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Visar resultat 6 - 10 av 13 avhandlingar som matchar ovanstående sökkriterier.

  1. 6. Low-rank optimization in system identification

    Författare :Måns Klingspor; Anders Hansson; Johan Löfberg; Cristian R. Rojas; Linköpings universitet; []
    Nyckelord :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

  3. 7. Parameter Estimation : Towards Data-Driven and Privacy Preserving Approaches

    Författare :Braghadeesh Lakshminarayanan; Cristian R. Rojas; Simone Garatti; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parameter estimation; System identification;

    Sammanfattning : Parameter estimation is a pivotal task across various domains such as system identification, statistics, and machine learning. The literature presents numerous estimation procedures, many of which are backed by well-studied asymptotic properties. LÄS MER

  4. 8. Hidden Markov Models: Identification, Inverse Filtering and Applications

    Författare :Robert Mattila; Bo Wahlberg; Cristian R. Rojas; John Lygeros; Jan H. van Schuppen; Tobias Rydén; Ayca Özcelikkale; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden Markov models; HMM; inverse filtering; identification; estimation; method of moments; counter-adversarial autonomous systems; adversarial signal processing; belief estimation; abdominal aortic aneurysm; medical; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : A hidden Markov model (HMM) comprises a state with Markovian dynamics that is hidden in the sense that it can only be observed via a noisy sensor. This thesis considers three themes in relation to HMMs, namely, identification, inverse filtering and applications. LÄS MER

  5. 9. Learning Sequential Decision Rules in Control Design: Regret-Optimal and Risk-Coherent Methods

    Författare :Matias I. Müller; Cristian R. Rojas; Håkan Hjalmarsson; Tom Oomen; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Engineering sciences deal with the problem of optimal design in the face of uncertainty. In particular, control engineering is concerned about designing policies/laws/algorithms that sequentially take decisions given unreliable data. This thesis addresses two particular instances of optimal sequential decision making for two different problems. LÄS MER

  7. 10. Regret and Risk Optimal Design in Control

    Författare :Matias Müller; Cristian R. Rojas; Anders Rantzer; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Engineering sciences deal with the problem of optimal design in the face of uncertainty. In particular, control engineering is concerned about designing policies/laws/algorithms that sequentially take decisions given unreliable data.This thesis addresses two particular instances of optimal sequential decision making for two different problems. LÄS MER