Sökning: "sequential control"

Visar resultat 21 - 25 av 178 avhandlingar innehållade orden sequential control.

1. 21. Sequential Monte Carlo for inference in nonlinear state space models

   Författare :Johan Dahlin; Thomas Schön; Fredrik Lindsten; Adam M. Johansen; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Nonlinear state space models (SSMs) are a useful class of models to describe many different kinds of systems. Some examples of its applications are to model; the volatility in financial markets, the number of infected persons during an influenza epidemic and the annual number of major earthquakes around the world. LÄS MER

3. 22. Transient Control for Leader-follower Multi-agent Systems with Application to Spatiotemporal Logic Tasks

   Författare :Fei Chen; Dimos V. Dimarogonas; Jana Tumova; Ming Cao; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; multi-agent systems; leader-follower networks; transient constraints; temporal logics; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Over the past few decades, significant research has been directed towards addressing the problem of distributed control of multi-agent systems. The overall tasks include consensus, formation, flocking, and coverage control with the wide applications in multi-robot coordination, manufacturing and intelligent transportation systems. LÄS MER

4. 23. Computationally efficient exact remodeling of optimization programs with applications to autonomous driving

   Författare :Johan Karlsson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Autonomous driving; Real-time implementation; Model predictive control; Convex optimization;

   Sammanfattning : The future of autonomous vehicles is rapidly approaching and the published and available research, both from vehicle manufacturers and universities, is abundant. This new technology promises less pollution, lower accident rates, decreased congestion and the possibility to relax or work while a vehicle takes you where you need to go. LÄS MER

5. 24. Particle filters and Markov chains for learning of dynamical systems

   Författare :Fredrik Lindsten; Thomas B. Schön; Lennart Ljung; Fredrik Gustafsson; Arnaud Doucet; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Bayesian learning; System identification; Sequential Monte Carlo; Markov chain Monte Carlo; Particle MCMC; Particle filters; Particle smoothers;

   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

7. 25. Bayesian Inference for Nonlinear Dynamical Systems : Applications and Software Implementation

   Författare :Jerker Nordh; Institutionen för reglerteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Indoor Navigation; pyParticleEst; Software Implementation; Simultaneous Localization and Mapping; Parameter Estimation; System Identification; Sequential Importance Sampling; Particle Filter; Bayesian Inference; Markov Chain Monte Carlo; Particle Smoother;

   Sammanfattning : The topic of this thesis is estimation of nonlinear dynamical systems, focusing on the use of methods such as particle filtering and smoothing. There are three areas of contributions: software implementation, applications of nonlinear estimation and some theoretical extensions to existing algorithms. LÄS MER