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Continuous-Time Systems

Name: Continuous-Time Systems
Brand: Springer-Verlag New York Inc.
SKU: 9781402062711
Price: 79941 HUF
Availability: InStock

Szerző: Yuriy Shmaliy

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 13-18 napon belül

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Continuous-Time Systems is a description of linear, nonlinear, time-invariant, and time-varying elec...

Információk a könyvről

Szerző

Yuriy Shmaliy

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2007

oldal

640

EAN

9781402062711

ISBN

1402062710

Enbook ID

01417358

Kiadó

Springer-Verlag New York Inc.

Súly

2420

Méretek

156 x 235 x 42

Teljes leírás

Continuous-Time Systems is a description of linear, nonlinear, time-invariant, and time-varying electronic continuous-time systems. As an assemblage of physical or mathematical components organized and interacting to convert an input signal (also called excitation signal or driving force) to an output signal (also called response signal), an electronic system can be described using different methods offered by the modern systems theory. To make possible for readers to understand systems, the book systematically covers major foundations of the systems theory. First, the quantitative and qualitative methods of systems description are presented along with the stability analysis. The representation of linear time-invariant systems in the time domain is provided using the convolution, ordinarily differential equations (ODEs), and state space. In the frequency domain, these systems are analyzed using the Fourier and Laplace transforms. The linear time-varying systems are represented using the general convolution, ODEs, and state space. The nonlinear time-invariant systems are described employing the Taylor and Volterra series expansions, ODEs, state space, and approximate methods such as averaging, equivalent linearization, and describing function. Finally, the representation of nonlinear time-varying systems is given using the Taylor and Volterra series, ODEs, modulation functions method, and state space modelling. Review of matrix theory and other useful generalizations are postponed to Appendices.