Dear all,
I would like to know that are there any interesting recent research areas which combine data science with control theory? If there are, which are they?
Definitively Networked control systems (NCS)! The attachement offers a very good overview of the vast potential of this research topic.
C3 Energy data scientists bring knowledge from extensive research in computer science and engineering fields ranging from large-scale data mining to control theory
https://www.google.co.in/url?sa=t&source=web&rct=j&url=http://www.businesswire.com/news/home/20141104005390/en/World%25E2%2580%2599s-Preeminent-Machine-Learning-Experts-Bolster-C3&ved=0ahUKEwiNkoeO87DJAhXDGo4KHQDpD6k4HhAWCCMwAw&usg=AFQjCNF6qhCHDqNK1-yRqayJ8oylJAddtw&sig2=gjb5GUKlEHULcEnkJ2po4g
hi,
You can also refer few of my paper in which I used clustering algorithms for the control of nonlinear hybrid systems.
Article Parameter identification of PWARX models using fuzzy distanc...
Article Clustering based multiple model control of hybrid dynamical ...
Lots of control efforts have used techniques from data science and machine learning. Neural networks have been used extensively to design controllers, and genetic algorithms have been used to tune control laws with a predefined structure, such as PID.
Recently, clustering techniques have been used to discretize nonlinear dynamical systems for control (http://arxiv.org/abs/1602.05416).
Genetic programming has also been used to control nonlinear systems (i.e., turbulent fluid systems) by identifying the structure and parameters of effective control laws.
Article Feedback Control of Turbulent Shear Flows by Genetic Programming
Article Closed-Loop Turbulence Control: Progress and Challenges
- Badges
- Science topic
- Similar topics
- Engineering
- Control Theory