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IEE Proceedings - Control Theory and Applications

Issue 4 • Date Jul 1994

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Displaying Results 1 - 10 of 10
  • Low-order H suboptimal controllers

    Publication Year: 1994, Page(s):243 - 248
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (360 KB)

    The paper presents a methodology for the problem of reducing the order of H suboptimal controllers. It is shown how the order of H suboptimal controllers may be reduced to n-p2 and how for some plants the order may be less than n-p 2, where n is the size of the system matrix of the generalised plant and p2 is the number of proces... View full abstract»

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  • Self tuning of computed torque gains by using neural networks with flexible structures

    Publication Year: 1994, Page(s):235 - 242
    Cited by:  Papers (11)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (404 KB)

    The paper principally describes the design of an artificial neural network using flexible sigmoid unit functions (FSUFs), referred to as flexible sigmoid function networks (FSFNs), to achieve both a high flexibility and a high learning ability in neural network structures from a given set of teaching patterns. An FSFN can generate an appropriate shape of the sigmoid function for each of the indivi... View full abstract»

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  • Robust nonlinear control of heating plant

    Publication Year: 1994, Page(s):227 - 234
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (524 KB)

    A tutorial description of results in the area of continuous nonlinear control and observation of uncertain systems is presented. The theoretical results are applied to the practical problem of temperature control of an industrial heating plant. The results obtained during plant trials are presented. A detailed comparison is made between the performance and robustness which may be achieved using a ... View full abstract»

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  • New method of parametric eigenvalue assignment in state feedback control

    Publication Year: 1994, Page(s):223 - 226
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (188 KB)

    A new method is described for the assignment of eigenvalues of closed-loop plants in linear time-invariant multivariable systems. The parameterisation of controllers is based on the derivation of zero eigenvalue assignment by implementation of vector companion forms. This method is computationally very attractive and can be used for optimisation of the feedback matrix which assigns the closed-loop... View full abstract»

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  • Adaptive control of discrete systems using neural networks

    Publication Year: 1994, Page(s):209 - 215
    Cited by:  Papers (22)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (328 KB)

    A neural network controller which is used for controlling unknown discrete-time DARMA systems is described. A two-layered neural network is used to estimate the unknown plant dynamics. The well known Widrow-Hoff delta rule is used as the learning algorithm for this network, to minimise the difference between the plant actual response and that predicted by the neural network. The control law is gen... View full abstract»

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  • Online system identification using Laguerre series

    Publication Year: 1994, Page(s):249 - 254
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (316 KB)

    An online system identification scheme is proposed based on a Fourier-Laguerre series representation of the unknown impulse response. The unknown parameters are determined using a gradient estimator. Noise effects are considered. The proposed identification scheme is applied to a system with time delay View full abstract»

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  • Neural network modelling of unknown nonlinear systems subject to immeasurable disturbances

    Publication Year: 1994, Page(s):216 - 222
    Cited by:  Papers (7)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (428 KB)

    A neural network scheme for modelling unknown nonlinear systems subject to immeasurable disturbances that satisfy stable, finite-order, recurrence relationships whose parameters are known is presented. The systems considered can be expressed as nonlinear ARMAX models and the disturbance is nonstochastic. Similar to robust servomechanism design, the nonlinear modes of the disturbances are assumed t... View full abstract»

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  • Two-stage suboptimal dual controller for systems with stochastic parameters using optimal predictors

    Publication Year: 1994, Page(s):255 - 260
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (304 KB)

    A suboptimal dual controller is presented for a class of linear systems with unknown and randomly varying parameters. The loss function which is minimised consists of the sum of output variances up to two steps ahead in time, conditioned on past values of the control and output signals. Optimal predictors are used to replace the future outputs which are needed to compute the control signal at each... View full abstract»

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  • Synchronised servomechanisms-the scalar-field approach

    Publication Year: 1994, Page(s):261 - 273
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (784 KB)

    There is a current trend in manufacturing industry towards the improvement of the flexibility and productivity of machinery. A popular way of achieving these improvements is to remove some or all of the mechanical couplings (gears and cams, for example) that are usually used to synchronise the various parts of the machine. Each part of the machine is instead driven by a servomotor, and the servomo... View full abstract»

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  • Constrained stable generalised predictive control

    Publication Year: 1994, Page(s):274 - 276
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (176 KB)

    The author shows that the mixed-weights least-squares (MWLS) algorithm of Rossiter and Kouvaritakis (ibid., vol. 140, p. 243-54, 1993) can be used for the general positive-definite quadratic programming problem under mild assumptions about the feasible set. This also allows one to use the MWLS algorithm for the general linear programming problem. Thus it is concluded that the algorithm deserves wi... View full abstract»

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