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portada multivariable computer-controlled systems: a transfer function approach
Type
Physical Book
Author
Publisher
Year
2010
Language
English
Pages
478
Format
Paperback
Dimensions
23.4 x 15.6 x 2.5 cm
Weight
0.69 kg.
ISBN
1849966001
ISBN13
9781849966009
Categories

multivariable computer-controlled systems: a transfer function approach

Efim N. Rosenwasser (Author) · Bernhard P. Lampe (Author) · Springer · Paperback

multivariable computer-controlled systems: a transfer function approach - Rosenwasser, Efim N. ; Lampe, Bernhard P.

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Synopsis "multivariable computer-controlled systems: a transfer function approach"

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 and processes with periodically varying coefficients. Computer-controlled continuous-time processes are a very important subset of periodic sampled-data systems which are not treatable using ordinary transfer functions. Having established the ability of the parametric transfer function to solve this problem for single-input, single-output systems in previous work, the authors extend these 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. Multivariable Computer-controlled Systems is divided into three parts: Preliminary algebraic material describing the established fundamentals of polynomial and rational matrices necessary for the understanding of later chapters. Control problems, important in their own right but which also have a substantial bearing on what follows (eigenvalue assignment and the use of z- and zeta-transforms in discrete systems). Frequency methods for the investigation of MIMO sampled-data systems (parametric discrete-time models; stability; stochastic methods; H2 optimization and L2 design). Appendices covering basic mathematical formulae and the description of two MATLAB(R) toolboxes round out this self-contained guide to multivariable control systems. Of special interest to researchers in automatic control and to development engineers working with advanced control technology, Multivariable Computer-controlled Systems will also interest mathematical control theorists and graduate students studying advanced methods of computer-based control.

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