Interval constraint propagation with application to bounded-error estimation

: For a large class of bounded-error estimation problems, the posterior feasible set 5 for the parameters can be dened by nonlinear inequalities. The set-inversion approach combines classical interval analysis with branch-and-bound algorithms to characterize 5. Unfortunately, as bisections have to be done in all directions of the parameter space, this approach is limited to problems involving a small number of parameters. Techniques based on interval constraint propagation make it possible to drastically reduce the number of bisections. In this paper, these techniques are combined with set inversion to bracket 5 between inner and outer subpavings (union of nonoverlapping boxes). When only interested in the feasible intervals for the parameters, the set inversion approach becomes ine

• Type: Journal
• Year: 2000
• Where: AUTOMATICA
• Authors: Luc Jaulin
• Keywords: AUTOMATICA 2000, Bounded-error Estimation Problems, Parameters, Posterior Feasible Set