The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform
Guozeng Cui - One of the best experts on this subject based on the ideXlab platform.
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Adaptive Finite-Time Control for High-Order Nonlinear Systems With Multiple Uncertainties and its Application
IEEE Transactions on Circuits and Systems I: Regular Papers, 2020Co-Authors: Huifang Min, Guozeng CuiAbstract:The globally finite-time control issue is concerned in this note for high-order nonlinearly parameterized systems with unknown control gain and external disturbances. A novel control strategy combining adaptive control technique with sign function can well deal with serious uncertainties and unknown control gain. Without any nonlinear growth assumptions, a unified and systematic design procedure is employed to derive an adaptive state-feedback controller with the help of the adding a power Integrator Method and backstepping technique. Then, by finite-time stability analysis and Lyapunov functions, the proposed controller ensures that the closed-loop system is globally practically finite-time stable (PFTS). Two simulation examples, including a mass-spring mechanical system and a numerical example, are applied to verify the performance and effectiveness of the designed schemes.
Fushun Yuan - One of the best experts on this subject based on the ideXlab platform.
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adaptive finite time stabilization for a class of uncertain high order nonholonomic systems
Isa Transactions, 2015Co-Authors: Fushun YuanAbstract:In this paper, the adaptive finite-time stabilization problem is investigated for a class of high order nonholonomic systems in power chained form with strong nonlinear drifts and nonlinear parameterization. By skillfully using finite-time stability theorem, parameter separation technique and adding a power Integrator Method, an adaptive state feedback controller is obtained. To overcome the obstacle that x-subsystem is uncontrollable when the control input u0=0, a novel switching control strategy is given. Based on this, the designed controller renders that the states of closed-loop system are regulated to zero in a finite time. Two illustrative examples are also provided to demonstrate the effectiveness of the proposed controller.
Huifang Min - One of the best experts on this subject based on the ideXlab platform.
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Adaptive Finite-Time Control for High-Order Nonlinear Systems With Multiple Uncertainties and its Application
IEEE Transactions on Circuits and Systems I: Regular Papers, 2020Co-Authors: Huifang Min, Guozeng CuiAbstract:The globally finite-time control issue is concerned in this note for high-order nonlinearly parameterized systems with unknown control gain and external disturbances. A novel control strategy combining adaptive control technique with sign function can well deal with serious uncertainties and unknown control gain. Without any nonlinear growth assumptions, a unified and systematic design procedure is employed to derive an adaptive state-feedback controller with the help of the adding a power Integrator Method and backstepping technique. Then, by finite-time stability analysis and Lyapunov functions, the proposed controller ensures that the closed-loop system is globally practically finite-time stable (PFTS). Two simulation examples, including a mass-spring mechanical system and a numerical example, are applied to verify the performance and effectiveness of the designed schemes.
Jianguo Huang - One of the best experts on this subject based on the ideXlab platform.
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a fast compact time Integrator Method for a family of general order semilinear evolution equations
Journal of Computational Physics, 2019Co-Authors: Jianguo HuangAbstract:Abstract In this paper we develop a fast compact time Integrator Method for numerically solving a family of general order semilinear evolution equations in regular domains. The spatial discretization is carried out by a fourth-order accurate compact difference scheme in which fast Fourier transform can be utilized for efficient implementation. The resulting semi-discretized problem consists of a system of ordinary differential equations whose solution can be explicitly expressed in term of time Integrators, and a desired numerical Method is then obtained by further adopting multistep approximations of the nonlinear terms based on the solution formula. Linear stability analysis is performed for the Method for second-order in time evolution equations. Extensive numerical experiments with applications are also presented to demonstrate efficiency, accuracy, and stability of the proposed Method in practice.
Shao-hua Yang - One of the best experts on this subject based on the ideXlab platform.
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Output tracking control for generalised high-order nonlinear system with serious uncertainties
International Journal of Control, 2016Co-Authors: Zong-yao Sun, Shao-hua YangAbstract:ABSTRACTThis paper focuses on the problem of output tracking control for a class of generalised high-order uncertain nonlinear systems. Serious uncertainties are composed of unknown high-order terms, unknown nonlinear functions and the signal to be tracked. The new feedback scheme guarantees that the tracking error belongs to a prescribed small neighbourhood of the origin in finite time. Design procedures are presented by combining improved adding a power Integrator Method with the recursive construction. As an application, the control Methodology is used in the tracking control of the mass-spring mechanical system.
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Tracking control design for a class of generalized high-order nonlinear systems with serious uncertainties
2016 35th Chinese Control Conference (CCC), 2016Co-Authors: Shao-hua Yang, Zong-yao Sun, Qing-quan TanAbstract:This paper focuses on the problem of output tracking control for a class of generalized high-order uncertain nonlinear systems. Its serious uncertainties include unknown high-orders and unknown nonlinear functions. Design objective is to gain a new time-varying feedback scheme in order that the tracking error belongs to a prescribed small neighborhood of the origin in finite time. Design procedure is presented by combining improved adding a power Integrator Method with the recursive construction. As an application, the control Methodology is used in the tracking control of the mass-spring mechanical system.