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Adaptive Control (Digest No: 1996/139), IEE Colloquium on

Date 13 Jun 1996

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Displaying Results 1 - 8 of 8
  • Universal regulators for discrete-time systems

    Publication Year: 1996, Page(s):2/1 - 2/5
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (248 KB)

    The paper presents an approach to the problem of universal adaptive stabilization for discrete-time systems by means of switching controllers, as previously developed in different ways by Martensson (1985), Fu-Barmish (1986), Miller-Davison (1989), for continuous-time systems. It is assumed that the plant is linear, time-invariant and can be stabilized by a feedback compensator of known structure,... View full abstract»

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  • Low gain control of uncertain distributed parameter systems: I and II

    Publication Year: 1996, Page(s):3/1 - 3/4
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (152 KB)

    Considers a low gain tracking problem for a general class of open loop stable systems or plants. It is well known that closing the loop around a stable, finite dimensional, single input, single output plant, with transfer function G(s), compensated by a pure integral controller will result in a stable closed loop system which achieves asymptotic tracking of arbitrary constant reference signals, pr... View full abstract»

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  • High-gain adaptive control: an overview

    Publication Year: 1996, Page(s):1/1 - 1/4
    Cited by:  Papers (15)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (236 KB)

    Up to the end of the 1970s, most adaptive control mechanisms would attempt to identify or to estimate certain parameters of the plant, and then design a feedback controller on the basis of this information. In this paper an overview is given on adaptive controllers which are not based on any parameter identification or estimation algorithm. The objective is not to obtain information about the plan... View full abstract»

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  • Adaptive control of a materials-testing machine

    Publication Year: 1996, Page(s):4/1 - 4/4
    Cited by:  Papers (1)  |  Patents (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (296 KB)

    Testing is vital in the search for better materials, for quality control in manufacture, and for assurance about the life-time of components when subjected to cyclic loading. The adaptive control of servohydraulic materials testing machines is the subject of this paper. The machines described typically use sampling rates of 5kHz, have bandwidths of up to 500Hz, and control powers of many tens of k... View full abstract»

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  • Adaptive iterative learning control

    Publication Year: 1996, Page(s):6/1 - 6/4
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (232 KB)

    Describes the basic ideas underpinning the notion of iterative learning control (ILC) for systems where the experimental set-up permits the use of repetition to enable the controller to increase its accuracy in tracking of a specified set-point signal r(t). The resultant process of learning requires a new viewpoint on aspects of classical control design that presents new problems and new opportuni... View full abstract»

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  • Frequency domain self-tuning for vibration control

    Publication Year: 1996, Page(s):8/1 - 8/5
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (272 KB)

    Synergetic interaction of identification and control has been investigated for a frequency domain approach to adaptive semi-active suspension scheme for vehicle vibration control. It is proved that the loop of identification and control can be closed while the adaptive scheme remains stable for time varying plant dynamics. The control scheme presented is a special type of dual controller-an online... View full abstract»

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  • Dynamic extremum control

    Publication Year: 1996, Page(s):5/1 - 5/5
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (300 KB)

    Extremum control (EC) deals with steady-state optimisation of noisy nonlinear systems and this work is concerned with the use of self-tuning EC methods to control system dynamic behaviour. Previous research has shown the robustness of self-tuning EC to unmodelled nonlinearities. The possibility of having a similar kind of robustness when dealing with dynamic control provided motivation for the dev... View full abstract»

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  • Structural problems in adaptive neuro control

    Publication Year: 1996, Page(s):7/1 - 7/2
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (164 KB)

    We study the relation between neural network based control and nonlinear parametric adaptive control. We consider the static problem and give results which show that, for smooth systems, continuous stabilising controls imply the existence of neural network controls for compact sets of initial conditions. We discuss the possibilities for global results and show that this is possible in a very restr... View full abstract»

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