Search for dissertations about: "inverse optimal robust control"
Showing result 1 - 5 of 6 swedish dissertations containing the words inverse optimal robust control.
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1. Network Synchronization and Control Based on Inverse Optimality : A Study of Inverter-Based Power Generation
Abstract : This thesis dwells upon the synthesis of system-theoretical tools to understand and control the behavior of nonlinear networked systems. This work is at the crossroads of three topics: synchronization in coupled high-order oscillators, inverse optimal control and the application of inverter-based power systems. READ MORE
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2. On modeling and control of complex dynamic systems
Abstract : Nonlinear complex multi-input multi-output process is very troublesome to control. It is usually also ill-modeled. The problem of such process both in control and modeling requires a comprehensive utilization of various techniques. The thesis presents the methods for the modeling and control of complex systems. READ MORE
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3. Graph-structured multi-marginal optimal transport : Theory, applications, and efficient methods using entropy regularization
Abstract : This thesis deals with a class of multi-marginal optimal transport problems, which we call graph-structured multi-marginal optimal transport. The aim of the thesis is to work towards a unified framework for this class of problems. The included papers explore theoretical, computational, and practical aspects of the novel framework, e.g. READ MORE
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4. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning
Abstract : This thesis, which mainly consists of six appended papers, primarily considers a number of inverse problems in imaging and system identification.In particular, the first two papers generalize results for the rational covariance extension problem from one to higher dimensions. READ MORE
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5. Implementation, identification, and adaptation of Preisach like hysteresis models
Abstract : The extended generalized Prandtl-Ishlinskii model (XGPI) of hysteresis has a wide applicability, partly because of its capability of modelling highly asymmetric hystereses. For a given parameterization, it is typically identified using non-linear least squares optimization with concomitant problems of convergence, dependence on initial parameter guess and local minima. READ MORE