Péter Gáspár, Zoltán Szabó, József Bokor

Discrete Feedback Systems 2.

Modern Control

State-Space Analysis

In control engineering, a state-space representation is a mathematical model of a physical system as a set of input, output and state variables related by first-order differential (or difference) equations. For finite-dimensional LTI systems these equations can be written in matrix form. The state-space (time-domain) representation provides a convenient and compact way to model and analyze systems. Unlike the frequency domain approach, the use of the state-space representation is not limited to systems with linear components and zero initial conditions. In this chapter we list the main properties related to the time-domain analysis of DT LTI systems. The reader might recall the corresponding properties for CT LTI systems, which are listed in the Appendix for convenience.

Tartalomjegyzék

Kiadó: Akadémiai Kiadó

Online megjelenés éve: 2019

ISBN: 978 963 454 373 2

Műszaki tudományok BME KJK könyvek

The classical control theory and methods that we have been presented in the first volume are based on a simple input-output description of the plant, expressed as a transfer function, limiting the design to single-input single-output systems and allowing only limited control of the closed-loop behaviour when feedback control is used. Typically, the need to use modern linear control arises when working with models which are complex, multiple input multiple output, or when optimization of performance is a concern. Modern control theory revolves around the so-called state-space description. The state variable representation of dynamic systems is the basis of different and very direct approaches applicable to the analysis and design of a wide range of practical control problems. To complete the design workflow, finally some introduction into system identification theory is given.

Hivatkozás: https://mersz.hu/gaspar-szabo-bokor-discrete-feedback-systems-2//

BibTeX EndNote Mendeley Zotero