A Generalized Framework Of Linear Multivariable Control
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A Generalized Framework of Linear Multivariable Control
Author: Liansheng Tan
language: en
Publisher: Butterworth-Heinemann
Release Date: 2017-02-04
A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix, while the usual linear multivariable control theory relies on some regular models. The book supports that in H-infinity control, the linear fractional transformation formulation is relying on the inverse of the block matrix. If the block matrix is not regular, the H-infinity control does not apply any more in the normal framework. Therefore, it is very important to relax those restrictions to generalize the classical notions and models to include some non-regular cases. This book is ideal for scholars, academics, professional engineer and students who are interested in control system theory. - Presents a comprehensive set of numerical procedures, algorithms, and examples on how to deal with irregular models - Provides a summary on generalized framework of linear multivariable control that focuses on generalizations of models and notions - Introduces a number of generalized models by using the generalized inverse of matrix
Trackability and Tracking of General Linear Systems
Trackability and Tracking of General Linear Systems deals with five classes of the systems, three of which are new, begins with the definition of time together with a brief description of its crucial properties and with the principles of the physical uniqueness and continuity of physical variables. They are essential for the natural tracking control synthesis. The book presents further new results on the new compact, simple and elegant calculus that enabled the generalization of the transfer function matrix concept and of the state concept, the completion of the trackability and tracking concepts together with the proofs of the trackability and tracking criteria, as well as the natural tracking control synthesis for all five classes of the systems. Features • Crucially broadens the state space concept and the complex domain fundamentals of the dynamical systems to the control systems. • Addresses the knowledge and ability necessary to study and design control systems that will satisfy the fundamental control goal. • Outlines new effective mathematical means for effective complete analysis and synthesis of the control systems. • Upgrades, completes and essentially generalizes the control theory beyond the existing boundaries. • Provides information necessary to create and teach advanced inherently upgraded control courses.
Linear Multivariable Control Systems
Author: Shankar P. Bhattacharyya
language: en
Publisher: Cambridge University Press
Release Date: 2022-01-13
A graduate text providing broad coverage of linear multivariable control systems, including several new results and recent approaches.