systems are the time-varying networked-induced delays and the packet losses. To alleviate these problems, this study presents a novel fuzzy sliding mode controller, where a fuzzy system is used to estimate the nonlinear dynamical system online, and the networked-induced delay is handled by Pade approximation. The problem of packet losses is handled by viewing them as large time-varying delays in the system. The sliding mode-based design procedure used ensures the stability and the robustness of the proposed controller in the presence of disturbances and time-varying networked-induced time delays. Using an appropriate Lyapunov function, it is proved that the tracking error converges to the neighborhood of zero asymptotically. Furthermore, since the adaptation laws of the parameters are derived by using of the Lyapunov function, these laws are also found to be stable. Simulation results show that the proposed fuzzy sliding mode controller is capable of controlling nonlinear dynamical systems over a network, which is subject to bounded external disturbances, time-varying network-induced delays, and packet losses with adequate performance. |
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AbstractList | Two major challenges in networked control systems are the time-varying networked-induced delays and the packet losses. To alleviate these problems, this study presents a novel fuzzy sliding mode controller, where a fuzzy system is used to estimate the nonlinear dynamical system online, and the networked-induced delay is handled by Pade approximation. The problem of packet losses is handled by viewing them as large time-varying delays in the system. The sliding mode-based design procedure used ensures the stability and the robustness of the proposed controller in the presence of disturbances and time-varying networked-induced time delays. Using an appropriate Lyapunov function, it is proved that the tracking error converges to the neighborhood of zero asymptotically. Furthermore, since the adaptation laws of the parameters are derived by using of the Lyapunov function, these laws are also found to be stable. Simulation results show that the proposed fuzzy sliding mode controller is capable of controlling nonlinear dynamical systems over a network, which is subject to bounded external disturbances, time-varying network-induced delays, and packet losses with adequate performance. |
Author | Kaynak, Okyay Shen Yin Khanesar, Mojtaba Ahmadieh Huijun Gao |
Author_xml | – sequence: 1 givenname: Mojtaba Ahmadieh surname: Khanesar fullname: Khanesar, Mojtaba Ahmadieh email: ahmadieh@semnan.ac.ir organization: Dept. of Electr. & Control Eng., Semnan Univ., Semnan, Iran – sequence: 2 givenname: Okyay surname: Kaynak fullname: Kaynak, Okyay email: okyay.kaynak@boun.edu.tr organization: Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey – sequence: 3 surname: Shen Yin fullname: Shen Yin email: shen.yin@hit.edu.cn organization: Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China – sequence: 4 surname: Huijun Gao fullname: Huijun Gao email: hjgao@hit.edu.cn organization: Res. Inst. of Intell. Control & Syst., Harbin Inst. of Technol., Harbin, China |
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SubjectTerms | Approximation methods Control systems Delay effects Delays Fuzzy systems Packet loss |
Title | Adaptive Indirect Fuzzy Sliding Mode Controller for Networked Control Systems Subject to Time-Varying Network-Induced Time Delay |
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