The proceedings contains three papers from the 1998 ieecolloquium entitled `Industrial Automation and control: Applications in the Automotive Industry'. Topics discussed include: road prediction for intelligent v...
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The proceedings contains three papers from the 1998 ieecolloquium entitled `Industrial Automation and control: Applications in the Automotive Industry'. Topics discussed include: road prediction for intelligent vehicles using video;advanced collision warning systems;and fuzzy modeling techniquesapplied to an air/fuel ratio control system.
This paper presents a review of matlab/Simulink-based techniques used in the development of fault models of signalling railway systems. The data used to develop the models was derived, both in normal and fault modes, ...
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This paper presents a review of matlab/Simulink-based techniques used in the development of fault models of signalling railway systems. The data used to develop the models was derived, both in normal and fault modes, from operational railway monitoring equipment using four data signals to characterize the electrical and mechanical behaviour of a points mechanism. The main objective of this work was to regenerate three of the data signals from a single monitored signal, thus reducing the number of sensors required to identify and predict a system failure. matlab/Simulink based static curve fitting and dynamic system identification techniques were applied to regenerate the data, and in each case the robustness and accuracy of the fault model are discussed. Finally, the signal regeneration is demonstrated using a Simulink model combining dynamic and linear models.
Due largely to the need for vehicle manufacturers to meet requirements set out in stringent vehicle exhaust emission legislation, control of the air/fuel (A/F) ratio is an active area of research within the automotive...
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Due largely to the need for vehicle manufacturers to meet requirements set out in stringent vehicle exhaust emission legislation, control of the air/fuel (A/F) ratio is an active area of research within the automotive industry. In this context, fuzzy modelling techniques have been applied to the simulated control of the A/F ratio. The method identifies structured nonlinear models, due to the existence of the G and H matrices, that could be readily adapted on-line. The model, used within the control scheme, has been selected using the YIC, which is used to assess the appropriateness of normally linear models, for control. The performance of the model, as part of the combined feedforward/feedback controller, appears satisfactory.
The paper presents a review of matlab/Simulink-based techniques used in the development of fault models of signalling railway systems. The data used to develop the models was derived, both in normal and fault modes, f...
The paper presents a review of matlab/Simulink-based techniques used in the development of fault models of signalling railway systems. The data used to develop the models was derived, both in normal and fault modes, from operational railway monitoring equipment using four data signals to characterise the electrical and mechanical behaviour of a points mechanism. The main objective of the work was to regenerate three of the data signals from a single monitored signal, thus reducing the number of sensors required to identify and predict a system failure. matlab/Simulink based static curve fitting and dynamic system identification techniques were applied to regenerate the data, and in each case the robustness and accuracy of the fault model are discussed. Finally, the signal regeneration is demonstrated using a Simulink model combining dynamic and linear models.
Fuzzy modelling techniques have been applied to the simulated control of the air/fuel ratio. The method enables the identification of structured nonlinear models, due to the existence of the G and H matrices, that cou...
Fuzzy modelling techniques have been applied to the simulated control of the air/fuel ratio. The method enables the identification of structured nonlinear models, due to the existence of the G and H matrices, that could be readily adapted online. The model used within the control scheme has been selected using the Young information criteria, which is used to assess its appropriateness, normally linear models, for control. The performance of the model, as part of the combined feedforward/feedback controller, appears satisfactory. When the nonlinear and time varying nature of the automotive engine system is considered, the fuzzy modelling methods are considered to offer some potential for engine control applications.
The problem of quality control of radiological systems is discussed in relation to the management and quantitative tools normally applied to it. An alternative approach is to consider the problem in terms of a control...
The problem of quality control of radiological systems is discussed in relation to the management and quantitative tools normally applied to it. An alternative approach is to consider the problem in terms of a control loop in which the sets of quality control measurements are compared with their previous values in the context of a numerical model of the system to produce quantitative corrections. A preliminary study of the method applied to mammographic quality control is discussed. By modelling the system with an appropriate set of simultaneous linear equations relating changes in the controlled parameters to the quality control measurements obtained, it is possible to identify quantitative changes in the controlled parameters from measured quality control data using the inverse of the model in matrix form. This method essentially encapsulates knowledge about the system in the form of the linear model. This is distinct from current work attempting to apply artificial intelligence knowledge-based techniques to the problem.
The authors' previous work has demonstrated self-learning fuzzy control as a powerful, flexible and versatile control technique which adapts itself easily to changing patient conditions. It has never previously be...
The authors' previous work has demonstrated self-learning fuzzy control as a powerful, flexible and versatile control technique which adapts itself easily to changing patient conditions. It has never previously been applied to multiple input/output parameter controllers in medicine. The authors are investigating this technique for providing automated control of drug infusions supporting the cardiovascular and renal systems of patients in 'septic shock'. To construct the control system the authors are using this stratagem: modelling the shocked patient; verification of the model; validation of the model; controller strategy development in simulation using the validated model; physical control system development; clinical trials. Here, the authors highlight their validation techniques.
The technique described provides a comprehensive integrated tool for the visualisation, analysis and classification of multidimensional data that is simple and intuitive to use owing to its visual nature. As an integr...
The technique described provides a comprehensive integrated tool for the visualisation, analysis and classification of multidimensional data that is simple and intuitive to use owing to its visual nature. As an integrated tool, it provides users with the maximum information, allowing them to see how the classification system works and which subgroups of data it is able to classify confidently and which it is not. Further, it allows the potential for users to specify arbitrary decision boundaries to discriminate between subgroups of the data of particular interest in a way that is not possible in general classification systems. The technique has been demonstrated by application to the diagnosis of breast cancer from FNAB (Fine Needle Aspirates of Breast tissue) data, where it proved highly successful both in terms of classification results and the detection of correlations between input variables and the desired classification. The promise of the technique has been further demonstrated by the reaction of experienced doctors who found the method to be both simple and intuitive to use and in some respects more useful than existing statistical techniques.
The cold oxidation techniques for pollution controlusing dielectric barrier discharges (DBD) are discussed. The DBD comprise two electrodes, one of which is covered by a dielectric. When voltage is applied across the...
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The cold oxidation techniques for pollution controlusing dielectric barrier discharges (DBD) are discussed. The DBD comprise two electrodes, one of which is covered by a dielectric. When voltage is applied across these electrodes, electrons gain enough energy from the electric field to ionize molecules in the air and produce an avalanche or micro-discharge. It is the current in these micro-discharges that causes the oxidation of any hydrocarbon pollutants. By using a quartz tube/aluminum plate consisting of 2×14 rows of quartz tube electrodes, it is seen that although the overall abatement of pollutant decreases with increased loading at a constant specific energy, the efficiency of the plasma process increases.
The trend of system integration in the automotive industry is evident, particularly in the drive to produce software models for simulation which effectively capture all the dynamics of a typical on-road vehicle. As mo...
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The trend of system integration in the automotive industry is evident, particularly in the drive to produce software models for simulation which effectively capture all the dynamics of a typical on-road vehicle. As more detailed and comprehensive simulation models of on-road vehicles become available, and as the number of different areas in which control, is applied continuous to rise, the need to adopt an integrated approach to the system design process becomes fundamental. Some methods for the design of integrated control systems which are based on modern robust controltechniques are discussed.
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