The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform

Junwei Lei - One of the best experts on this subject based on the ideXlab platform.

  • sliding mode synchronization of second order chaotic subSystem based on equivalent transfer function method
    Optik, 2016
    Co-Authors: Junwei Lei
    Abstract:

    Abstract A novel kind of synchronization with reduced number of active inputs is very valuable since this kind of synchronization is more difficult to be deciphered in secure communication. The synchronization problem was first transferred to be a control problem of a special kind of second order System. To solve the high order derivative of control law problem caused by double control coefficients of a kind of second order System, a kind of novel equivalent transfer function method was integrated with common sliding mode method. And the System stability was proved by constructing a Lyapunov function. Furthermore, to make the System stable, also the condition for the stability of transfer function was proposed. What is more important is that the non-mini-phase situation was considered and corresponding method was proposed to solve its control problem. And at last, detailed simulation were done for both second order Systems and synchronization of chaotic Systems to show the rightness and effectiveness of the proposed method.

  • robust sliding mode control of uncertain second order System with single unknown time variable control coefficient
    Journal of Residuals Science & Technology, 2016
    Co-Authors: Pengyuan Wang, Yuanling Chen, Zhanlei Shang, Junwei Lei
    Abstract:

    The situation of second order System with single time variable control coefficient and uncertain model parameters is controlled with an robust sliding mode controller since adaptive method is improper to cope with the situation that control coefficient is not a constant. What is worthy pointing out is that four kinds of situation are discussed and whether bounded gain is possible for the controller to make the System stable is depended on the variable control coefficient is increasing or decreasing. At last, detailed simulation was done to testify the rightness of the proposed method.

  • research on adaptive sliding mode control of second order System with single unknown control coefficient
    Journal of Residuals Science & Technology, 2016
    Co-Authors: Yongzhong Huang, Junwei Lei
    Abstract:

    The control of second order System with uncertain parameters and single unknown control coefficient is researched. And a kind of adaptive strategy is hybrid. With sliding mode method, and the adaptive strategy is used to cope with uncertain parameters produced in the process of sliding mode controller design. At last, detailed numerical simulation is done to testify the rightness of the proposed method and also multi-time random simulations are done to testify the robustness of the controller. And the main conclusion is that the sliding mode control has very good consistency since the strategy formation is almost the same as the controller for System with known control coefficient, and high gain is necessary for System with single uncertain control coefficient.

Brett Newman - One of the best experts on this subject based on the ideXlab platform.

Roger Miranda-colorado - One of the best experts on this subject based on the ideXlab platform.

  • Finite-time sliding mode controller for perturbed Second-Order Systems.
    ISA transactions, 2019
    Co-Authors: Roger Miranda-colorado
    Abstract:

    Abstract This paper presents a novel finite-time sliding mode controller applied to perturbed second order Systems. The proposed scheme employs a disturbance observer that can identify growing in time disturbances. Then, the observer is combined with a sliding mode controller to achieve finite-time stabilization of the Second-Order System. The convergence of the observer as well as the finite-time stability of the closed-loop System is theoretically demonstrated. Besides, it is also shown that the finite-time convergence properties of a given controller can be enhanced when using a compensation term based on the disturbance observer. The proposed controller is compared with a twisting algorithm and a finite-time sliding mode controller with disturbance estimation. Also, a conventional proportional integral derivative (PID) controller is combined with the proposed disturbance observer in a trajectory tracking task. Numerical simulations indicate that the proposed controller attains finite-time stabilization of the second order System by requiring a less amount of power than that demanded by the other control schemes and without being affected by the peaking phenomenon. Besides, the performance of the PID technique is enhanced by applying the proposed control methodology.

Liang Rong - One of the best experts on this subject based on the ideXlab platform.

  • A robust proportional controller for AQM based on optimized Second-Order System model
    Computer Communications, 2008
    Co-Authors: Jianxin Wang, Liang Rong, Yunhao Liu
    Abstract:

    Active Queue Management (AQM) is an effective mechanism to improve the performance of end-to-end congestion control. However, existing AQM schemes are sensitive to network traffic changes. In this paper, we propose a novel AQM algorithm based, for the first time, on the optimized Second-Order System model, called Adaptive Optimized Proportional Controller (AOPC). AOPC measures the latest packet loss ratio, and uses it as a complement to queue length in order to dynamically adjust packet drop probability. Through using TCP throughput model, AOPC is capable of detaching from the number of TCP sessions N and insensitive to various network conditions. The parameter tuning rule is in compliance with the optimized Second-Order System model which has a small overshoot and fast convergence speed. We comprehensively evaluate the performances of AOPC through extensive simulations using NS2 simulator, and contrast it with previous approaches such as REM, PI, PID, PIP, and LRED. Simulation results demonstrate that AOPC is more responsive to time-varying network conditions than other algorithms, and obtains the best tradeoff between utilization and delay.

  • ICPP - AOPC: An Adaptive Optimized Proportional Controller for AQM
    2006 International Conference on Parallel Processing (ICPP'06), 2006
    Co-Authors: Jianxin Wang, Liang Rong
    Abstract:

    In this paper, we propose a novel AQM algorithm based on the optimized Second-Order System model for the first time. The algorithm is called Adaptive Optimized Proportional Controller (AOPC). The System design of AOPC is based on classical TCP/AQM interconnection System model, which has a strong relation to the network load level. Through introducing network load estimator in the TCP/AQM interconnection System model, AOPC is capable to detach from the number of TCP sessions N and insensitive to varying network conditions. Meanwhile, AOPC surmounts the parameter configuration difficulties experienced by many AQM algorithms. The parameter tuning rule is compliance with the optimized Second-Order System model which results fast convergence rate. The performances of AOPC are compared to REM, PI, PID, PIP, and LRED using NS2 simulations. From the experiments and analysis, we conclude that AOPC outperforms other AQM algorithms that it obtains stable queue evolution, achieves the fastest convergence rate to equilibrium point in time-varying network conditions than other algorithms, and fulfills perfect tradeoff between link utilization and queueing delay.

Mattias Fält - One of the best experts on this subject based on the ideXlab platform.