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Control Theory and Applications, IEE Proceedings D

Issue 2 • Date March 1984

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Displaying Results 1 - 5 of 5
  • Minimum norm state estimation for computer control of water distribution systems

    Page(s): 57 - 63
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (709 KB)  

    The paper presents an algorithm for water-system state estimation in presence of gross errors in measurement data. Application of a modulus norm in place of the more usual least-squares criterion for the minimisation of measurement inconsistency is shown to result in a linear programming formulation. A high computational efficiency for the algorithm is obtained by utilisation of both sparsity techniques and some special features of water distribution systems. Test results are included which demonstrate the applicability of the algorithm for online computer-based state estimation. View full abstract»

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  • New structure for an adaptive servomechanism controller

    Page(s): 64 - 68
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (483 KB)  

    A new stable adaptive controller structure for ensuring asymptotic tracking with disturbance rejection is proposed. The controller structure is identical to the robust servomechanism controller structure when the adaptation is over. The process is assumed to be a linear minimal-phase process. The exogenous signals may be unbounded, but satisfy a known linear difference equation. The parameter adaptation algorithm ensures global convergence of the tracking error. View full abstract»

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  • Simplified technique of model order reduction with performance verification by fast digital simulation

    Page(s): 69 - 73
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (521 KB)  

    The availability of fast interactive digital simulation to test the accuracy of low-order models has greatly increased the viability of trying simple methods of model order reduction. This paper tests the performance of both a pole-truncation technique and a method of concatenating poles in reducing a tenth-order analytical model of an electrode position controller to third order. View full abstract»

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  • A new approach to reduced-order modelling

    Page(s): 74 - 78
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (555 KB)  

    An error polynomial is defined, the coefficients of which indicate the difference at any instant between a system and a model of lower order approximating the system. It is shown how Markov parameters and time series proportionals of the model can be matched with those of the system by setting error polynomial coefficients to zero. Also discussed is the way in which the error between system and model can be considered as being a filtered form of an error input function specified by means of model parameter selection. View full abstract»

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  • Book review: Multivariable System Theory and Design

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    Freely Available from IEEE