Trajectory Tracking on Complex Networks via Inverse Optimal Pinning Control
Carlos J. Vega, Oscar J. Suárez, Edgar Nelson Sanchez, Guanrong Chen, Santiago Elvira‐Ceja, David I. Rodriguez · IEEE Transactions on Automatic Control · 2018
In this technical note, a novel approach to trajectory tracking control of a complex network is presented, based on the idea and technique of inverse optimal pinning control. A control law that stabilizes the tracking error dynamics is developed. This controller allows different coupling strengths, and simultaneously minimizing an associated cost functional. Chaotic systems are considered to illustrate the applicability of the new methodology and the proposed controller effectiveness via simulations.