Author | Mackenroth, Uwe. author |
---|---|

Title | Robust Control Systems [electronic resource] : Theory and Case Studies / by Uwe Mackenroth |

Imprint | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004 |

Connect to | http://dx.doi.org/10.1007/978-3-662-09775-5 |

Descript | XVI, 520 p. online resource |

SUMMARY

"Robust Control Systems" gives a self-contained introduction to modern Control Theory. It thus adds a textbook to the existing research-oriented literature on Robust Control. The author lays emphasis on the modern aspects of the design of controllers with prescribed performance and robustness properties. Different to the classical engineering approach, a rigorous mathematical treatment is essential for the full understanding and applicability of the modern methods such as H2 or H8 control or methods based on the structured singular value ยต. Nevertheless, no prior knowledge of Control Theory is required as the classical fundamentals are introduced within the first few chapters. Subsequently a large part of the text provides elementary examples and industrial case studies, which are developed in full detail to show how modern methods can be applied to advanced problems. They make intensive use of MATLAB, especially the Control Systems Toolbox and the ยต-Analysis and Synthesis Toolbox

CONTENT

1 Introduction -- 2 Rational Transfer Functions -- 3 SISO Feedback Systems -- 4 Classical Design Methods -- 5 Linear Dynamical Systems -- 6 Basic Properties of Multivariable Feedback Systems -- 7 Norms of Systems and Performance -- 8 H2 Optimal Control -- 9 H? Optimal Control: Riccati-Approach -- 10 H? Optimal Control: LMI-Approach and Applications -- 11 Case Studies for H2 and H? Optimal Control . -- 12 Representation of Uncertainty -- 13 Synthesis of Robust Controllers -- 14 Case Studies for Robust Control -- A Mathematical Background -- Notation and Symbols

Mathematics
System theory
Computer mathematics
Mathematical models
Control engineering
Robotics
Mechatronics
Mathematics
Mathematical Modeling and Industrial Mathematics
Computational Mathematics and Numerical Analysis
Control
Control Robotics Mechatronics
Systems Theory Control