Titlebook: Bounding Approaches to System Identification; Mario Milanese,John Norton,éric Walter Book 1996 Springer Science+Business Media New York 19

SUE

Obsessed

多節(jié)

Optimal Estimation Theory for Dynamic Systems with Set Membership Uncertainty: An Overview,ise which is known only to have given integral (typically .. or ..) or componentwise (..) bounds. In this chapter the main results of this theory are reviewed, with special attention to the most recent advances obtained in the case of componentwise bounds.

罵人有污點(diǎn)

Limited-Complexity Polyhedric Tracking, for tracking time-varying parameters, which can accommodate both smooth and infrequent abrupt variations of the parameters. Both algorithms are combined to yield a limited-complexity polyhedric tracker.

發(fā)源

Antigen

Transfer Function Parameter Interval Estimation Using Recursive Least Squares in the Time and Frequ ways, it is possible to recursively compute inner and outer bounds of the uncertainty intervals. It is shown that the inner bound is asymptotically tight. It is demonstrated that transfer function parameter intervals can also be estimated, by applying the method to measured frequency function data.

BYRE

paroxysm

aquatic

Targeted Therapies for Lung Cancer,ivated by recent developments in the robust control field, where descriptions like hyperrectangular or polytopic domains have led to appealing stability and performance robustness properties of uncertain feedback systems.

reaching

Emer O. Hanrahan,Bonnie Glissonror. It also provides the set of parameters compatible with any upper bound of the error. This procedure is extended to output-error models, which are nonlinear in their parameters. Its robustness to outliers is discussed and a technique is described to detect and discard them.