This book discusses various methods for designing different kinds of observers, such as the Luenberger observer, unknown input observers, discontinuous observers, sliding mode observers, observers for impulsive systems, observers for nonlinear Takagi-Sugeno fuzzy systems, and observers for electrical machines. A hydraulic process system and a renewable energy system are provided as examples of applications.
This book discusses various methods for designing different kinds of observers, such as the Luenberger observer, unknown input observers, discontinuous observers, sliding mode observers, observers for impulsive systems, observers for nonlinear Takagi-Sugeno fuzzy systems, and observers for electrical machines. A hydraulic process system and a renewable energy system are provided as examples of applications.
Shows an observer relies on a model, with on-line adaptation relaying on available measurements Includes an explicit dynamical system whose state gives an estimate of the actual state of the considered model Written by experts in the field
Omar Naifar
Observation Analysis State Reconstruction for Physical Nonlinear Systems Observers, Model-Based Controllers, and Separation Principle Fault Estimation Stochastic Observation Identification Via State Estimation Model Genetic Algorithms-based Observer Design