http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xi, 221 pages) : illustrations
Front Cover; System Identification; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1. Introduction; Chapter 2. Classical Methods of System Identification; 2.1 Introduction; 2.2 Deconvolution Methods for Impulse Response Identification; 2.3 System Identification Using Correlation Techniques; 2.4 Identification of Time-Varying Linear Processes by Sinusoidal Response Measurement; 2.5 Learning Models; 2.6 Wiener Theory of Nonlinear Systems; 2.7 Conclusions; Chapter 3. Cost Functions for System Identification; 3.1 Introduction; 3.2 Maximum a Posteriori Identification
3.3 Maximum a Posteriori Identification with Unknown Prior Statistics3.4 Maximum Likelihood Identification; 3.5 Summary; Chapter 4. Gradient Techniques for System Identification; 4.1 Introduction; 4.2 The Gradient Technique for Single-Stage Identification Problems; 4.3 Gradient Methods for Multiple Stage and Continuous System Identification; 4.4 Summary; Chapter 5. System Identification Using Stochastic Approximation; 5.1 Introduction; 5.2 Stochastic Approximation for Stochastic Dynamic Systems; 5.3 Sequential Estimation of Linear System Dynamics Using Stochastic Approximation; 5.4 Summary
Chapter 6. Quasilinearization6.1 Introduction; 6.2 Continuous Systems; 6.3 Discrete Systems; 6.4 Difference and Differential Approximation; 6.5 Summary; Chapter 7. Invariant Imbedding and Sequential Identification; 7.1 Introduction; 7.2 Continuous Systems; 7.3 Discrete Systems; 7.4 Summary; Bibliography; Index
Includes bibliographical references (pages 210-217) and index.
Mathematics in science and engineering ; v. 80