Parameter Estimation and Adaptive Control for Nonlinear Servo Systems 1st Edition

Grab the definitive resource on modern control theory with Parameter Estimation and Adaptive Control for Nonlinear Servo Systems, 1st Edition by Shubo Wang, Jing Na, and Xuemei Ren. This authoritative volume immediately speaks to engineers, researchers, and graduate students seeking rigorous yet practical guidance on parameter estimation and adaptive control strategies tailored for nonlinear servo systems.

Dive into clear explanations of identification methods, robust adaptive algorithms, and stability analysis that bridge theory and real-world implementation. The book balances mathematical depth with engineering intuition, covering recursive estimation techniques, model-reference adaptive control, and adaptive feedback design — all essential for applications in robotics, aerospace, automotive systems, and industrial automation.

Designed for both classroom use and professional reference, this edition presents worked examples, simulation insights, and implementation considerations that help translate complex concepts into effective control solutions. Readers will gain confidence in designing adaptive controllers that handle uncertainties, nonlinearities, and time-varying parameters across diverse environments.

Whether you’re developing precision motion systems, improving servo performance, or advancing research in nonlinear control, this book offers the tools to accelerate problem-solving and innovation. Its global relevance makes it a valuable asset for academic institutions and R&D teams across North America, Europe, and Asia.

Equip your library with a clear, practical, and scholarly guide to parameter estimation and adaptive control. Order your copy of Parameter Estimation and Adaptive Control for Nonlinear Servo Systems, 1st Edition today and advance your expertise in cutting-edge control engineering.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.