Sökning: "input parameters"

Visar resultat 1 - 5 av 588 avhandlingar innehållade orden input parameters.

1. 1. Input Estimation in Structural Dynamics

   Författare :Lars Nordström; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sensitivity analysis; dynamic programming; input estimation; load identification; ill-posedness; regularization; indirect force measurement; inverse problems;

   Sammanfattning : Knowledge of time-varying excitation is of importance in the design of a wide range of engineering applications, from spacecraft and processing plants to electronic circuits. Regardless of the actual application or underlying physics, the expected input will play a key role in the determination of adequate system properties and parameters. LÄS MER

3. 2. Optimal input design for nonlinear dynamical systems : a graph-theory approach

   Författare :Patricio E. Valenzuela Pacheco; Cristian R. Rojas; Roland Hildebrand; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Input design; Markov chains; system identification; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Optimal input design concerns the design of an input sequence to maximize the information retrieved from an experiment. The design of the input sequence is performed by optimizing a cost function related to the intended model application. Several approaches to input design have been proposed, with results mainly on linear models. LÄS MER

4. 3. Estimation and optimal input design in sparse models

   Författare :Javad Parsa; Håkan Hjalmarsson; Kim Batselier; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System identification; Sparse estimation; Input design; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Sparse parameter estimation is an important aspect of system identification, as it allows for reducing the order of a model, and also some models in system identification inherently exhibit sparsity in their parameters. The accuracy of the estimated sparse model depends directly on the performance of the sparse estimation methods. LÄS MER

5. 4. Indirect System Identification for Unknown Input Problems : With Applications to Ships

   Författare :Jonas Linder; Martin Enqvist; Fredrik Gustafsson; Alexandre Sanfelice Bazanella; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System identification; Model structure; Unknown inputs; Indirect input measurements; Physical models; Instrumental variable; Closed loop; Graybox model; Identifiability; Ship; Marine vessel; Operational safety; Inertial measurement unit;

   Sammanfattning : System identification is used in engineering sciences to build mathematical models from data. A common issue in system identification problems is that the true inputs to the system are not fully known. In this thesis, existing approaches to unknown input problems are classified and some of their properties are analyzed. LÄS MER

7. 5. System identification with input uncertainties : an EM kernel-based approach

   Författare :Riccardo Sven Risuleo; Håkan Hjalmarsson; Alessandro Chiuso; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Many classical problems in system identification, such as the classical predictionerror method and regularized system identification, identification of Hammersteinand cascaded systems, blind system identification, as well as errors-in-variablesproblems and estimation with missing data, can be seen as particular instancesof the general problem of the identification of systems with limited information.In this thesis, we introduce a framework for the identification of linear dynamicalsystems subject to inputs that are not perfectly known. LÄS MER