Linear systems: Optimal and robust control

    Research output: Book/ReportBook

    88 Citations (Scopus)

    Abstract

    Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then examines optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian (LQG) control. The book subsequently presents robust control techniques and derives H control theory from the first principle, followed by a discussion of the sliding mode control of a linear system. In addition, it shows how a blend of sliding mode control and H methods can enhance the robustness of a linear system. By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Control, students will be able to better understand and ultimately better manage engineering processes and systems.

    Original languageEnglish (US)
    PublisherCRC Press
    Number of pages472
    ISBN (Electronic)9781420008883
    ISBN (Print)9780849392177
    StatePublished - Jan 1 2007

    Fingerprint

    Robust control
    Linear systems
    Sliding mode control
    Observability
    Controllability
    State feedback
    Control theory
    Feedback control
    Students

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

    Cite this

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    title = "Linear systems: Optimal and robust control",
    abstract = "Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then examines optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian (LQG) control. The book subsequently presents robust control techniques and derives H ∞ control theory from the first principle, followed by a discussion of the sliding mode control of a linear system. In addition, it shows how a blend of sliding mode control and H ∞ methods can enhance the robustness of a linear system. By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Control, students will be able to better understand and ultimately better manage engineering processes and systems.",
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    Linear systems : Optimal and robust control. / Sinha, Alok.

    CRC Press, 2007. 472 p.

    Research output: Book/ReportBook

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