Buch, Englisch, 342 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1120 g
An Engineering Approach
Buch, Englisch, 342 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1120 g
Reihe: Advanced Textbooks in Control and Signal Processing
ISBN: 978-1-85233-738-4
Verlag: Springer
Multivariable Control Systems focuses on control design with continual references to the practical aspects of implementation. While the concepts of multivariable control are justified, the book emphasises the need to maintain student interest and motivation over exhaustive mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation.
Features:
• design implementation laid out using extensive reference to MATLAB®;
• combined consideration of systems (plant) and signals (mainly disturbances);
• step-by-step approach from the objectives of multivariable control to the solution of complete design problems.
Multivariable Control Systems is an ideal text for graduate students or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Mathematik | Informatik Mathematik Mathematische Analysis Variationsrechnung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
Weitere Infos & Material
to Multivariable Control.- Linear System Representation: Models and Equivalence.- Linear Systems Analysis.- Solutions to the Control Problem.- Decentralised and Decoupled Control.- Fundamentals of Centralised Closed-loop Control.- Optimisation-based Control.- Designing for Robustness.- Implementation and Other Issues.