Bemporad, Alberto and Mosca, Edoardo Robust nonlinear reference filtering for constrained linear systems with uncertain impulse/step responses. In: Decision and Control Conference. IEEE, Kobe, Japan, December 1996, pp. 3527-3528. ISBN 0-7803-3590-2 (1996)
Full text not available from this repository.Abstract
A method based on conceptual tools of predictive control is described for solving tracking problems wherein pointwise-in-time input and/or state inequality constraints and model uncertainties are present. It consists of adding to a primal compensated system a nonlinear device called predictive reference filter (PRF) which manipulates the desired trajectory in order to fulfill the prescribed constraints. Provided that an admissibility condition on the initial state is satisfied, the control scheme is proved to fulfill the constraints and be asymptotically stable for all the systems whose impulse-response and step-response descriptions lie within given uncertainty ranges
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1109/CDC.1996.573717 |
| Uncontrolled Keywords: | asymptotic stability; filtering theory; linear systems; nonlinear filters; predictive control; robust control; step response; transient response; uncertain systems |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TJ Mechanical engineering and machinery |
| Research Area: | Computer Science and Applications |
| Depositing User: | Professor Alberto Bemporad |
| Date Deposited: | 27 Jul 2011 09:20 |
| Last Modified: | 16 Jul 2014 13:07 |
| URI: | http://eprints.imtlucca.it/id/eprint/597 |
Actions (login required)
 |
Edit Item |
