The Workshop is organized on October 21-22, 2019
High Gain Observer Design: Towards an Engineering System Approach M. Farza, H. Hammouri and M. M'saad
Prof. Farza is from Ecole Nationale Supérieure d'Ingénieurs de Caen, France Prof. M. M'saad is from Ecole Nationale Supérieure d'Ingénieurs de Caen, France Prof. Hammouri is from LAGEP, University Claude Bernard Lyon 1, UMR CNRS 5007, France
The past decade has witnessed an increasing interest in high gain observer design to address the challenging problem of state reconstruction for uniformly as well as nonuniformly observable nonlinear systems. The main motivation of this workshop is to provide a com- prehensive overview on the available fundamental results with a particular emphasis on recent probing achievements from an engineering system point of view. The basic stability and observability concepts are first recalled together with mathematical preliminaries that have been commonly used in advanced designs. A particular attention is then paid to the Kalman filter in the perspectives of both state estimation and parameter adaptation. The high gain observer design is finally gradually developed in various frameworks depending on the considered class of system together with the crucial engineering features, namely the output measurement availability, the noise insensitivity, the transient behavior admis- sibility and the implementation feasibility. The high gain observer system engineering is illustrated in a realistic simulation framework involving the challenging practical problems that are commonly encountered in chemical processes and power systems.
Program: Monday October 21, 2019 (09:00-12:00 and 15:00-19:00)
- Linear systems
- Representation
- Observability and controllability
- Luenberger Observers and Kalman Filter
- Nonlinear systems
- Representation
- Observability concepts and Uniformly observable systems
- Observer structure
Program: Tuesday October 22, 2019 (09:00-12:00 and 15:00-19:00)
- High gain observer design
- State observers
- Adaptive observers
- Unknown input observers
- Advanced high gain observer design
- Observer design for delay systems
- Filtered and Saturated observer design
- Applications
- Reaction rate estimation in bioreactors
- Speed and load torque estimation in induction motors
