Multivariable Control For Industrial Applications


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Multivariable Control for Industrial Applications


Multivariable Control for Industrial Applications

Author: John O'Reilly

language: en

Publisher: IET

Release Date: 1987


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Very Good,No Highlights or Markup,all pages are intact.

Multivariable Control Systems


Multivariable Control Systems

Author: P. Albertos Pérez

language: en

Publisher: Springer Science & Business Media

Release Date: 2004


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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.

Multivariate Statistical Process Control with Industrial Applications


Multivariate Statistical Process Control with Industrial Applications

Author: Robert L. Mason

language: en

Publisher: SIAM

Release Date: 2002-01-01


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Detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.