Guest editorial: Advances in nonlinear observation and identification for dynamic systems

摘要

Welcome to the Special Issue on Advances in Nonlinear Observation and Identification for Dynamic Systems. Nonlinear observation and identification methods (sliding mode and variable structure techniques, polynomial stochastic filtering, H_2/H_∞ approach, design of nonlinear observers for uncertain systems, and others) have attracted a particular interest in recent years due to rapid development of potential application areas, such as network-based communication, adaptive control, signal processing, and fault detection. Newly developed nonlinear algorithms bring in advanced mathematical tools for theoretical design and non-traditional engineering vision for practical implementation.