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Jianliang Wang - One of the best experts on this subject based on the ideXlab platform.

  • A novel PID Controller Gain tuning method for a quadrotor landing on a ship deck using the invariant ellipsoid technique
    2014 14th International Conference on Control Automation and Systems (ICCAS 2014), 2014
    Co-Authors: Jianliang Wang
    Abstract:

    Quadrotors are useful in many applications. It is controlled by the thrust of each rotors. The altitude and attitude control is often achieved by PID Controller due to its simplicity. Many methods such as the Ziegler Nichols method, Cohen Coon method and loop shaping methods are available to tune the Gain with different objectives such as minimizing overshoot or settling time. However, few techniques are able to obtain an optimal Controller Gain for a system under persistent bounded disturbance. The invariant ellipsoid method based on the invariant set theory is developed to formulate an optimization problem to obtain such an optimal Controller Gain. The technique is applied to a ship deck landing problem of a quadrotor. The heave motion of the ship deck represents a persistent disturbance acting on the quadrotor which is required to perform a landing operation while maintaining small relative speed with the ship deck. Numerical simulation is performed to demonstrate the ability of the calculated Gain to reject disturbance as compared to Gain obtained by loop shaping method.

  • ICARCV - Non-fragile nonlinear H/sub /spl infin// control with additive Controller Gain variations
    7th International Conference on Control Automation Robotics and Vision 2002. ICARCV 2002., 2002
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    This paper addresses the problem of non-fragile H/sub /spl infin// Controller design for nonlinear systems. The Controller to be designed is assumed to have additive Gain variations. Design method for state feedback is presented in term of positive definite solutions to Hamilton-Jacobi inequalities. The resulting design is such that the closed-loop system is robustly stable and has an L/sub 2/ Gain bound with respect to the additive Controller Gain variations. A numerical example is given to illustrate the proposed methods.

  • Non-fragile nonlinear H/sub /spl infin// control with additive Controller Gain variations
    7th International Conference on Control Automation Robotics and Vision 2002. ICARCV 2002., 2002
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    This paper addresses the problem of non-fragile H/sub /spl infin// Controller design for nonlinear systems. The Controller to be designed is assumed to have additive Gain variations. Design method for state feedback is presented in term of positive definite solutions to Hamilton-Jacobi inequalities. The resulting design is such that the closed-loop system is robustly stable and has an L/sub 2/ Gain bound with respect to the additive Controller Gain variations. A numerical example is given to illustrate the proposed methods.

  • Brief Non-fragile H∞ control for linear systems with multiplicative Controller Gain variations
    Automatica, 2001
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    This paper is concerned with the problem of non-fragile H"~ Controller design for linear time-invariant systems. The Controller to be designed is assumed to have multiplicative Gain variations. Design methods are presented in terms of symmetric positive-definite solutions of algebraic Riccati inequalities. The resulting design is such that the closed-loop system is robustly stable and has an H"~ disturbance attenuation bound with respect to the multiplicative Controller Gain variations. A numerical example is given to illustrate the design methods.

  • brief non fragile h control for linear systems with multiplicative Controller Gain variations
    Automatica, 2001
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    This paper is concerned with the problem of non-fragile H"~ Controller design for linear time-invariant systems. The Controller to be designed is assumed to have multiplicative Gain variations. Design methods are presented in terms of symmetric positive-definite solutions of algebraic Riccati inequalities. The resulting design is such that the closed-loop system is robustly stable and has an H"~ disturbance attenuation bound with respect to the multiplicative Controller Gain variations. A numerical example is given to illustrate the design methods.

Guang-hong Yang - One of the best experts on this subject based on the ideXlab platform.

  • ICARCV - Non-fragile nonlinear H/sub /spl infin// control with additive Controller Gain variations
    7th International Conference on Control Automation Robotics and Vision 2002. ICARCV 2002., 2002
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    This paper addresses the problem of non-fragile H/sub /spl infin// Controller design for nonlinear systems. The Controller to be designed is assumed to have additive Gain variations. Design method for state feedback is presented in term of positive definite solutions to Hamilton-Jacobi inequalities. The resulting design is such that the closed-loop system is robustly stable and has an L/sub 2/ Gain bound with respect to the additive Controller Gain variations. A numerical example is given to illustrate the proposed methods.

  • Non-fragile nonlinear H/sub /spl infin// control with additive Controller Gain variations
    7th International Conference on Control Automation Robotics and Vision 2002. ICARCV 2002., 2002
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    This paper addresses the problem of non-fragile H/sub /spl infin// Controller design for nonlinear systems. The Controller to be designed is assumed to have additive Gain variations. Design method for state feedback is presented in term of positive definite solutions to Hamilton-Jacobi inequalities. The resulting design is such that the closed-loop system is robustly stable and has an L/sub 2/ Gain bound with respect to the additive Controller Gain variations. A numerical example is given to illustrate the proposed methods.

  • Brief Non-fragile H∞ control for linear systems with multiplicative Controller Gain variations
    Automatica, 2001
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    This paper is concerned with the problem of non-fragile H"~ Controller design for linear time-invariant systems. The Controller to be designed is assumed to have multiplicative Gain variations. Design methods are presented in terms of symmetric positive-definite solutions of algebraic Riccati inequalities. The resulting design is such that the closed-loop system is robustly stable and has an H"~ disturbance attenuation bound with respect to the multiplicative Controller Gain variations. A numerical example is given to illustrate the design methods.

  • brief non fragile h control for linear systems with multiplicative Controller Gain variations
    Automatica, 2001
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    This paper is concerned with the problem of non-fragile H"~ Controller design for linear time-invariant systems. The Controller to be designed is assumed to have multiplicative Gain variations. Design methods are presented in terms of symmetric positive-definite solutions of algebraic Riccati inequalities. The resulting design is such that the closed-loop system is robustly stable and has an H"~ disturbance attenuation bound with respect to the multiplicative Controller Gain variations. A numerical example is given to illustrate the design methods.

  • Robust non-fragile H/sub /spl infin// control for linear systems with a class of Controller Gain variations
    Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000
    Co-Authors: Guang-hong Yang, Jianliang Wang
    Abstract:

    The paper is concerned with the problem of non-fragile H/sub /spl infin// Controller design for linear time-invariant systems. The Controller to be designed is assumed to have multiplicative Gain variations. Design methods are presented in terms of symmetric positive-definite solutions of algebraic Riccati inequalities. The resulting design is such that the closed-loop system is robustly stable and has an H/sub /spl infin// disturbance attenuation bound with respect to the multiplicative Controller Gain variations. A numerical example is given to illustrate the design methods.

Zhiliang Wang - One of the best experts on this subject based on the ideXlab platform.

  • non fragile robust control for networked control systems with long time varying delay randomly occurring nonlinearity and randomly occurring Controller Gain fluctuation
    International Journal of Robust and Nonlinear Control, 2016
    Co-Authors: Zhao Zhang, Huaguang Zhang, Zhiliang Wang
    Abstract:

    SUMMARY This paper investigates the non-fragile robust control problem for a class of nonlinear networked control systems (NCSs) with long time-varying delay. Both the uncertain nonlinearity and the Controller Gain fluctuation enter into the system in random ways, and such randomly occurring nonlinearity and randomly occurring Controller Gain fluctuation obey certain mutually uncorrelated Bernoulli distributed white noise sequences. A new time-varying discrete time system model is proposed to describe the NCS. To reduce conservatism arising from modeling time-varying parts, the time-varying parts due to the time-varying delay are treated as a norm-bounded uncertainty with one nominal point using robust control techniques. Based on the obtained uncertain system model, a regular and an optimal sufficient non-fragile Controllers are derived by applying the Lyapunov stability theory and the linear matrix inequality technique, which render the closed-loop NCS to be asymptotically stable and guarantee an upper bound of the given performance cost for all admissible uncertainties. Moreover, the existence condition and design method for the non-fragile stabilizing Controllers are also presented. Two numerical examples are provided to demonstrate the effectiveness of the proposed scheme. Copyright © 2015 John Wiley & Sons, Ltd.

Ju H. Park - One of the best experts on this subject based on the ideXlab platform.

  • Hybrid-Driven-Based ${\mathcal{H}}_\infty$ Control for Networked Cascade Control Systems With Actuator Saturations and Stochastic Cyber Attacks
    IEEE Transactions on Systems Man and Cybernetics: Systems, 2019
    Co-Authors: Yuanyuan Gu, Ju H. Park
    Abstract:

    This paper focuses on the hybrid-driven-based H∞ control for networked cascade control systems (NCCSs) with actuator saturations and stochastic cyber attacks. In order to relieve the network bandwidth load effectively, a hybrid triggered scheme is introduced, which contains a switch between time-triggered scheme and event-triggered scheme. A newly hybrid-driven-based NCCS model is established by considering the effects of both actuator saturations and stochastic cyber attack, which is an important threat to network security. By using the Lyapunov stability theory, sufficient conditions are obtained to ensure the system stability. Furthermore, both primary Controller Gain and secondary Controller Gain are achieved explicitly in terms of linear matrix inequality techniques. Finally, a power plant gas-turbine system is presented to illustrate the usefulness of the designed state feedback Controllers.

  • Nonfragile Sampled-Data Synchronization for Delayed Complex Dynamical Networks With Randomly Occurring Controller Gain Fluctuations
    IEEE Transactions on Systems Man and Cybernetics: Systems, 2018
    Co-Authors: Ruimei Zhang, Ju H. Park, Deqiang Zeng, Shouming Zhong
    Abstract:

    In this paper, the problem of nonfragile sampled-data synchronization of delayed complex dynamical networks with randomly occurring Controller Gain fluctuations (ROCGFs) is studied. First, more applicable nonfragile memory sampled-data Controllers are designed, which involve the signal transmission delay and ROCGFs. The Controller Gain fluctuations appear in a random way, which obey certain Bernoulli distributed white noise sequences. Second, a modified piecewise Lyapunov-Krasovskii functional (LKF), which involves cubic sawtooth structure term, is constructed for the first time. Third, based on the LKF, less conservative synchronization criteria are established. In comparison with the existing results, the constraint condition of the positive definition of the LKF is less restrictive, since it does not need to be positive definite for all time, but is only required to be positive definite at sampling times. Finally, the effectiveness and advantages of the obtained results are illustrated by two numerical examples.

  • non fragile synchronization of neural networks with time varying delay and randomly occurring Controller Gain fluctuation
    Applied Mathematics and Computation, 2013
    Co-Authors: Mei Fang, Ju H. Park
    Abstract:

    In this paper, a non-fragile procedure is introduced to study the problem of synchronization of neural networks with time-varying delay. The Controller Gain fluctuation appears in a random way, which obeys certain Bernoulli distributed white noise sequences. Based on the linear matrix inequality (LMI) method, two delay-dependent criteria are derived to ensure the exponential stability of the error systems, which implies the master systems synchronize with the slave systems. The non-fragile Controller can be obtained by solving a set of LMIs. A simulation example is given to illustrate the effectiveness of the proposed method.

  • Synchronization of a class of chaotic dynamic systems with Controller Gain variations
    Chaos Solitons & Fractals, 2006
    Co-Authors: Ju H. Park
    Abstract:

    Abstract In this paper, the nonfragile control problem for synchronization of a class of chaotic dynamical systems with Controller Gain variations is studied. Using the Lyapunov method and LMI (linear matrix inequality) technique, a criterion for the existence of the nonfragile Controller for synchronization is derived in terms of LMI. To show the effectiveness of the proposed method, the control problem is applied to Genesio chaotic system.

  • Robust non-fragile control for uncertain discrete-delay large-scale systems with a class of Controller Gain variations
    Applied Mathematics and Computation, 2004
    Co-Authors: Ju H. Park
    Abstract:

    This paper considers the problems of robust non-fragile control for uncertain discrete-delay large-scale systems under state feedback Gain variations. Two classes of Controller Gain variations are considered. Based on the Lyapunov method, the state feedback control design for robust stability is given in terms of solutions to a linear matrix inequality (LMI). The solutions of the LMI can be easily obtained using efficient convex optimization techniques. A numerical example is included to illustrate the design procedures.

Sergey Dashkovskiy - One of the best experts on this subject based on the ideXlab platform.

  • local capacity h_ infty control for production networks of autonomous work systems with time varying delays
    IEEE Transactions on Automation Science and Engineering, 2010
    Co-Authors: Hamid Reza Karimi, Neil A Duffie, Sergey Dashkovskiy
    Abstract:

    This paper considers the problem of local capacity H∞ control for a class of production networks of autonomous work systems with time-varying delays in the capacity changes. The system under consideration is modeled in a discrete-time singular form. Attention is focused on the design of a Controller Gain for the local capacity adjustments which maintains the work-in-progress (WIP) in each work system in the vicinity of planned levels and guarantees the asymptotic stability of the system and reduces the effect of the disturbance input on the controlled output to a prescribed level. In terms of a matrix inequality, a sufficient condition for the solvability of this problem is presented using an appropriate Lyapunov function, which depends on the size of the delay and is solved by existing convex optimization techniques. When this matrix inequality is feasible, the Controller Gain can be found by using LMI Toolbox Matlab. Finally, numerical results are provided to demonstrate the proposed approach.