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IEE Proceedings - Control Theory and Applications

Issue 6 • Date Nov 1995

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Displaying Results 1 - 19 of 19
  • Parametric approach for eigenstructure assignment in descriptor systems via output feedback

    Publication Year: 1995, Page(s):611 - 616
    Cited by:  Papers (11)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (504 KB)

    Based on an improved result and a simple, complete parametric solution of the generalised Sylvester matrix equation AV+BW=EVF, a complete parametric approach to eigenstructure assignment in continuous-descriptor systems via output feedback is proposed; parametric forms of the gain matrix and the eigenvectors associated with the assigned finite closed-loop eigenvalues are presented. The approach re... View full abstract»

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  • Identification and dynamic weights for LQG control with integral action

    Publication Year: 1995, Page(s):647 - 653
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (552 KB)

    The authors describe how to construct systematically a prefilter for the data entering the identifier, when the task of the latter is to provide a reduced-order plant model to be used for offset-free LQG control with integral action. The problem of choosing suitable dynamic weights for the control performance index is also addressed via a complementary identification procedure acting on the residu... View full abstract»

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  • Optimal control with regional pole constraints via the mapping theory

    Publication Year: 1995, Page(s):638 - 646
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (908 KB)

    The design of optimal linear, time-invariant systems with regional pole constraint is studied. The problem is to find the static state feedback controller to ensure that all closed-loop system poles lie inside the desired region H and, meanwhile, to minimise a multiobjective performance index. The desired region H can be represented by several inequalities. For some special cases, H may consist of... View full abstract»

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  • Near-optimal productivity control of a continuous bioreactor

    Publication Year: 1995, Page(s):633 - 637
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (416 KB)

    Near-optimal productivity control of a continuous bioreactor by a conventional proportional-integral controller poses stability problems, and certain nonlinear controllers yield excessive variation of the manipulated variable. A nonlinear controller based on the Hammerstein model is proposed to overcome such problems. The performance of the proposed nonlinear control is compared with that of the n... View full abstract»

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  • Digital modelling and digital redesign of sampled-data uncertain systems

    Publication Year: 1995, Page(s):585 - 594
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (932 KB)

    A new method for digital model conversion of a continuous-time uncertain system and a new digital redesign method for robust control of a sampled-data uncertain system are presented. The concept of the principle of equivalent areas together with interval arithmetic is utilised for finding the discrete-time uncertain model and the digital robust control law from the continuous-time uncertain state ... View full abstract»

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  • Design of PWM controller for sampled-data system using digitally redesigned PAM controller

    Publication Year: 1995, Page(s):654 - 660
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (576 KB)

    Two issues are addressed: digital redesign of a continuous-time system with an input time delay, and translation of the pulse-amplitude modulated (PAM) controller obtained by the newly proposed digital redesign method into an equivalent pulse-width modulated (PWM) controller. A tuning parameter is introduced into the PAM controller so that the digitally controlled sampled-data states closely match... View full abstract»

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  • Neural network modelling of a 200 MW boiler system

    Publication Year: 1995, Page(s):529 - 536
    Cited by:  Papers (12)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (724 KB)

    A feedforward neural network is trained on noisy data from a validated computer simulation of a 200 MW oil fired, drum-type turbogenerator unit at Ballylumford power station in Northern Ireland. Local nonlinear models, based on a multilayer perceptron with one hidden layer, are shown to give comparable predictive results to those obtained from linear multivariable ARMAX models. Neural modelling is... View full abstract»

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  • Heterogeneous and homogeneous parallel architectures for real-time active vibration control

    Publication Year: 1995, Page(s):625 - 632
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (880 KB)

    The paper presents an investigation into parallel processing techniques for real-time adaptive control of a flexible beam structure. Three different algorithms, namely simulation, control and identification are involved in the adaptive control algorithm. These are implemented on a number of uniprocessor and multiprocessor, homogeneous and heterogeneous, computing platforms involving transputers, d... View full abstract»

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  • Control Theory And Applications

    Publication Year: 1995, Page(s):0_5 - 0_4
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (52 KB)

    First Page of the Article
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  • Application of decoupling method to Hamiltonian systems

    Publication Year: 1995, Page(s):595 - 602
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (816 KB)

    The role played in applied engineering sciences by the nonlinear decoupling method is investigated in the framework of Hamiltonian formalism. Some experiments and results in the fields of robotics, numerical analysis, hydrodynamics and medicine are summarised, and other applications of the method are suggested View full abstract»

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  • Inversion of RBF networks and applications to adaptive control of nonlinear systems

    Publication Year: 1995, Page(s):617 - 624
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (800 KB)

    The paper investigates the application of inversion of a radial basis function network (RBFN) to nonlinear control problems for which the structure of the nonlinearity is unknown. Initially, the RBF network is trained to learn the forward dynamics of the plant. Two different controller structures are then proposed based on this identified RBFN model. In one scheme, a feedback control law is derive... View full abstract»

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  • Direct neural control system: nonlinear extension of adaptive control

    Publication Year: 1995, Page(s):661 - 667
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (580 KB)

    The methodology of design of a conventional model-reference-adaptive-control is extended to design a direct neural for a class of nonlinear system with structural uncertainty. A structured feedforward neural network, a Sigmoid-linear network, is used as the controller, which can be interpreted as a nonlinear extension of the conventional adaptive control. Without a specific pretraining stage, the ... View full abstract»

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  • Linguistic fuzzy model identification

    Publication Year: 1995, Page(s):537 - 544
    Cited by:  Papers (12)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (796 KB)

    The paper presents an approach for identifying a fuzzy model composed of fuzzy-logic based linguistic rules for a multi-input/single-output system. The approach includes structure identification and parameter identification. We propose to utilise a fuzzy c-means clustering and genetic algorithm (GA) hybrid scheme to identify the structure and the parameters of a fuzzy model, respectively. To evalu... View full abstract»

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  • Solution of the bilinear matrix equation using Astrom-Jury-Agniel algorithm

    Publication Year: 1995, Page(s):603 - 610
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (616 KB)

    A simple recursive method is proposed for the computation of the solution to the bilinear matrix equation. Algorithms are presented for both continuous and discrete time bilinear matrix equations. The method is based on an extension of the Astrom-Jury-Agniel algorithm. The proposed technique is illustrated by numerical examples and is compared in terms of efficiency against the Bartels-Stewart met... View full abstract»

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  • Fuzzy model based fault diagnosis

    Publication Year: 1995, Page(s):545 - 550
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (628 KB)

    The paper describes a model based fault diagnosis scheme which uses explicit fuzzy reference models to describe the symptoms of both faulty and fault-free plant operation. The reference models are generated from training data which are produced by computer simulation of typical plant. A fuzzy matching scheme compares the parameters of a fuzzy partial model, identified online using normal operating... View full abstract»

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  • Fuzzy neural networks for nonlinear systems modelling

    Publication Year: 1995, Page(s):551 - 561
    Cited by:  Papers (38)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1032 KB)

    A technique for the modelling of nonlinear systems using a fuzzy neural network topology is described. The input space of a nonlinear system is initially divided into a number of fuzzy operating regions within which reduced order models are able to represent the system. The complete system model output, the global model, is obtained through the conjunction of the outputs of the local models. The f... View full abstract»

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  • Developing a neurocompensator for the adaptive control of robots

    Publication Year: 1995, Page(s):562 - 568
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (676 KB)

    A neural-network compensator is developed for the adaptive control of robot manipulators. The proposed compensator is implemented using the adaptive-linear-combiner algorithm with a special learning rule derived based on the Lyapunov method. Both the system stability and error convergence can be guaranteed. The resulting controller has an implementation advantage in that the adaptation part of the... View full abstract»

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  • Friction compensation and robustness issues in force/position controlled manipulators

    Publication Year: 1995, Page(s):569 - 574
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (644 KB)

    When a manipulator interacts with the external environment, it is important to take into account the presence of friction between the end-effector and the contact surface, as this can cause coupling effects between force and position controlled degrees of freedom and compromise the system stability. In this paper, friction is described by a `complete' model, and a fixed friction compensation funct... View full abstract»

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  • Process for diagnostic reasoning integrating uncertain and temporal information

    Publication Year: 1995, Page(s):575 - 584
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1244 KB)

    A technique appropriate for performing diagnostic reasoning in models which contain both imprecise temporal information and uncertainty is described. Temporal delays along different causal paths can be modelled, including reasoning based on temporal precedence. Nominal-behaviour models and fault-mode models can be used. The single-fault assumption is not made, though it can be included as a degene... View full abstract»

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