54 research outputs found

    Self-Organising Fuzzy Logic Control and its Application to Muscle Relaxant Anaesthesia

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    In this paper the authors describe the use of Self-Organising Fuzzy Logic Control (SOFLC) for automated drug delivery in muscle relaxant anaesthesia. The self-elicitation of a knowledge base is shown to be robust in the presence of model uncertainty, noise contamination and parameter changes. Being computing intensive, SOFLC is considered for parallel implementation on transputers, both via use of Lisp interpreter and direct Occam coding. SOFLC in Occam code gave a fast implementation, which could be further speeded up using multiple transputers

    Self-Organising Learning Control and its Applications to Muscle Relaxant Anaesthesia

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    Controlling systems with interacting response variables and interacting actuators has been a formidable task requiring expensive modelling to identify measure plant characteristics. These attempts often result in less than an ideal controller. With self-organising techniques the uncertainty of plant behaviour need not be an obstacle to fast, efficient and stable control. In fact they do not require a definitive course of action based on a given set of conditions.......

    An Adaptive Analogue Tracker for Automatic Measurement of Time-Varying Lung Parameters

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    This research report describes the design and results obtained using simple electronic circuits specially designed for implementing a single lung parameter tracking algorithm for identification of the mechanical properties of the lung. Unlike the commonly used loop-flattening technique, the adaptive electronic tracker is able to monitor continuously the mechanical properties of the respiratory system. It is capable of tracking the rapid changes in lung parameters as the frequency of breathing changes. The design of the adaptive tracker is based on equation-error formulation and the global asymptotic stability of the adaptive tracking equations is guaranteed. The cheapness and simplicity of the tracker makes it suitable for clinical applications

    An Integrated Physiological Model of the Lung Mechanics and Gas Exchange Using Electrical Impedance Tomography in the Analysis of Ventilation Strategies in ARDS Patients

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    Mouloud Denai, M. Mahfouf, A. Wang, D. A. Linkens, and G. H. Mills, 'An Integrated Physiological Model of the Lung Mechanics and Gas Exchange Using Electrical Impedance Tomography in the Analysis of Ventilation Strategies in ARDS Patients'. Paper presented at the 3rd International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2010), 20 - 23 January 2010, Valencia, Spain.Peer reviewedFinal Published versio

    Microstructure modelling of hot deformation of Al–1%Mg alloy

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    This study presents the application of the finite elementmethod and intelligent systems techniques to the prediction of microstructural mapping for aluminium alloys. Here, the material within each finite element is defined using a hybrid model. The hybrid model is based on neuro-fuzzy and physically based components and it has been combined with the finite element technique. The model simulates the evolution of the internal state variables (i.e. dislocation density, subgrain size and subgrain boundary misorientation) and their effect on the recrystallisation behaviour of the stock. This paper presents the theory behind the model development, the integration between the numerical techniques, and the application of the technique to a hot rolling operation using aluminium, 1 wt% magnesium alloy. Furthermore, experimental data from plane strain compression (PSC) tests and rolling are used to validate the modelling outcome. The results show that the recrystallisation kinetics agree well with the experimental results for different annealing times. This hybrid approach has proved to be more accurate than conventional methods using empirical equations

    Learning control using fuzzified self-organizing radial basis function network

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    10.1109/91.251928IEEE Transactions on Fuzzy Systems14280-287IEFS

    FCMAC: A fuzzified cerebellar model articulation controller with self-organizing capacity

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    10.1016/0005-1098(94)90154-6Automatica304655-664ATCA

    Mode Analysis of a Tubular Structure of Coupled Non-Linear Oscillators for Small-Intestinal Modelling

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    A commonly accepted mathematical model for the slow-wave electrical activity of the gastro-intestinal tract of humans and animals comprises a set of interconnected non-linear oscillators. Using a van der Pol oscillator with third-power conductance characteristics as the unit oscillator a number of structures have been analysed using a matrix Krylov-Bogolioubov method linearisation. Thus mode analysis of one dimensional chains and two-dimensional arrays have been reported. In this paper, the method is extended to consider a tubular structure which is relevant to modelling small intestinal rhythms. It is shown that this structure is capable of producing stable single modes, nonresonant double modes and degenerate modes. General expressions are obtained for an mxn structure and examples given of two special conditions of 3x4 (i.e. odd numbers of oscillators in a ring) and 4x3 cases. The analytical results obtained for these two cases have been verified experimentally using an electronic implementation of coupled van der Pol oscillators
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