Name
Abstract | ||
|---|---|---|
Cyber-physical systems evolving in uncertain environment endure fluctuating dynamics during their lifetime. In such a variable context, controlling systems towards safety and system performances is challenging. In particular, controller tuning (finding optimal control parameters) is a challenging process due to the multiplicity of contexts to be considered. In this paper, we use a combination of model-driven simulation, dimensionality reduction, clustering and prediction techniques to define adequate control parameter settings. First, we propose to explore the controller behavior by simulating different configurations, a configuration is defined by a context (controlled process, environment, sensors, actuators) and a control parameters setting. From simulation results, a discretization is performed by binning the evaluation of quality of control. Then, we apply feature selection algorithms to identify contextual parameters that have a significant impact on performances of the controller. Considering only selected parameters, we finally carry out a clustering aiming at identifying for context domains an optimal control parameter setting. The approach is iterative to define the boundaries of the controller for a given context domain. For non simulated contexts, we propose a prediction module based on regression techniques.To evaluate the proposed approach, we compare it with classical control theory and we apply it to a proportional controller used for a leader/follower application. The experiment shows effectiveness in the identification of control parameters setting for different contexts. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/EUC50751.2020.00008 | 2020 IEEE 18th International Conference on Embedded and Ubiquitous Computing (EUC) |
Keywords | DocType | ISBN |
system performances,controller tuning,optimal control parameters,model-driven simulation,control parameter settings,controller behavior,controlled process,contextual parameters,optimal control parameter setting,proportional controller,iterative approach,continuous controller parameters,cyber-physical systems,regression techniques,leader-follower application | Conference | 978-1-6654-0401-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamza El Baccouri | 1 | 0 | 0.34 |
| Goulven Guillou | 2 | 0 | 0.34 |
| Jean-Philippe Babau | 3 | 0 | 0.34 |