Article ID: | iaor2017968 |
Volume: | 34 |
Issue: | 2 |
Publication Date: | Apr 2017 |
Journal: | Expert Systems |
Authors: | Adeli Hojjat, Gutierrez Soto Mariantonieta |
Keywords: | optimization, engineering, learning |
This paper presents a state‐of‐the‐art review of recent control algorithms used primarily for vibration control of smart structures and machines. Control algorithms can be divided into open loop, feedback, feedforward, and combined feedback and feedforward control. Solutions proposed can be subdivided into (a) classical control, (b) optimal control, (c) robust control, (d) intelligent control, and (e) self‐sustaining solutions and energy harvesting used in centralized and decentralized configurations. The most recent research on novel autonomous control systems intersects distributed control theory, agent‐based modeling, bioinspired computational learning, and optimization algorithms.