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LQG as a Design Theory

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Mathematical System Theory

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Abstract

Control system design is the task of finding a controller which satisfies prescribed specifications, under a given set of constraints. Desirable controller parameters must satisfy a certain set of identities and inequalities that represent the plant dynamics, constraints and specifications. Hence, control system design amounts to solving a set of equations subject to inequality constraints that contain the controller parameters as unknowns. Since the given set of equations and inequalities is often very complicated and not precisely known, a solution should be found by a cut-and-try method guided by intuition and experience, which has been a major tool of practical control system design.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering for Computer-Controlled Machinery, Osaka University, 2-1, Yamada-oka, Suita, Osaka 565, Japan

    H. Kimura

Authors
  1. H. Kimura
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Rice University, 77251, Houston, Texas, USA

    Athanasios C. Antoulas

  2. Mathematical System Theory, E.T.H. Zürich, CH-8092, Zürich, Switzerland

    Athanasios C. Antoulas

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© 1991 Springer-Verlag Berlin Heidelberg

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Kimura, H. (1991). LQG as a Design Theory. In: Antoulas, A.C. (eds) Mathematical System Theory. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08546-2_8

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  • DOI: https://doi.org/10.1007/978-3-662-08546-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-08548-6

  • Online ISBN: 978-3-662-08546-2

  • eBook Packages: Springer Book Archive

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