Written for students and researchers in engineering, computer science, physics, and applied mathematics, Classification, Parameter Estimation and State Estimation: An Engineering Approach using MATLAB presents the theory and practical application of pattern classification, parameter estimation, and state estimation techniques while focusing on the engineering aspects of the topics.
MATLAB, the Control System Toolbox, the Signal Processing Toolbox, the Optimization Toolbox, the Statistics and Machine Learning Toolbox, and the System Identification Toolbox are used to solve example problems throughout the book. In addition, the authors have developed a supplemental set of MATLAB code files to accompany the text. (The Neural Networks Toolbox is required.)
Teaching materials based on MATLAB and Simulink