|
|
|
|
LEADER |
03860nmm a2200373 u 4500 |
001 |
EB000367162 |
003 |
EBX01000000000000000220214 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
130626 ||| eng |
020 |
|
|
|a 9781846284328
|
100 |
1 |
|
|a Rosenwasser, Efim N.
|
245 |
0 |
0 |
|a Multivariable Computer-controlled Systems
|h Elektronische Ressource
|b A Transfer Function Approach
|c by Efim N. Rosenwasser, Bernhard P. Lampe
|
250 |
|
|
|a 1st ed. 2006
|
260 |
|
|
|a London
|b Springer London
|c 2006, 2006
|
300 |
|
|
|a XVIII, 478 p
|b online resource
|
505 |
0 |
|
|a Algebraic Preliminaries -- Polynomial Matrices -- Fractional Rational Matrices -- Normal Rational Matrices -- General MIMO Control Problems -- Assignment of Eigenvalues and Eigenstructures by Polynomial Methods -- Fundamentals for Control of Causal Discrete-time LTI Processes -- Frequency Methods for MIMO SD Systems -- Parametric Discrete-time Models of Continuous-time Multivariable Processes -- Mathematical Description, Stability and Stabilisation of the Standard Sampled-data System in Continuous Time -- Analysis and Synthesis of SD Systems Under Stochastic Excitation -- H2 Optimisation of a Single-loop Multivariable SD System -- -Design of SD Systems for 0 < t < ?
|
653 |
|
|
|a Control, Robotics, Automation
|
653 |
|
|
|a Electrical and Electronic Engineering
|
653 |
|
|
|a Electrical engineering
|
653 |
|
|
|a Control theory
|
653 |
|
|
|a Systems Theory, Control
|
653 |
|
|
|a System theory
|
653 |
|
|
|a Control engineering
|
653 |
|
|
|a Robotics
|
653 |
|
|
|a Automation
|
700 |
1 |
|
|a Lampe, Bernhard P.
|e [author]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Communications and Control Engineering
|
028 |
5 |
0 |
|a 10.1007/1-84628-432-5
|
856 |
4 |
0 |
|u https://doi.org/10.1007/1-84628-432-5?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 629.8
|
520 |
|
|
|a 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 mathematicalcontrol theorists and graduate students studying advanced methods of computer-based control
|