Search for dissertations about: "time-varying systems"
Showing result 1 - 5 of 139 swedish dissertations containing the words time-varying systems.
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1. Model Reduction for Linear Time-Varying Systems
Abstract : The thesis treats model reduction for linear time-varying systems. Time-varying models appear in many fields, including power systems, chemical engineering, aeronautics, and computational science. They can also be used for approximation of time-invariant nonlinear models. Model reduction is a topic that deals with simplification of complex models. READ MORE
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2. Learning time-varying interaction networks
Abstract : Most biological systems consist of several subcomponents whichinteract with each other. These interactions govern the overall behaviourof the system; and in turn vary over time and in response to internaland external stress during the course of an experiment. READ MORE
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3. Dynamic Programming and Time-Varying Delay Systems
Abstract : This thesis is divided into two separate parts. The first part is about Dynamic Programming for non-trivial optimal control problems. The second part introduces some useful tools for analysis of stability and performance of systems with time-varying delays. READ MORE
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4. Linear Time-Varying Systems: Modeling and Reduction
Abstract : Linear time-invariant models are widely used in the control community. They often serve as approximations of nonlinear systems. For control purposes linear approximations are often good enough since feedback control systems are inherently robust to model errors. In this thesis some of the possibilities for linear time-varying modeling are studied. READ MORE
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5. On Parameter Estimation and Control of Time-Varying Stochastic Systems
Abstract : This thesis is about parameter estimation and control of time-varying stochastic systems. It can be divided into two parts. The first part deals with an estimation algorithm commonly used when estimating parameters in time-varying stochastic systems, the Recursive Least Squares (RLS) algorithm with forgetting factor. READ MORE