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 110 for “"Order reduction"”.
-
Partial Order Reduction for Planning
Partial Order Reduction: POR) is a technique that reduces the search space by recognizing interchangeable orders between actions and expanding only a subset of all possible orders during the search. It has been extensively studied in model checking and has proven to be an enabling technique for …
-
Model Order Reduction in Structural Mechanics
… resümiert und kombiniert im Sinne der Model Order Reduction Package Toolbox (MORPACK). Die Matlab-basierte MORPACK-Toolbox ermöglicht den FEM-MKS-Kopplungsprozess für die Verwendung von ANSYS und SIMPACK. Hierin sind ein Großteil der zuvor erläuterten Erweiterungen eingeschlossen. Mit Hilfe …
-
Model order reduction for nonlinear systems
… presents some practical methods for doing model order reduction for a general type of nonlinear systems. Based on quadratic or even higher degree approximation and tensor reduction with assistance of Arnoldi type projection, we demonstrate a much better accuracy for the reduced nonlinear system …
-
Model Order Reduction Based on Semidefinite Programming
The main topic of this PhD thesis is complexity reduction of linear time-invariant models. The complexity in such systems is measured by the number of differential equations forming the dynamical system. This number is called the order of the system. Order reduction is typically used as a tool to …
-
Model Order Reduction: Application to Electromagnetic Problems
… time simulations. In this dissertation, model order reduction of numerical models from finite element discretization is analyzed to efficiently and accurately downsize the number of degrees of freedom in static and dynamic, linear and nonlinear electromagnetic applications. In particular, an …
-
Model order reduction of electro-thermal MEMS
… if full models were directly used. Hence, the reduction of the problem's size is the first milestone of efficient MEMS modeling and simulation. <br>This thesis presents the application of mathematical model order reduction (MOR) methods (preferably Arnoldi algorithm) to the automatic generation …
-
Model order reduction techniques for circuit simulation
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
-
Parameterized model order reduction for nonlinear dynamical systems
… techniques for generating Parameterized Reduced Order Models (PROMs) of nonlinear dynamical systems. Such reduced order models could serve as a first step towards the automatic and accurate characterization of geometrically complex components and subcircuits, eventually enabling their synthesis …
-
Order Reduction, Identification and Localization Studies of Dynamical Systems
… given with a bolted beam and a truss joint in order to show the applicability of the technique.
-
Model-Order Reduction Techniques for Circuits and Interconnects Simulation
… of this dissertation is to extend the use of order-reduction techniques as accurate methods for analyzing complex electronic systems. The theoretical and practical aspects of moment-matching, Krylov subspace-based methods, and rational approximations techniques are studied. The moment-matching …
-
A shifting method for dynamic system Model Order Reduction
Model Order Reduction (MOR) is becoming increasingly important in computational applications. At the same time, the need for more comprehensive models of systems is generating problems with increasing numbers of outputs and inputs. Classical methods, which were developed for Single-Input …
-
Detection, Estimation, and Order Reduction in Multiparameter Singularly Perturbed Systems
Made available in DSpace on 2014-12-12T20:54:59Z (GMT). No. of bitstreams: 1 8004123.pdf: 3467810 bytes, checksum: 6bf95a74293c04f6507c5d4b309b615d (MD5) Previous issue date: 1979
-
Type-C wind turbine model order reduction and parameter identification
… generator (WTG) can be described by a first-order nonlinear dynamical model that relates the WTG power output to wind speed. In this work the proposed model is validated through simulation and comparison to a published differential algebraic equation model as well as comparison to wind and …
-
Projection Methods for Order Reduction of Optimal Human Operator Models
… the most important characteristics of the full order model are developed so that the essential features of the operator dynamics are easier to determine. A new formulation of the Optimal Control Model (OCM) of the human operator is developed that allows order reduction techniques to be applied …
-
Efficient Stochastic Collocation Based Variability Analysis Using Model-Order Reduction Techniques
… the proposed method is based on the Model Order Reduction algorithms coupled with the Numerical Inverse Laplace Transform approach.
-
Efficient Projection-Based Stability Guaranteed Model Order Reduction for Active Circuits
Moments matching model reduction method is an important tool for accelerating simulation of large scale system originating in circuit area. But this kind of method cannot guarantee the stability of the reduced model in the case of active circuits. To address this problem, a novel moments matching …
-
Convergence and Boundedness of Probability-One Homotopies for Model Order Reduction
The optimal model reduction problem, whether formulated in the H² or H<sup>∞</sup> norm frameworks, is an inherently nonconvex problem and thus provides a nontrivial computational challenge. This study systematically examines the requirements of probability-one homotopy methods to guarantee global …
-
Incorporation of Hysteretic Effects in Model-Order Reduction Analysis of Magnetic Devices
… in conjunction with linearization and model-order reduction techniques to process magnetic devices based on geometry and core type. The validity of steady-state permeability approximations is also discussed.
-
Model order reduction in the frequency domain via spectral proper orthogonal decomposition
In this thesis, we introduce a novel model order reduction framework for harmonically and randomly forced dynamical systems. Specifically, we emphasize the usage of spectral proper orthogonal decomposition (SPOD), recently revived by Towne et. al. (2018), which results in sets of orthogonal modes, …
Page 1 of 6