The Experts below are selected from a list of 91392 Experts worldwide ranked by ideXlab platform

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

  • gain scheduling dynamic Linear Controllers for a nonLinear plant
    Automatica, 1995
    Co-Authors: Douglas A Lawrence, Wilson J Rugh
    Abstract:

    For a general type of nonLinear tracking problem, we consider gain scheduling based on a family of Linear dynamic Controllers designed for a family of plant Linearizations about constant operating points. A necessary and sufficient condition for the existence of gain scheduled Controllers satisfying appropriate requirements is presented. Using this condition, the impact of Linear Controller configuration on the existence of a gain scheduled Controller can be assessed, and ad hoc approaches to scheduling can be analyzed.

  • gain scheduling dynamic Linear Controllers for a nonLinear plant
    Conference on Decision and Control, 1993
    Co-Authors: Douglas A Lawrence, Wilson J Rugh
    Abstract:

    For a general type of nonLinear tracking problem, the authors consider gain scheduling based on a family of Linear dynamic Controller designs for a family of plant Linearizations about constant operating points. Necessary and sufficient conditions for existence of gain scheduled Controllers satisfying appropriate requirements are presented. Using these conditions, the impact of Linear Controller configuration on existence of a gain scheduled Controller is discussed. >

Shumin Fei - One of the best experts on this subject based on the ideXlab platform.

  • dynamic Linear Controller design for a class of high order nonLinear systems via state feedback
    Conference on Decision and Control, 2015
    Co-Authors: Wenting Zha, Junyong Zhai, Chunjiang Qian, Shumin Fei
    Abstract:

    The objective of this paper is to address the Linear state-feedback control problem for a family of high-order uncertain nonLinear systems. Based on the adding a power integrator technique, the authors recursively construct a Linear Controller with dynamic gains, which can be used to deal with the uncertain nonLinear terms and simplify the Controller structure. Moreover, it is proved that the proposed control law can globally regulate system states to the origin and guarantee the boundedness of all the signals of the closed-loop system as well. Finally, a simulation example is presented with some comparison with the existing result so as to demonstrate the effectiveness of the proposed design scheme.

  • global output feedback stabilisation for a class of uncertain non Linear systems
    Iet Control Theory and Applications, 2013
    Co-Authors: Junyong Zhai, Shumin Fei
    Abstract:

    This study addresses the problem of global stabilisation by output feedback for a class of uncertain non-Linear systems whose output functions are not precisely known. To solve the problem, the authors first construct a new observer and then use the adding one power integrator technique to design a Linear Controller to globally stabilise the uncertain non-Linear system. It is shown that global exponential stability of the closed-loop system is guaranteed by an appropriate choice of the design parameters.

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

  • brief on the model based control of networked systems
    Automatica, 2003
    Co-Authors: Luis A Montestruque, Panos J Antsaklis
    Abstract:

    In this paper the control of Linear plants, where the sensor is connected to a Linear Controller/actuator via a network is addressed. Both, state and output feedback, are considered and results are derived for both continuous and discrete plants. A key idea is that knowledge of the plant dynamics is used to reduce the usage of the network. Necessary and sufficient conditions for stability are derived as simple eigenvalue tests of a well-structured test matrix, constructed in terms of the update time h, and the parameters of the plant and of its model. These tests are extended to include network delay as well.

  • state and output feedback control in model based networked control systems
    Conference on Decision and Control, 2002
    Co-Authors: Luis A Montestruque, Panos J Antsaklis
    Abstract:

    In this paper the control of a continuous Linear plant where the sensor is connected to a Linear Controller/actuator via a network is addressed. Both the state and output feedback are considered. The work focuses on reducing the network usage using knowledge of the plant dynamics. Necessary and sufficient conditions for stability are derived in terms of the update time h, network delay, and parameters of the plant and of its model. The deterioration of behavior when either h, the delay /spl tau/, or the modeling error increase is explicitly shown and examples are used to illustrate the results.

Douglas A Lawrence - One of the best experts on this subject based on the ideXlab platform.

  • gain scheduling dynamic Linear Controllers for a nonLinear plant
    Automatica, 1995
    Co-Authors: Douglas A Lawrence, Wilson J Rugh
    Abstract:

    For a general type of nonLinear tracking problem, we consider gain scheduling based on a family of Linear dynamic Controllers designed for a family of plant Linearizations about constant operating points. A necessary and sufficient condition for the existence of gain scheduled Controllers satisfying appropriate requirements is presented. Using this condition, the impact of Linear Controller configuration on the existence of a gain scheduled Controller can be assessed, and ad hoc approaches to scheduling can be analyzed.

  • gain scheduling dynamic Linear Controllers for a nonLinear plant
    Conference on Decision and Control, 1993
    Co-Authors: Douglas A Lawrence, Wilson J Rugh
    Abstract:

    For a general type of nonLinear tracking problem, the authors consider gain scheduling based on a family of Linear dynamic Controller designs for a family of plant Linearizations about constant operating points. Necessary and sufficient conditions for existence of gain scheduled Controllers satisfying appropriate requirements are presented. Using these conditions, the impact of Linear Controller configuration on existence of a gain scheduled Controller is discussed. >

Ivanka M Stamova - One of the best experts on this subject based on the ideXlab platform.

  • global mittag leffler stability and synchronization of impulsive fractional order neural networks with time varying delays
    Nonlinear Dynamics, 2014
    Co-Authors: Ivanka M Stamova
    Abstract:

    In this paper we consider a class of impulsive Caputo fractional-order cellular neural networks with time-varying delays. Applying the fractional Lyapunov method and Mittag-Leffler functions, we give sufficient conditions for global Mittag-Leffler stability which implies global asymptotic stability of the network equilibrium. Our results provide a design method of impulsive control law which globally asymptotically stabilizes the impulse free fractional-order neural network time-delay model. The synchronization of fractional chaotic networks via non-impulsive Linear Controller is also considered. Illustrative examples are given to demonstrate the effectiveness of the obtained results.