Sampled-data models for linear and nonlinear systems /
Juan I. Yuz, Graham C. Goodwin
- London : Springer-Verlag, [2014]
- xvii, 289 p. : ill. (some col.) ; 24 cm.
- Communications and Control Engineering, 0178-5354 .
- Communications and control engineering series .
Includes bibliographical references and index
Part I: Deterministic Systems -- Background on Sampling of Signals.-Sampled Data Models for Linear Deterministic Systems -- Incremental Sampled Data Models -- Asymptotic Sampling Zeros -- Generalized Hold Devices -- Robustness -- Approximate Models for Linear Deterministic Systems -- Approximate Models for Deterministic Nonlinear Systems -- Applications of Approximate Sampled-data Models in Estimation and Control -- Part II: Stochastic Systems -- Background on Sampling of Stochastic Signals -- Sampled-data Models for Linear Stochastic Systems -- Incremental Stochastic Sampled-data Models -- Asymptotic Sampling Zeros for Linear Stochastic Systems -- Generalized Sampling Filters -- Approximate Sampled-data Models for Linear Stochastic Systems -- Stochastic Nonlinear Systems -- Approximate Sampled-data Models for Nonlinear Stochastic Systems -- Applications of Approximate Stochastic Sampled-data Models -- Part III: Embellishments and Extensions -- The Euler-Frobenius Polynominals -- Models for Intersample Response -- Approximate Sampled-data Models for Fractional Order Systems
Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates being as high as they are, it is becoming more appropriate to emphasise connections and similarities
1447155610 9781447155614
Sampling (Statistics) Discrete-time systems Linear systems Differential equations, Linear Engineering