Springer - Errors-in-Variables Methods in System Identification

Gain a deep understanding of system identification through this technical resource from Springer. This book provides a comprehensive overview of different errors-in-variables (EIV) methods, which are essential when your goal is to determine the physical laws that describe a specific process. Unlike methods focused solely on prediction or controlling future behavior, EIV approaches are designed for those seeking true physical insight into a process. Readers will examine the core properties of EIV problems and address the complex challenge of model parameter identifiability. Because identifying parameters in EIV scenarios is a non-trivial task, this text explores the sufficient conditions required for successful identifiability. This book serves as a specialized guide for researchers and engineers working within communications and control engineering who require mathematical accuracy to model physical systems effectively.