Special Issue "Algorithms for Reliable Estimation, Identification and Control"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 12594
Interests: interval analysis; state estimation; stochastic filtering techniques; robust control; optimization
Special Issues, Collections and Topics in MDPI journals
The optimization of feedforward and feedback controllers with respect to predefined performance criteria as well as the enhancement and verification of their robustness with respect to external disturbances and uncertain parameters are widespread aspects of current research activities. The same holds for the reliable estimation of non-measurable system states and for the identification of parameters based on uncertain measurements. Possible applications of related optimization algorithms can be found not only in the frame of a control and estimator synthesis, but also in the field of reliable modeling and in the model-based analysis of measured data.
This Special Issue aims at providing a platform for the publication of novel algorithms in the frame of reliable and optimal estimation and control. Moreover, application-oriented aspects highlighting the practical applicability of theoretical approaches are highly welcome.
Possible topics of interest include:
- Optimal and robust control of finite-dimensional systems;
- Optimization and robustness analysis for partial differential equations;
- Representation of epistemic and aleatory uncertainty by means of:
- Interval analysis; and
- Stochastic modeling procedures;
- Structural optimization of controllers and state observers;
- Parameter optimization and identification;
- Stability analysis.
Dr. Andreas Rauh
Manuscript Submission Information
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