Inverting Nonminimum-Phase Systems from the Perspectives of Feedforward and ILC * *This research is supported by the Dutch Technology Foundation STW, carried out as part of the Robust Cyber-Physical Systems (RCPS) project (no. 12694); and Innovational Research Incentives Scheme under the VENI grant 'Precision Motion: Beyond the Nanometer' (no. 13073) awarded by NWO (The Netherlands Organization for Scientific Research)
| Autor: | Tae Tom Oomen, Jcd Jurgen van Zundert |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering Control algorithm Basis (linear algebra) business.industry 020208 electrical & electronic engineering Abstract system Feed forward Phase (waves) Inversion (meteorology) Control engineering 02 engineering and technology 020901 industrial engineering & automation Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Benchmark (computing) business Model inversion |
| Zdroj: | IFAC-PapersOnLine. 50:12101-12106 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2017.08.2135 |
| Popis: | System inversion is at the basis of many feedforward and learning control algorithms. This paper aims to analyze several of these approaches in view of their subsequent use, showing inappropriate use that is previously overlooked. This leads to new insights and approaches for both feedforward and learning. The methods are compared in various aspects, including finite vs. infinite preview, exact vs. approximate, and quality of inversion in various norms which directly relates to their use. The results are validated on a nonminimum-phase benchmark system. |
| Databáze: | OpenAIRE |
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