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Control Theory and Applications, IEE Proceedings -

Issue 3 • Date May 1994

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Displaying Results 1 - 10 of 10
  • Necessary conditions for limit cycles in multiloop relay systems

    Publication Year: 1994, Page(s):163 - 168
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (388 KB)

    The paper examines the behaviour of multivariable systems under multiloop relay feedback control. The analysis is a generalisation of the Tsypkin method (1984) for the prediction of forced oscillations in single variable systems. It is exact in the sense that a complete harmonic balance is considered in all the loops. The results are valid for systems with characteristic loci with phase lags more ... View full abstract»

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  • Near time-optimal control of nonlinear servomechanisms

    Publication Year: 1994, Page(s):145 - 153
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (456 KB)

    Time-optimal control of a servomechanism requires a nonlinear control law based on a switching function. The switching function depends on the characteristics of the actuator and on the load. In practical servomechanisms the friction load may be unknown and may slowly vary. In such cases the optimal switching function is unknown prior to the start of each move. A controller is developed which esti... View full abstract»

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  • Numerical robustness and efficiency of generalised predictive control algorithms with guaranteed stability

    Publication Year: 1994, Page(s):154 - 162
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (556 KB)

    Three recent publications proposed modifications to the generalised predictive control algorithm which guarantee closed-loop stability. Of these the first two adopt the same philosophy, namely that of constrained receding horizon predictive control (CRHPC), whereas the third adopts a stable generalised predictive control (SGPC) strategy by first stabilising then controlling the plant. The purpose ... View full abstract»

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  • Adaptive control of discrete-time nonlinear systems using recurrent neural networks

    Publication Year: 1994, Page(s):169 - 176
    Cited by:  Papers (23)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (464 KB)

    A learning and adaptive control scheme for a general class of unknown MIMO discrete-time nonlinear systems using multilayered recurrent neural networks (MRNNs) is presented. A novel MRNN structure is proposed to approximate the unknown nonlinear input-output relationship, using a dynamic back propagation (DBP) learning algorithm. Based on the dynamic neural model, an extension of the concept of th... View full abstract»

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  • New robust model reference adaptive control algorithm

    Publication Year: 1994, Page(s):177 - 180
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (232 KB)

    A new robust model reference adaptive control scheme is proposed to achieve robustness to bounded disturbance. A key feature of this scheme is that the knowledge of neither the upper bound on the disturbance nor the upper bound on the norm of the matching controller parameters is required. Another advantage of the scheme is its zero output error tracking View full abstract»

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  • Simultaneous robust stabilisation of two normalised coprime factor plant balls

    Publication Year: 1994, Page(s):191 - 196
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (340 KB)

    The problem treated concerns the design of a single controller which simultaneously stabilises two nonconcentric balls of single-input/single-output plants. This is done by using the normalised left coprime factor plant description with H-bounded uncertainty to characterise each plant ball. Necessary conditions for being able to solve this problem are developed and used to provid... View full abstract»

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  • Kernels of anticausal operators and the multivariable generalised predictive control problem

    Publication Year: 1994, Page(s):181 - 190
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (672 KB)

    Eigenvector or principal direction projections provide a convenient means of decomposing the multivariable problem into a set of scalar control problems, each of which can be solved using single-input single-output generalised predictive control. However the bicausal nature of eigenvector or principal direction representations leads to anticausality difficulties which in the past have been overcom... View full abstract»

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  • Observing a subset of the states of linear systems

    Publication Year: 1994, Page(s):137 - 144
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (464 KB)

    A selective state observer capable of asymptotically tracking any arbitrarily chosen subset of the state vector of linear time-invariant multivariable dynamic systems is introduced. The dynamics of the observer are derived from a model of the subset to be estimated. It is shown that the only condition for the asymptotic tracking of the subset is that the derived model be observable. A simple and s... View full abstract»

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  • Decoupling design of multivariable generalised predictive control

    Publication Year: 1994, Page(s):197 - 201
    Cited by:  Papers (5)  |  Patents (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (276 KB)

    For many multivariable systems, because of the strong cross coupling between controlled variables, it is important to design the decoupling controller. The paper presents a decoupling design of multivariable generalised predictive control by combining feedforward control with multivariable generalised predictive control, which can realise decoupling control for systems with arbitrary time delay st... View full abstract»

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  • Robust control design via eigenstructure assignment, genetic algorithms and gradient-based optimisation

    Publication Year: 1994, Page(s):202 - 208
    Cited by:  Papers (14)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (376 KB)

    The paper presents a new approach for robust control design of multivariable systems via eigenstructure assignment, genetic algorithms and gradient-based optimisation. It takes the combination of the sensitivity and the complementary sensitivity functions of the closed-loop system as the robust control performance index. The gradient calculation of the performance index is described in detail for ... View full abstract»

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