The proceedings contains 12 papers from the ieecolloquium on `Teaching of Mathematics for Engineering'. Topics discussed include: computer-aided instruction;engineering curricula;computer algebra systems (CAS);al...
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The proceedings contains 12 papers from the ieecolloquium on `Teaching of Mathematics for Engineering'. Topics discussed include: computer-aided instruction;engineering curricula;computer algebra systems (CAS);algorithms;isomorphic graphs;abstract mathematics;fuzzy logic control;and artificial neuralnetworks.
The proceedings contains 5 papers on AI applications in power systems. Topics discussed include expert systems, decision support systems, electric power system protection, voltage control, neuralnetworks, genetic alg...
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The proceedings contains 5 papers on AI applications in power systems. Topics discussed include expert systems, decision support systems, electric power system protection, voltage control, neuralnetworks, genetic algorithms, planning, systems analysis and mathematical models.
This contribution describes the concept and performance of neuro-fuzzy modelling and neuro-fuzzy model based control. The technique has been applied to a highly nonlinear neutralisation process. It is shown that the n...
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This contribution describes the concept and performance of neuro-fuzzy modelling and neuro-fuzzy model based control. The technique has been applied to a highly nonlinear neutralisation process. It is shown that the neuro-fuzzy model is easy to interpret and provides accurate predictions. The proposed neuro-fuzzy model based control strategy utilises local incremental models which can naturally eliminate steady state offsets. It is shown that the neuro-fuzzy model based controller gives much improved performance compared to that of a linear model based controller.
The proceedings contains 9 papers on the Qualitative and quantitative modelling methods for fault diagnosis. Topics discussed include failure analysis, error detection, error analysis, systems analysis, constraint the...
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The proceedings contains 9 papers on the Qualitative and quantitative modelling methods for fault diagnosis. Topics discussed include failure analysis, error detection, error analysis, systems analysis, constraint theory, adaptive systems, fuzzy sets, neuralnetworks, process engineering and mathematical models.
The proceedings contains 8 papers. Topics discussed include self tuning control application to automation voltage regulation, online adaptive control of steel hot rolling, adaptive control applications in stone proces...
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The proceedings contains 8 papers. Topics discussed include self tuning control application to automation voltage regulation, online adaptive control of steel hot rolling, adaptive control applications in stone processing, generalized predictive control in medicine, fuzzy control application to industrial systems, adaptive control based on system knowledge, multiburner furnace control, and neuralnetworks in computer control.
The introduction of transmission system based on the Synchronous Digital Hierarchy (SDH) has created new opportunities for flexible and resilient transmission networks. This paper looks at reasons to deploy SDH in rai...
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The introduction of transmission system based on the Synchronous Digital Hierarchy (SDH) has created new opportunities for flexible and resilient transmission networks. This paper looks at reasons to deploy SDH in railway networks, and reviews some of the design considerations. The complementary technologies of WDM, ATM and flexible adaptation multiplexers are also introduced. Some of the new services which will become available once broadband capacity can be provisioned from the network to stations, control centres and the railway lineside are described.
The proceedings contains 7 papers on real time knowledge based systems. Topics discussed include fault diagnosis using cost bounded possibilistic Assumption based Truth Maintenance System (ATMS), scheduling for time c...
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The proceedings contains 7 papers on real time knowledge based systems. Topics discussed include fault diagnosis using cost bounded possibilistic Assumption based Truth Maintenance System (ATMS), scheduling for time constrained model based diagnosis, neuralnetworks for real time knowledge based applications, methodology for developing model based diagnostic systems, large scale real time knowledge based methods and technology, bloom and billet mill expert systems, and a model based and rule based real time tool for monitoring and diagnosis of dynamic systems.
The basic concepts of PID control can be generalized within the same structure but allowing for the control of complicated dynamic systems using advanced control design algorithms. This structure arises naturally from...
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The basic concepts of PID control can be generalized within the same structure but allowing for the control of complicated dynamic systems using advanced control design algorithms. This structure arises naturally from the system description and does not need to be imposed artificially. Recent advances in Local Model networks give a neat extension of the basic (generalized) PID structure to handle nonlinear or time-varying systems.
The paper proposes a novel adaptive three-phase autoreclosure technique for double circuit systems using a neural network approach. Based on the investigation of digital simulation of various types of fault on such sy...
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The paper proposes a novel adaptive three-phase autoreclosure technique for double circuit systems using a neural network approach. Based on the investigation of digital simulation of various types of fault on such systems, some salient features are summarized and extracted which are then used as the inputs of neuralnetworks. A three-layer neural network is constructed, trained and tested. The results indicate that the proposed approach is very reliable.
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