Sökning: "Lennart Schön"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden Lennart Schön.
1. Loop detection and extended target tracking using laser data
Sammanfattning : In the past two decades, robotics and autonomous vehicles have received ever increasing research attention. For an autonomous robot to function fully autonomously alongside humans, it must be able to solve the same tasks as humans do, and it must be able to sense the surrounding environment. LÄS MER
2. Growth and Business Cycles -Swedish Manufacturing Industry 1952-2001
Sammanfattning : This study shows that the mechanisms behind knowledge accumulation and the sources of productivity growth differ from industry to industry depending on what is produced and what technology is used. Although it is apparent to most researchers in the field that the only way to explain long-run growth in output per capita is through technological progress and accumulation of knowledge that counteract the dampening effect of diminishing returns, we are still in the dark about how such mechanisms operate. LÄS MER
3. The Incentive to Abate : The Swedish Pulp and Paper Industry and the 1969 Environment Protection Act
Sammanfattning : The Swedish Environment Protection Act (SEPA) was implemented in 1969 and constituted the first comprehensive Swedish regulation of industry-induced environmental externalities. In keeping with a longstanding corporatist tradition, Swedish policymakers aimed to establish a cooperative climate with industrial producers and instructed the regulatory authorities to strive to reach consensual agreements with affected firms. LÄS MER
4. Particle filters and Markov chains for learning of dynamical systems
Sammanfattning : Sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) methods provide computational tools for systematic inference and learning in complex dynamical systems, such as nonlinear and non-Gaussian state-space models. This thesis builds upon several methodological advances within these classes of Monte Carlo methods. LÄS MER
5. Rao-Blackwellised particle methods for inference and identification
Sammanfattning : We consider the two related problems of state inference in nonlinear dynamical systems and nonlinear system identification. More precisely, based on noisy observations from some (in general) nonlinear and/or non-Gaussian dynamical system, we seek to estimate the system state as well as possible unknown static parameters of the system. LÄS MER