On Optimal Feedforward and ILC: The Role of Feedback for Optimal Performance and Inferential Control * *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: | Jcd Jurgen van Zundert, Tae Tom Oomen |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
020901 industrial engineering & automation Control and Systems Engineering Computer science Control theory 020208 electrical & electronic engineering Iterative learning control Control (management) 0202 electrical engineering electronic engineering information engineering Feed forward Control engineering 02 engineering and technology Optimal control |
| Zdroj: | IFAC-PapersOnLine. 50:6093-6098 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2017.08.1384 |
| Popis: | The combination of feedback control with inverse model feedforward control or iterative learning control is known to yield high performance. The aim of this paper is to clarify the role of feedback in the design of feedforward controllers, with specific attention to the inferential situation. Recent developments in optimal feedforward control are combined with feedback control to jointly optimize a single performance criterion. Analysis and application show that the joint design addresses the specific control objectives. The combined design is essential in control, and in particular in inferential control. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|