Control '96, UKACC International Conference on (Conf. Publ. No. 427)

2-5 Sept. 1996

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  • Control of pH in-line using a neural predictive strategy

    Publication Year: 1996, Page(s):1058 - 1063 vol.2
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (468 KB)

    Control of an experimental in-line pH process exhibiting varying nonlinearity and deadtime is described. A radial basis function (RBF) artificial neural network is used to model the nonlinear dynamics of the process. Accommodation of the varying process deadtime in the neural model is achieved by the generation of a feed-forward signal, for input to the neural network, from a downstream pH measure... View full abstract»

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  • Path-following and point-stabilization control laws for a wheeled mobile robot

    Publication Year: 1996, Page(s):878 - 883 vol.2
    Cited by:  Papers (5)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (408 KB)

    Two main problems, concerning wheeled mobile robots, have attracted extensively the attention of many authors in the literature: the path following and the stabilization problems. In this paper, we present a nonlinear pure-state feedback based on partial state feedback linearization and Lyapunov method for the path following problem, and a discontinuous time-varying state feedback for the stabiliz... View full abstract»

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  • Robust disturbance rejection for left invertible systems with measurable and nonmeasurable disturbances

    Publication Year: 1996, Page(s):1010 - 1015 vol.2
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (488 KB)

    The problem of robust disturbance rejection for left invertible linear systems, with nonlinear uncertain structure and with measurable and nonmeasurable disturbances, is studied and solved for the first time. The necessary and sufficient conditions for the problem to have a solution, via an independent of the uncertainties static feedback law, are established. The general explicit expression of th... View full abstract»

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  • Joint control of a walking robot

    Publication Year: 1996, Page(s):884 - 888 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (316 KB)

    A system capable of controlling the leg operation of a mobile walking robot travelling over variable terrain must be capable of adaptive reaction in negotiating unpredictable irregularities in the working floor surface. This paper proposes a motion planning control architecture for a pneumatically powered mobile robot based on the analysis of leg co-ordination and leg trajectory given a demanded b... View full abstract»

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  • 2D systems theory-a common approach to problems in circuits, control and signal processing

    Publication Year: 1996, Page(s):965 - 970 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (644 KB)

    The main aim of the paper is to give an overview of 2D systems theory, with particular emphasis on its role in control, circuits and signal processing applications. The article: (i) highlights the key differences between standard (1D) and nD systems with particular emphasis on the mathematical tools required; (ii) surveys progress in a number of key areas which stretch across the general areas of ... View full abstract»

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  • Adaptive detection of generator out-of-step conditions in power systems using an artificial neural network

    Publication Year: 1996, Page(s):1407 - 1412 vol.2
    Cited by:  Papers (1)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (452 KB)

    The application of artificial neural networks (ANN) to power systems has resulted in an overall improvement of solutions in many implementations. This paper presents a new approach for adaptive out-of-step detection of synchronous generators based on neural networks. The paper describes the ANN architecture adopted as well as the selection of the input features for training the ANN. A feedforward ... View full abstract»

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  • Control and signal processing for two dimensional systems in web forming industries

    Publication Year: 1996, Page(s):1272 - 1277 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (576 KB)

    Considers two dimensional control and signal processing as they occur in manufacturing industries. There are a number of related reasons for studying this area and presenting the collected results. To begin with, two dimensional control and signal processing is an area of systems research which is of theoretical and practical relevance. The theoretical importance flows from the special technical p... View full abstract»

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  • Chemical dosing philosophies for a water treatment plant: results of some pilot plant experimentation

    Publication Year: 1996, Page(s):1052 - 1057 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (540 KB)

    The tight control of pH prior to coagulation is the first phase of a longer term comprehensive research programme. Due to the complex interactions between so many variables it is a necessary precursor to other work. For example, coagulant dose control by means of a streaming current detector (SCD) or feedforward algorithm, which are other areas of on-going investigations, are heavily influenced by... View full abstract»

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  • Sensorimotor control in insects and robots

    Publication Year: 1996, Page(s):1254 - 1259 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (436 KB)

    Traditional control methods, when applied to sensorimotor control of robots, demand high sensor and actuator accuracy and depend on complex information processing. Biological systems, by contrast, typically depend far more on the physical matching of sensors and actuators to specific tasks and environments so that the appropriate behaviour emerges with relatively little information processing, and... View full abstract»

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  • On the application of a fast identification algorithm to fault detection and diagnosis in car engines

    Publication Year: 1996, Page(s):873 - 877 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (288 KB)

    This paper presents the results of an investigation into the applicability of a fast identification algorithm for fault detection and diagnosis in a multicylinder car engine. A nonlinear ARMA model is established, where the coefficients of the model are nonlinear functions of the shaft angle. This approach is compared with a previously proposed parameter estimation based approach. It is shown thro... View full abstract»

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  • The fundamental dominance condition for MIMO systems with parametric uncertainty

    Publication Year: 1996, Page(s):1202 - 1207 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (400 KB)

    The fundamental dominance condition, an improved diagonal dominance measure in the sense that it is weaker than the classical row/column dominance measures, is developed in this paper for MIMO systems with parametric uncertainty and polytopic uncertainty bounds. It is shown that the study of this dominance condition is equivalent to the study of polynomial families. Hence, well established tools d... View full abstract»

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  • On nonlinear continuous observers

    Publication Year: 1996, Page(s):825 - 830 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (492 KB)

    This paper investigates the possibility of using smooth maps with continuous inverses (which are called semi-diffeomorphisms) for the study of observability and observer design for nonlinear smooth systems. A method is proposed for the design of continuous observers for uniformly observable nonlinear systems. The results obtained also include systems that are not covered by all previous results on... View full abstract»

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  • Adaptive implicit control using extremum control methods

    Publication Year: 1996, Page(s):1076 - 1081 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (308 KB)

    Extremum control has uses beyond the conventional optimisation of performance indices related to productivity: it can also fulfill a dynamic control objective. This has been shown by presenting an algorithm that directly optimises a GMV-type of cost function, showing good local convergence properties as well. View full abstract»

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  • Spatial decomposition as a tool for the evaluation and design of cross-directional control systems in sheet metal rolling

    Publication Year: 1996, Page(s):1284 - 1289 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (472 KB)

    Over supply in many segments of the metal strip manufacturing industry drives a need to achieve improved product quality and yield from existing mill stock. This demands improved process control, which is achieved though a range of commercially available actuators, most of which can be used on existing mills. However, these actuators are expensive and frequently their effect on product quality can... View full abstract»

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  • Application of an expert system for robust controller design

    Publication Year: 1996, Page(s):1004 - 1009 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (504 KB)

    This paper describes an expert system and its application to robust control system design. The need for expert systems to aid practising control engineers to perform robust control systems design is discussed. A brief introduction of the H∞ loop shaping design procedure is included. The role of expert systems in robust control systems design is discussed. We outline the structure ... View full abstract»

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  • Analysis of relationship between chaotic dynamics and stochastic processes

    Publication Year: 1996, Page(s):1232 - 1237 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (420 KB)

    This paper presents an equivalence relation between chaotic and stochastic systems based on a combinatorial study of chaotic dynamics and stochastic processes. The study focuses on the dynamic density of chaotic systems and Brownian motion in stochastic systems. The equivalency in invariant measure and ergodicity between the two systems is defined. Based on the definition, the equivalence relation... View full abstract»

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  • Optimal linear control for a class of nonlinear systems

    Publication Year: 1996, Page(s):936 - 940 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (248 KB)

    A new optimal nonlinear feedback control law is presented, which is based on the differential geometric approach and linear control theory. By means of this control law and nonlinear change of coordinates, a class of nonlinear control systems can be reformed to a linear optimal and decoupling system. An angle control system of a mechanical arm driven by DC motor and another example are introduced.... View full abstract»

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  • PIP optimal control with a risk sensitive criterion

    Publication Year: 1996, Page(s):959 - 964 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (484 KB)

    The paper shows how the 'complete observations' formulation of linear exponential of quadratic Gaussian (LEQG) control theory can be applied within a nonminimal state space (NMSS) context. This complete observations solution is not restrictive within the NMSS formulation since all the NMSS states are readily available for measurement. As a result, the associated PIP-LEQG controller (proportional i... View full abstract»

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  • Constrained multivariable cautious stable predictive control

    Publication Year: 1996, Page(s):1356 - 1361 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (440 KB)

    Necessary and sufficient conditions for the stability of predicted input/output trajectories form the basis of predictive control algorithms with guaranteed stability; the proof of stability derives from the fact that the resulting optimal cost of performance behaves as a stable Lyapunov function. While the single-input single-output case is in the open literature, this paper extends these concept... View full abstract»

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  • Modelling and control of electropneumatic systems: an overview of recent French contributions

    Publication Year: 1996, Page(s):1462 - 1467 vol.2
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (528 KB)

    This paper describes different simulation and control models for electropneumatic systems and presents the different control laws developed by the Laboratoire d'Automatique Industrielle de l'INSA de Lyon. View full abstract»

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  • Constrained receding horizon predictive control of a binary distillation column

    Publication Year: 1996, Page(s):793 - 798 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (388 KB)

    A state space predictive control algorithm, with state constraints at the end-point, is evaluated on a real plant showing nonlinear behaviour. Predictive control techniques based on linear state space model description can find difficulties when applied to a real system with nonlinear behaviour, for example the controlled system may present a steady state offset or bias in the step response. We il... View full abstract»

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  • Standards-a user's perspective

    Publication Year: 1996, Page(s):1402 - 1406 vol.2
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (456 KB)

    There are currently major changes underway within the process industries on how standards are viewed. There is a trend away from in-house company standards towards industry-wide standards. At the same time the standards themselves are taking a "prescriptive" rather than "descriptive" approach. Within Europe standards are being used to enforce legislation aimed at opening the market. This paper loo... View full abstract»

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  • N-D nonuniform sampling approach to neurocontrol: a guided tour

    Publication Year: 1996, Page(s):987 - 992 vol.2
    Cited by:  Patents (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (568 KB)

    This paper presents an overview of an approach to deterministic, discrete-time neurocontrol of nonlinear (NARMA) dynamic systems, given input-output data of finite length. We explain a novel modelling technique based on nonuniform multi-dimensional (N-D) sampling and Fourier analysis. Important issues of adaptation and persistency of excitation (PE) are addressed. In order to deal with the modelli... View full abstract»

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  • Cumulant/bispectrum model structure identification applied to a pH neutralization process

    Publication Year: 1996, Page(s):1046 - 1051 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (436 KB)

    A process model structure identification criteria based on the cumulants and bispectrum of output response data is applied to a laboratory-scale pH neutralization process. The resulting model structure is appropriate and is consistent with a priori physical information. View full abstract»

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  • Learning periodic signals with recurrent neural networks

    Publication Year: 1996, Page(s):1131 - 1136 vol.2
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract |PDF file iconPDF (444 KB)

    A class of recurrent neural network configurations that are related to control systems have been introduced. The main result states that this class of recurrent neural networks generates a limit cycle for a broad range of parameter values. When the parameters of the network cross a specified area in the parameter space, the origin becomes an asymptotic equilibrium point. The fact that the recurren... View full abstract»

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