Titre :	Multivariable Computer-controlled Systems : a transfer function approach
Type de document :	texte imprimé
Auteurs :	Efim N. Rosenwasser, Auteur ; Bernhard P. Lampe, Auteur
Editeur :	Berlin; Heidelberg; New York : Springer-Verlag
Année de publication :	2006
Collection :	Communications and Control Engineering
Importance :	478 p.
Présentation :	couv. ill. en coul., ill.
Format :	24 cm.
ISBN/ISSN/EAN :	978-1-84628-431-1
Langues :	Anglais (eng)
Catégories :	AUTOMATISME
Index. décimale :	25-07 Théorie de la commande: commandes des processus
Résumé :	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® 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.
Note de contenu :	Table of contents Part I Algebraic Preliminaries. 1- Polynomial Matrices. 2- Fractional Rational Matrices. 3- Normal Rational Matrices. Part II General MIMO Control Problems. - Assignment of Eigenvalues and Eigenstructures by Polynomial Methods. - Fundamentals for Control of Causal Discrete-time LTI Processes. Part III Frequency Methods for MIMO SD Systems. - Parametric Discrete-time Models of Continuous-time Multivariable Processes. - Description and Stabilisaty of SD Systems - Analysis and Synthesis of SD Systems Under Stochastic Excitation. - H2 Optimisation of a Single-loop System - Design of SD Systems 0 < t < ?. -Appendices -Index

Multivariable Computer-controlled Systems : a transfer function approach [texte imprimé] / Efim N. Rosenwasser, Auteur ; Bernhard P. Lampe, Auteur . - Berlin; Heidelberg; New York : Springer-Verlag, 2006 . - 478 p. : couv. ill. en coul., ill. ; 24 cm.. - (Communications and Control Engineering) .
ISBN : 978-1-84628-431-1
Langues : Anglais (eng)

Catégories :	AUTOMATISME
Index. décimale :	25-07 Théorie de la commande: commandes des processus
Résumé :	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® 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.
Note de contenu :	Table of contents Part I Algebraic Preliminaries. 1- Polynomial Matrices. 2- Fractional Rational Matrices. 3- Normal Rational Matrices. Part II General MIMO Control Problems. - Assignment of Eigenvalues and Eigenstructures by Polynomial Methods. - Fundamentals for Control of Causal Discrete-time LTI Processes. Part III Frequency Methods for MIMO SD Systems. - Parametric Discrete-time Models of Continuous-time Multivariable Processes. - Description and Stabilisaty of SD Systems - Analysis and Synthesis of SD Systems Under Stochastic Excitation. - H2 Optimisation of a Single-loop System - Design of SD Systems 0 < t < ?. -Appendices -Index