Provides a comprehensive overview of linearization techniques for nonlinear control systems.
Covers both classical and modern approaches, including feedback linearization, input-output linearization, and state-dependent Riccati equation methods.
Includes numerous examples and case studies to illustrate the application of these techniques.
Suitable for graduate students, researchers, and practicing engineers in the field of control systems.
* Helps readers to design and analyze nonlinear control systems with improved performance and robustness.