A Generalized Framework of Linear Multivariable Control
Nonfiction, Science & Nature, Mathematics, Algebra, Technology, Engineering, Mechanical
| Author: | Liansheng Tan | ISBN: | 9780081019474 |
| Publisher: | Elsevier Science | Publication: | February 4, 2017 |
| Imprint: | Butterworth-Heinemann | Language: | English |
| Author: | Liansheng Tan |
| ISBN: | 9780081019474 |
| Publisher: | Elsevier Science |
| Publication: | February 4, 2017 |
| Imprint: | Butterworth-Heinemann |
| Language: | English |
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
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
