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IET Control Theory & Applications

Issue 5 • Date May 2009

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Displaying Results 1 - 9 of 9
  • Reduced-order L2-L/∞ filtering for a class of nonlinear switched stochastic systems

    Publication Year: 2009, Page(s):493 - 508
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (280 KB)

    The L2-Linfin filtering problem for a class of nonlinear switched stochastic systems is dealt with here. The authors attention is focused on the design of full- and reduced-order filters that guarantee the filtering error system to be mean-square exponentially stable with a prescribed weighted L2-Linfin performance. Sufficient conditions are proposed by ... View full abstract»

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  • Smoothness priors support vector method for robust system identification

    Publication Year: 2009, Page(s):509 - 518
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (200 KB)

    Support vector regression (SVR) is applied to identify linear dynamical systems. The system model is described in terms of basis functions, such as Laguerre or Kautz filters, and the coefficients of the expansion are determined using support vector machine regression. In SVR, the variance of the parameter estimates is bounded by the inclusion of a quadratic regularisation term. Here, model complex... View full abstract»

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  • Robust tracking control for a class of uncertain electrically driven robots

    Publication Year: 2009, Page(s):519 - 532
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (844 KB)

    The problem of designing robust tracking controls for a large class of robots actuated by brushed direct current motors is addressed. This class of electrically driven robots can be perturbed by plant uncertainties, unmodelled time-varying perturbations and external disturbances. Adaptive neural network (or fuzzy) systems are employed to approximate the behaviours of uncertain dynamics, and the va... View full abstract»

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  • On the sensitivity of the control structure selection problem in large-scale multivariable systems

    Publication Year: 2009, Page(s):533 - 550
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1118 KB)

    In complex manufacturing processes, control structure selection poses a serious challenge for the control engineer. Such systems are typically interacting, large scale and may comprise many loops. Choosing a correct control structure is not often a straightforward process, especially, if as it often is the case, one is faced with the challenge of having to integrate additional proposed control sys... View full abstract»

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  • Bond graph toolbox for handling complex variable

    Publication Year: 2009, Page(s):551 - 560
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (721 KB)

    Bond graph is an apt modelling tool for any system working across multiple energy domains. Power electronics system modelling is usually the study of the interplay of energy in the domains of electrical, mechanical, magnetic and thermal. The usefulness of bond graph modelling in power electronic field has been realised by researchers. Consequently in the last couple of decades, there has been a st... View full abstract»

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  • H fuzzy filtering design for non-linear sampled-data systems

    Publication Year: 2009, Page(s):561 - 574
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (648 KB)

    The problem of H infin filtering design is studied for non-linear sampled-data systems using the Takagi-Sugeno (T-S) fuzzy model approach. The sampled-data filtering is to estimate the states of a continuous-time system using only sampled measurements at discrete instants of time. Traditionally, the sufficient conditions for the existence of such an H infin filt... View full abstract»

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  • Robust PDF control with guaranteed stability for non-linear stochastic systems under modelling errors

    Publication Year: 2009, Page(s):575 - 582
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (313 KB)

    The authors consider the robust probability density function (PDF) control problem for nonlinear stochastic systems. The controlled systems are described by using non-Gaussian nonlinear difference equations with the un-modelled uncertainty and modelling error, as well as time delays. The non-linear multi-step-ahead predictive cost function is adopted and the relationship between the PDFs of the in... View full abstract»

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  • Simultaneous fault detection and control for uncertain linear discrete-time systems

    Publication Year: 2009, Page(s):583 - 594
    Cited by:  Papers (7)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (299 KB)

    This paper studies the simultaneous fault detection and control problem for linear uncertain discrete-time systems. A design procedure dealing with polytopic uncertainties is proposed for residual generation, where both the fault detection objectives and some control objectives are considered simultaneously through certain performance indexes. To cope with the fault sensitivity performance index i... View full abstract»

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  • Blind force/position control on unknown planar surfaces

    Publication Year: 2009, Page(s):595 - 603
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (298 KB)

    In robot contact tasks on planar surfaces with frictional contacts, kinematic uncertainties of the contacted surface affect the control system performance and distort control targets. An adaptive controller that uses force and joint position/velocity measurements to simultaneously learn the surface orientation and achieve the desired goal is proposed. Simulation examples are used to illustrate the... View full abstract»

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IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods.

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