Search for dissertations about: "Linear Matrix Inequality"
Showing result 1 - 5 of 14 swedish dissertations containing the words Linear Matrix Inequality.
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1. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms
Abstract : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. READ MORE
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2. Stability Properties of Switched Dynamical Systems A Linear Matrix Inequality Approach
Abstract : The dynamical properties of many natural phenomena are traditionally described by smooth differential equation models. The use of automated control structures imposes new behaviors on the controlled system. Actions are often organized in a logical manner. Switched dynamical models are a natural extension to smooth differential equation models. READ MORE
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3. Solution of linear programming and non-linear regression problems using linear M-estimation methods
Abstract : This thesis is devoted to algorithms for solving two optimization problems, using linear M-estimation methods, and their implementation. First, an algorithm for the non-linear M-estimation problem is considered. READ MORE
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4. Distributed control of interconnected systems and its application in traffic control
Abstract : Over the past few decades, the need for mobility and road transportation has been significantly increased over the world. This turned as a dilemma in many metropolitan areas as traffic congestion costs energy and takes time of all individuals who live in big cities. READ MORE
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5. Constructive Methods for Inequality Constraints in Control
Abstract : In practical control problems there are always constraints on inputs and system variables. The constraints are often described by inequalities and there is a need for methods that take them into account. This thesis consists of three parts. READ MORE