Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 12 of 12 for “"nonlinear modelling"”.
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A local model network approach to nonlinear modelling
… practical learning systems able to model unknown nonlinear dynamic processes from their observed input-output behaviour. Local Model Networks use a number of simple, locally accurate models to represent a globally complex process, and provide a powerful,flexible framework for the integration of …
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Linear and Nonlinear Modelling of Gas Turbine Engines
… by the desire to exploit recent advances in modelling linear and nonlinear systems and the need to investigate the suitability of various model representations in nonlinear gas turbine modelling.<br/><br/>The first part of the thesis deals with linear gas turbine modelling, with the aim of …
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Nonlinear Modelling and Stability Analysis of a Subcolled Boiling, Natural Circulation Loop
Made available in DSpace on 2017-07-06T18:48:46Z (GMT). No. of bitstreams: 3 Jackson_Christopher_J_MS.pdf: 53891675 bytes, checksum: ed29c2c1100bf759abee63301232e85b (MD5) Jackson_Christopher_J_MS_ABS.pdf: 537366 bytes, checksum: 5ffecb8f9cceaf5d84559fa5c17095fc (MD5) license.txt: 4813 bytes, …
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Use of machine learning in radio frequency integrated circuits (RFIC) development
… IC models, fail to fully capture the nonlinear, frequency-dependent RF parasitic effects. To overcome this problem, in this thesis we propose the use of machine learning in RFIC development. Machine learning uses statistical models to recognize hidden patterns from sample data points, …
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Performance Assessment of Shear-critical Reinforced Concrete Plane Frames
… Such an analysis can be performed using nonlinear analysis procedures which typically require specialized software. This type of software is limited in number and most available programs do not adequately capture shear-related influences, potentially severely overestimating strength and …
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Computational stress analysis using finite volume methods
… for complex analysis like geometrically nonlinear modelling and plate analysis. For both geometrically nonlinear and plate analysis a series of simulation results are presented and are compared with conventional finite element results. Further research has been carried out to solve stress …
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RF- Front-End Non-Linear coupling cancellation = Cancelación de acoplo no lineal en frontales de RF
… distortion discards simple linear models, nonlinear modelling based on polynomials, limited to third order, is implemented. The coupling model proposed in this thesis is consistent with the analog electronic elements and follows the nonlinear behaviour experienced in many RF front end …
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Identification of linear and nonlinear systems using multisine signals with a gas turbine application
… the design of test signals for both linear and nonlinear modelling and their application to an engineering problem. It is motivated by a desire to fully exploit the recent advances in computer technology, which make the design and application of complex multisine test signals a practical …
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Three dimensional geometrical and material nonlinear finite element analysis of adhesively bonded joints for marine structures
… to behave as elasto-plastic continuum, where the nonlinear behaviour is modelled as either a rigid or a semi-rigid adhesive solid that can be represented by the Ramberg-Osgood material model. The yield behaviour of the polymeric adhesive is modelled using a modified von Mises criterion, which …
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Modulation of Murine Intestinal Gene Expression by Dietary Fat: Spatial Variation and Saturation Effect
… However, many biological processes occur in a nonlinear fashion. The objective of this PhD thesis is to study the response types of dietary fat mediated differentially expressed genes (i.e., linear response; nonlinear response: logarithmic, exponential, quadratic and cubic) along the …
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Methods of system identification, parameter estimation and optimisation applied to problems of modelling and control in engineering and physiology
… models usually involve combinations of linear or nonlinear ordinary differential equations or difference equations, partial differential equations and algebraic equations. In some cases models may be based on differential algebraic equations. Dynamic models are also important in many other fields …
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Neural networks in control engineering
… at exploiting the attractive learning and nonlinear optimization characteristics of neural networks have been made in most fields of science and engineering, including process control. The control structures suggested in the literature for the inclusion of neural networks in control …