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.
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Showing 1 to 20 of 177 for “"Nonlinear Model"”.
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Nonlinear Model Predictive ControlFast Algorithms and Implementation
The problem of an efficient implementation of a Model Predictive Control (MPC) algorithm is addressed in this dissertation. The nominal problem formulation for the MPC control law involves the solution, for each sample time, to an optimization problem that is, in general, nonlinear and hard to be …
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On Modeling and Nonlinear Model Reduction in Automotive Systems
… and hand-tuning of control parameters. Model based control design is a promising approach to reduce costs and development time. In this process low complexity models are essential and model reduction methods are very useful tools. This thesis combines the areas of modeling and model …
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A high accuracy nonlinear model of the human cochlea
Reliably modeling the human auditory system is of fundamental importance to audio processing systems and hearing research. Generally, models intended for real-time audio processing are time-efficient but tend to lack grounding in physical reality, while models designed for hearing research may …
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Linear and Nonlinear Model Reduction for Large-scale Electronic Systems
L'abstract è presente nell'allegato / the abstract is in the attachment
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Formal analysis of state estimation for nonlinear model predictive control
… methods when implemented in the formulation of nonlinear model predictive control. The analysis is facilitated by two nonlinear optimal state estimation methods: augmented state EKF (ASEKF) and augmented state UKF (ASUKF) for comparison purposes. Each state estimation method is coupled to the …
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Real-time Nonlinear Model Predictive Control: Efficient Methods for Domain Reduction
L'abstract è presente nell'allegato / the abstract is in the attachment
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Development of a Multi-Body Nonlinear Model for a Seat-Occupant System
… seat-occupant system is greatly affected by soft nonlinear viscoelastic materials used in the seat cushion. Therefore, in this research, especial attention was given to efficiently modeling the behavior of seat cushion. In the first part of this research, a phenomenological nonlinear viscoelastic …
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Theoretical and practical aspects of linear and nonlinear model order reduction techniques
Model order reduction methods have proved to be an important technique for accelerating time-domain simulation in a variety of computer-aided design tools. In this study we present several new techniques for model reduction of the large-scale linear and nonlinear systems. First, we present a method …
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Nonlinear model reduction methods for rapid thermal and chemical vapor deposition processes
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1998.
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Analysis of pattern dynamics for a nonlinear model of the human cortex via bifurcation theories
… emergent behaviours, for the Waikato cortical model under the influence of the gap-junction inhibitory diffusion D₂ (identified as the Turing bifurcation parameter) and the time-to-peak for hyperpolarising GABA response γi (i.e., inhibitory rate-constant, identified as the Hopf bifurcation …
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Supervised learning-based explicit nonlinear model predictive control and unknown input estimation in biomedical systems
<p>Application of nonlinear control theory to biomedical systems involves tackling some unique and challenging problems. The mathematical models that describe biomedical systems are typically large and nonlinear. In addition, biological systems exhibit dynamics which are not reflected in the model …
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Rollover prevention and path following of a scaled autonomous vehicle using nonlinear model predictive control
… an Autonomous Scaled Ground Vehicle (ASGV) using Nonlinear Model Predictive Control (NMPC). Open Source Software (OSS) known as Automatic Control and Dynamic Optimisation (ACADO) is used to design and simulate the NMPC controller based on an eight Degree of Freedom (8 DOF) nonlinear vehicle model …
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Application of robust nonlinear model predictive control to simulating the control behaviour of a racing driver
… in this research aims to develop a mathematical model which can replicate the behaviour of a racing driver controlling a vehicle at its handling limit. Most of the models proposed in the literature assume a perfect driver. A formulation taking human limitations into account would serve as a …
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A function space approach to the generalized nonlinear model with applications to frequency domain spectral estimation
… estimation in generalized linear models. Chiu (1988) showed that an iterated, reweighted least squares procedure applied to the periodogram produces estimates of spectral density model parameters for Gaussian univariate time series which have the same asymptotic variance as those …
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Impact of Discretization Techniques on Nonlinear Model Reduction and Analysis of the Structure of the POD Basis
… Finite Elements are applied and their impact on model reduction techniques, namely Proper Orthogonal Decomposition (POD), Group POD and the Discrete Empirical Interpolation Method (DEIM), is studied. This study is facilitated by examination of several common ODE solvers. Embedded in this process, …
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Nonlinear model reduction for uncertainty quantification in large-scale inverse problems : application to nonlinear convection-diffusion-reaction equation
… interest are evaluated by solving one or several nonlinear partial differential equations (PDEs) that are parametrized in terms of a set of inputs. Even though well-established numerical techniques exist for solving these problems, their computational cost often precludes their use in cases where …
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Predictive modeling of the aerobic growth of <i>Staphylococcus aureus</i> 196E using a nonlinear model and response surface analysis
… aerobically at 12, 20 or 28°C. Mathematical models to predict the growth of <u>S. aureus</u> 196E were developed using a modified Gompertz function and response surface methodology. Each predictive equation required the estimation of only 23 parameters with a biological meaning. These models …
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Analytical and experimental investigation of a 1/5 scale rail vehicle simulator
… experimental investigation of a one-fifth scale model of a typical North American three-piece Freight truck running on a roller rig. The roller rig was built as part of this research For the Department of Mechanical Engineering at Virginia Polytechnic Institute and State University. Linear and …
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