Title :
A globally convergent state estimation approach based on interval analysis
Author :
Valdes-Gonzalez, H. ; Flaus, J.-M.
Author_Institution :
Lab. d´Autom. de Grenoble, ENSIEG, St. Martin d´Hères, France
Abstract :
This work proposes a globally convergent state estimation method for non-linear discrete-time systems, based on interval techniques. This approach is based on a Moving Horizon State Estimation method and a global optimisation technique by interval arithmetic. This state estimation algorithm provides a solution with global convergence properties, even for non-linear model. The performances of the method are shown on a nonlinear generic biotechnological process.
Keywords :
convergence; discrete time systems; nonlinear systems; optimisation; state estimation; global convergence properties; global optimisation technique; globally convergent state estimation method; interval analysis; interval arithmetic; moving horizon state estimation method; nonlinear discrete-time systems; nonlinear generic biotechnological process; nonlinear model; Algorithm design and analysis; Biological system modeling; Convergence; Optimization; State estimation; Trajectory; Vectors; Interval analysis; biotechnological processes; global optimisation; non-linear models; state estimation;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
