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 20 of 285 for “"Linear System"”.
-
Linear system identification technique by time series analysis
… AT AUTHOR'S REQUEST.] Identification of linear dynamical systems using the finite difference time-domain (FDTD) method is inaccurate and problematic. This thesis investigates the use of time series analysis techniques for estimating parameters of a continuous-time (CT) model of linear …
-
Effects of Data Heterogeneity on Distributed Linear System Solvers
We focus on the fundamental problem of solving a system of linear equations. In particular, we are interested in distributed linear system solvers, where one taskmaster coordinates any number of workers to attain a solution. There are two predominant and fundamentally different ways of doing this: …
-
Implementation of gaussian process models for non-linear system identification
… Process (GP) models for the identification of nonlinear dynamic systems. The Gaussian Process model is a non-parametric approach to system identification where the model of the underlying system is to be identified through the application of Bayesian analysis to empirical data. The GP modelling …
-
Adaptive control of a linear system with quantized state observations
… thesis addresses a problem in networked control systems where quantization is a communication constraint. Control design together with parameter estimation algorithms lead to adaptive control techniques. A first order system with unknown parameters is estimated via projection algorithm …
-
Dynamic non-linear system modelling using wavelet-based soft computing techniques
The enormous number of complex systems results in the necessity of high-level and cost-efficient modelling structures for the operators and system designers. Model-based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Soft computing based models in …
-
Methods For Increasing Domains Of Convergence In Iterative Linear System Solvers
… the domains of convergence for iterative linear system solvers. We rely on the following three approaches: making the iteration adaptive, or nesting an inner iteration inside of a previously determined outer iteration; using deflation and projections to manipulate the spectra inherent to …
-
A linear system framework for analyzing the automotive appearance design process
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.
-
Intelligent monitoring of a complex, non-linear system using artificial neural networks
… produce a design for a computer based advisory system for the operator of a critical, complex, non-linear system, typified by a nuclear reactor. When such systems are in fault the operator has to promptly assess the problem and commence remedial action. Additional accurate and rapid information …
-
Minimizing residual vibration of a linear system using appropriately shaped forcing functions
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1984.
-
Receding-horizon switched linear system design: a semidefinite programming approach with distributed computation
… and controller synthesis problems for switched linear systems. These are multi-modal systems whose parameters vary within a finite set according to the state of a discrete time automaton; the switching signal may be unconstrained or may be drawn from a language of admissible switching signals. …
-
Investigation of a multi-layer perceptron network to model and control a non-linear system.
… incorporating a neural network model of a non-linear process. The scheme is based on a Multi-Layer Perceptron neural net-work as a modelling tool for a real non-linear, dual tank, liquid level process. A neural network process model is developed and evaluated firstly in simulation studies and …
-
Linear System Analyses of the Role of Reflex Gain and Delay in a Dynamic Human Spine Model
… spine. The presence of delay in the reflexive system limits the availability of traditional stability analyses. However it is possible to investigate how reflex delay affects stability of the spine model using methods in linear time delayed stability. Such analyses find the maximum reflex …
-
Sensitivity and Bias Based Receding Horizon Multi Step Optimization (RHMSO) Controller for Real Time Voltage Control
… optimization (RHMSO) controller which utilizes a linearized system model is developed. This linear system model is derived from the non-linear steady state power flow equations based on sensitivity analysis. A comparison is made with single step optimization based on Model Predictive Control (MPC) …
-
Rational modeling and linear prediction of random fields
… a random field as the output of a rational linear system driven by the innovations of the field. A variety of linear prediction problems, each depending upon the definition of past, may be formulated for random fields; consequently, there are an equal number of innovations representation …
-
Developments in the Extended Finite Element Method and Algebraic Multigrid for Solid Mechanics Problems Involving Discontinuities
… is presented. For accelerated solution of linear systems arising from problems involving cracks, several new methods involving the algebraic multigrid are presented. In the first approach, the Schur complement of the linear system arising from XFEM is used to develop a Hybrid-AMG method …
-
Volterra Systems with Realizable Kernels
… a rational function, construct the corresponding linear system, and then approximate the Volterra integro-differential equation. We show that our method is convergent for the case where the kernel is nuclear. We focus our attention on time-invariant realizations but the case where the state …
-
Switched Markov Jump Linear Systems: Analysis and Control Synthesis
Markov jump linear systems find application in many areas including economics, fault-tolerant control, and networked control. Despite significant attention paid to Markov jump linear systems in the literature, few authors have investigated Markov jump linear systems with time-inhomogeneous Markov …
Page 1 of 15