The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

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

  • stabilizing unstable equilibrium points of chaotic systems using pi regulator
    International Symposium on Circuits and Systems, 2003
    Co-Authors: Guo-ping Jiang, Suoping Wang
    Abstract:

    In this paper, by using the PI regulator and variable Structure technique, a new method is presented for stabilizing unstable equilibrium points of chaotic systems. Based on the theory of nonlinear ordinary differential equations, a simple criterion is derived for designing the Controller gains for stabilization and tracking, in which control parameters can be selected via the pole placement technique of linear control theory. More importantly, this control method has a simple Controller Structure, high robustness against system parametric variations, and strong rejection of external constant disturbances.

  • ISCAS (3) - Stabilizing unstable equilibrium points of chaotic systems using PI regulator
    Proceedings of the 2003 International Symposium on Circuits and Systems 2003. ISCAS '03., 2003
    Co-Authors: Guo-ping Jiang, Suoping Wang
    Abstract:

    In this paper, by using the PI regulator and variable Structure technique, a new method is presented for stabilizing unstable equilibrium points of chaotic systems. Based on the theory of nonlinear ordinary differential equations, a simple criterion is derived for designing the Controller gains for stabilization and tracking, in which control parameters can be selected via the pole placement technique of linear control theory. More importantly, this control method has a simple Controller Structure, high robustness against system parametric variations, and strong rejection of external constant disturbances.

J. Chu - One of the best experts on this subject based on the ideXlab platform.

  • Optimizing stability bounds of finite-precision PID Controller Structures
    IEEE Transactions on Automatic Control, 1999
    Co-Authors: Sheng Chen, Robert S. H. Istepanian, J. Chu
    Abstract:

    This paper investigates a recently derived lower bound stability measure for sampled-data Controller Structures subject to finite-wordlength (FWL) constraints. The optimal realization of the digital PID Controller with FWL considerations is formulated as a nonlinear optimization problem, and an efficient strategy based on adaptive simulated annealing (ASA) is adopted to solve this complex optimization problem. A numerical example of optimizing the finite-precision PID Controller Structure for a simulated steel rolling mill system is presented to illustrate the effectiveness of the proposed strategy.

  • Analysis of sensitivity measures of finite-precision digital Controller Structures with closed-loop stability bounds
    IEE Proceedings - Control Theory and Applications, 1998
    Co-Authors: Robert S. H. Istepanian, G Li, Jie Wu, J. Chu
    Abstract:

    The problem of digital Controller Structures and the effect of finite-word-length (FWL) implementation on the closed-loop stability of digital feedback control systems is addressed. A framework is presented to derive two lower stability bounds for a closed-loop system, which are Controller Structure dependent, and then to solve the optimal FWL Controller Structure problem by maximising one of these lower bounds. This yields an improved method to design optimal finite-precision Controller Structures with better numerical accuracy and closed-loop stability characteristics. Comparisons using numerical examples from two digital Controller Structures demonstrate that the procedure proposed for the more efficient measure yields an improved finite Controller realisation with combined lower bits and higher lower stability bounds

Guo-ping Jiang - One of the best experts on this subject based on the ideXlab platform.

  • stabilizing unstable equilibrium points of chaotic systems using pi regulator
    International Symposium on Circuits and Systems, 2003
    Co-Authors: Guo-ping Jiang, Suoping Wang
    Abstract:

    In this paper, by using the PI regulator and variable Structure technique, a new method is presented for stabilizing unstable equilibrium points of chaotic systems. Based on the theory of nonlinear ordinary differential equations, a simple criterion is derived for designing the Controller gains for stabilization and tracking, in which control parameters can be selected via the pole placement technique of linear control theory. More importantly, this control method has a simple Controller Structure, high robustness against system parametric variations, and strong rejection of external constant disturbances.

  • ISCAS (3) - Stabilizing unstable equilibrium points of chaotic systems using PI regulator
    Proceedings of the 2003 International Symposium on Circuits and Systems 2003. ISCAS '03., 2003
    Co-Authors: Guo-ping Jiang, Suoping Wang
    Abstract:

    In this paper, by using the PI regulator and variable Structure technique, a new method is presented for stabilizing unstable equilibrium points of chaotic systems. Based on the theory of nonlinear ordinary differential equations, a simple criterion is derived for designing the Controller gains for stabilization and tracking, in which control parameters can be selected via the pole placement technique of linear control theory. More importantly, this control method has a simple Controller Structure, high robustness against system parametric variations, and strong rejection of external constant disturbances.

John B. Moore - One of the best experts on this subject based on the ideXlab platform.

  • A multiple Controller Structure and design strategy with stability analysis
    Automatica, 1992
    Co-Authors: Wei-yong Yan, John B. Moore
    Abstract:

    This paper proposes a multi-Controller Structure for a plant and develops associated stability results. The main theoretical result of the paper is a quite simple necessary and sufficient condition for the closed-loop stability of the scheme. The result also specializes as a multi-Controller generalization of the single Controller Youla-Kucera theory for the class of all stabilizing Controllers for a plant, and to known results concerning simultaneous stabilization. The plants considered are recursively expressed in terms of a set of approximations of frequency-shaped plant-model errors. The Controllers in successive loops can be designed based on increasing refinement in model approximation, perhaps via on-line identification. An advantage of the proposed multi-Controller strategy is that a number of various Controller design techniques can be employed to achieve performance objectives which are not conveniently achievable by any one technique. A design example is included with first an LQG design applied for stabilization of a crude nominal model, and then an H∞ optimal design, and finally an H2 optimal design. The latter two designs are aimed at enhancing H∞H2 performances. There could even be a further adaptive loop for on-line performance enhancement.

Jinxin Hao - One of the best experts on this subject based on the ideXlab platform.

  • A sparse Controller Structure with small closed-loop roundoff noise gain
    The 2010 International Conference on Green Circuits and Systems, 2010
    Co-Authors: Jinxin Hao, Teck Chew Wee
    Abstract:

    This paper investigates the roundoff noise effect in the digital Controller on the closed-loop output for a discrete-time feedback control system. Based on a polynomial parametrization approach, a sparse Controller Structure is derived. The performance of the proposed Structure is analyzed by deriving the corresponding expression of closed-loop roundoff noise gain and the problem of finding optimized sparse Structures is solved. A numerical example is presented to illustrate the design procedure and the performance of the proposed Structure compared with those of some existing well-known Structures.

  • Brief paper: An efficient Controller Structure with minimum roundoff noise gain
    Automatica, 2007
    Co-Authors: Jinxin Hao
    Abstract:

    Based on a polynomial operator approach, a new sparse Controller Structure is derived, which is actually an improved version of the recently proposed Structure [Li, G. (2004). A polynomial-operator-based DFIIt Structure for IIR filters. IEEE Transactions on Circuits and Systems II, 51, 147-151]. The performance of the proposed Structure is analyzed by deriving the corresponding expression of roundoff noise gain and the problem of finding optimized sparse Structures is solved efficiently with a genetic algorithm (GA). A numerical example is given, which shows that the newly developed Structure can achieve much better performance than some well-known Structures and particularly outperforms the traditional optimal fully parametrized realization greatly in terms of reducing roundoff noise and implementation complexity.