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Multivariable Computer-controlled Systems

✍ Scribed by Rosenwasser E.


Publisher
Springer
Year
2006
Tongue
English
Leaves
483
Category
Library

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πŸ“œ SIMILAR VOLUMES


Multivariable Computer-Controlled System
✍ Efim N. Rosenwasser, Bernhard P. Lampe πŸ“‚ Library πŸ“… 2006 🌐 English

In this book, the authors extend the parametric transfer function methods, which incorporate time-dependence, to the idea of the parametric transfer matrix in a complete exposition of analysis and design methods for multiple-input, multiple-output (MIMO) sampled-data systems. Appendices covering bas

Multivariable Computer-controlled System
✍ Efim N. Rosenwasser Dr. rer. nat. Dr. Eng., Bernhard P. Lampe Dr. rer. nat. Dr. πŸ“‚ Library πŸ“… 2006 πŸ› Springer-Verlag London 🌐 English

<p><P>The transfer function approach is widely used in classical control theory for its easy handling and physical meaning. Although the use of transfer functions is well-established for linear time-invariant systems, it is not suitable for non-stationary systems among which are sampled-data systems

Multivariable control systems
✍ Pedro Albertos, Antonio Sala πŸ“‚ Library πŸ“… 2003 πŸ› Springer 🌐 English

Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design wit

Algorithms for Computer-aided Design of
✍ S. Bingulac πŸ“‚ Library πŸ“… 1993 🌐 English

This reference/text discusses the structure and concepts of multivariable control systems, offering a balanced presentation of theory, algorithm development, and methods of implementation.;The book contains a powerful software package - L.A.S (Linear Algebra and Systems) which provides a tool for ve

Multivariable control systems : an engin
✍ P Albertos Pérez; Antonio Sala, Doctor πŸ“‚ Library πŸ“… 2004 πŸ› Springer 🌐 English

Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design wit