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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei Yu Wilson, D. Young, B. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical & Electronic Engineering, Auckland University of Technology, New Zealand (Wilson, D.) || Department of Chemical and Materials Engineering, The University of Auckland, New Zealand (Young, B.) || Industrial Information & Control Centre, Department of Chemical and Materials Engineering, The University of Auckland, New Zealand (Wei Yu) |
| Abstract | Control performance assessment or CPA is a useful tool to establish the quality of industrial feedback control loops. While many current CPA techniques are developed solely for the linear systems, [1–3] has recently considered CPA for nonlinear systems. This paper continues this trend by extending CPA into a popular class of nonlinear systems, specifically block-oriented nonlinear models. For these systems, a semi-parametric method is proposed to estimate the minimum variance performance lower bound and simulation examples illustrate that the proposed methodology is efficient and accurate enough to provide the statistics for nonlinear CPA. |
| Starting Page | 1151 |
| Ending Page | 1156 |
| File Size | 1165872 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424451951 |
| ISSN | 19483457 |
| DOI | 10.1109/ICCA.2010.5524173 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Nonlinear control systems Control systems Nonlinear systems Industrial control Statistics Biological system modeling Spline Automatic control Electrical equipment industry Chemical engineering |
| Content Type | Text |
| Resource Type | Article |
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