Search for dissertations about: "simulation driven parameter estimation"

Showing result 1 - 5 of 9 swedish dissertations containing the words simulation driven parameter estimation.

2. 1. Case studies in omniparametric simulation

   Author : Fredrik Lundin; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; growth model; Ising model; Markov chain; omnithermal simulation; omniparametric simulationpercolatiion; Potts model; parameter estimation; partial observations; random cluster model; Richardson model; simulation driven parameter estimation; two-type Richardson model; omnithermal simulation;

   Abstract : In the eld of particle systems and growths models simulation is an important tool. When explicit calculations are too complex or impossible to perform we may use simulations instead. We adapt a new technique here denoted omniparametric simulation, to the two-type Richardson, Ising and Potts models. READ MORE

4. 2. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions

   Author : Mohamed Abdalmoaty; Håkan Hjalmarsson; Adrian Wills; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Prediction Error Method; Maximum Likelihood; Data-driven; Learning; Stochastic; Nonlinear; Dynamical Models; Non-stationary Linear Predictors; Intractable Likelihood; Latent Variable Models; Estimation; Process Disturbance; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging problem, even when reduced to a parameter estimation problem. A main difficulty is the intractability of the likelihood function, which renders favored estimation methods, such as the maximum likelihood method, analytically intractable. READ MORE

5. 3. Biomechanical Parameter Estimation for Wearable Exoskeleton System Design

   Author : Longbin Zhang; Elena Gutierrez Farewik; Ruoli Wang; Christian Smith; Max Ortiz Catalan; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hill-type muscle model; generalization; transfer learning; computationally modeling; human-machine system; Engineering Mechanics; Teknisk mekanik;

   Abstract : Exoskeletons are increasingly used in rehabilitation and daily life in persons with motor disorders after neurological injuries. The overall objective of this thesis is to study how to robustly and accurately predict joint torque using inputs from sensors that would technically be feasible to equip on an assistive exoskeleton, and to develop a framework that could be used to evaluate the user-exoskeleton interface. READ MORE

6. 4. Modeling the covariance matrix of financial asset returns

   Author : Gustav Alfelt; Joanna Tyrcha; Taras Bodnar; Vasyl Golosnoy; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Realized covariance; Autoregressive time-series; Goodness-of-fit test; Matrix singularity; Portfolio theory; Wishart distribution; Matrix-variate gamma distribution; Parameter estimation; High-dimensional data; Moore-Penrose inverse; matematisk statistik; Mathematical Statistics;

   Abstract : The covariance matrix of asset returns, which describes the fluctuation of asset prices, plays a crucial role in understanding and predicting financial markets and economic systems. In recent years, the concept of realized covariance measures has become a popular way to accurately estimate return covariance matrices using high-frequency data. READ MORE

7. 5. Learning-based Control for 4D Printing and Soft Robotics

   Author : Qinglei Ji; Lei Feng; Lihui Wang; Xi Vincent Wang; Yong Chen; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 3D Printing; 4D Printing; Soft Robots; Machine Learning; Reinforcement Learning; Control; Production Engineering; Industriell produktion;

   Abstract : Exploiting novel sensors and actuators made of flexible and smart materials becomes a new trend in robotics research. The studies on the design, production, and control of the new type of robots motivate the research fields of soft robots and 4D printed robots. READ MORE