Mastering System Identification in 100 Exercises (Paperback)

Systems identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Mastering System Identification in 100 Exercises takes readers step by step through a series of MATLAB exercises that teach how to measure and model linear dynamic systems in the presence of nonlinear distortions from a practical point of view. Each exercise is followed by a short discussion illustrating what lessons can be learned by the reader.

The book, with its learn-by-doing approach, also includes:

• State-of-the-art system identification methods, with both time and frequency domain system identification methods—including the pros and cons of each

• Simple writing style with numerous examples and figures

• Downloadable author-programmed MATLAB files for each exercise—with detailed solutions

• Larger projects that serve as potential assignments

Covering both classic and recent measurement and identifying methods, this book will appeal to practicing engineers, scientists, and researchers, as well as master's and PhD students in electrical, mechanical, civil, and chemical engineering.

系統辨識是一個通用術語，用於描述從測量數據中建立動態模型的數學工具和算法。《100個練習掌握系統辨識》一書通過一系列MATLAB練習，從實用角度教讀者如何在非線性失真存在的情況下測量和建模線性動態系統。每個練習後都有一個簡短的討論，說明讀者可以從中學到什麼。

這本書採用了學以致用的方法，還包括：
- 最新的系統辨識方法，包括時間域和頻率域的系統辨識方法，並介紹了每種方法的優缺點。
- 簡潔的寫作風格，並附有眾多示例和圖片。
- 每個練習都附有作者編寫的MATLAB文件，並提供詳細的解答。
- 更大型的項目，可作為潛在的作業。

本書涵蓋了經典和最新的測量和辨識方法，適合實踐工程師、科學家和研究人員，以及電氣、機械、土木和化學工程的碩士和博士研究生。