Sökning: "Cristian R. Rojas"

Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Cristian R. Rojas.

  1. 1. Module identification in dynamic networks: parametric and empirical Bayes methods

    Författare :Niklas Everitt; Håkan Hjalmarsson; Cristian R. Rojas; Paul Van den Hof; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : The purpose of system identification is to construct mathematical models of dynamical system from experimental data. With the current trend of dynamical systems encountered in engineering growing ever more complex, an important task is to efficiently build models of these systems. LÄS MER

  2. 2. Robust learning and control of linear dynamical systems

    Författare :Mina Ferizbegovic; Håkan Hjalmarsson; Thomas B. Schön; Cristian R. Rojas; Florian Dörfler; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : We consider the linear quadratic regulation problem when the plant is an unknown linear dynamical system. We present robust model-based methods based on convex optimization, which minimize the worst-case cost with respect to uncertainty around model estimates. LÄS MER

  3. 3. Consistency and efficiency in continuous-time system identification

    Författare :Rodrigo A. González; Cristian R. Rojas; Bo Wahlberg; Hugues Garnier; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System identification; Continuous-time systems; Consistency; Asymptotic efficiency; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Continuous-time system identification deals with the problem of building continuous-time models of dynamical systems from sampled input and output data. In this field, there are two main approaches: indirect and direct. In the indirect approach, a suitable discrete-time model is first determined, and then it is transformed into continuous-time. LÄS MER

  4. 4. Continuous-time System Identification : Refined Instrumental Variables and Sampling Assumptions

    Författare :Rodrigo A. González; Cristian R. Rojas; Marion Gilson-Bagrel; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System identification; Continuous-time systems; Refined instrumental variables; band-limited signals; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Continuous-time system identification deals with the problem of building continuous-time models of dynamical systems from sampled input and output data. There are two main approaches in this field: indirect and direct. In the indirect approach, a suitable discrete-time model is first determined, and then it is transformed into continuous-time. LÄS MER

  5. 5. Low-rank optimization in system identification

    Författare :Måns Klingspor; Anders Hansson; Johan Löfberg; Cristian R. Rojas; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : In this thesis, the use of low-rank approximations in connection with problems in system identification is explored. Firstly, the motivation of using low-rank approximations in system identification is presented and the framework for low-rank optimization is derived. LÄS MER