This project seeks to develop a theoretical framework for the analysis, control, and estimation of cooperative robotic systems comprised of groups of autonomous robots that are deployed to optimize multiple cooperative objectives.
Pingping Zhu, Chang Liu, Silvia Ferrari, "Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems," IEEE Transactions on Control of Network Systems, submitted, arXiv preprint arXiv:2003.01891, 2020. [Link][PDF]
Keith Rudd, Greg Foderaro, Pingping Zhu, Silvia Ferrari, “A Generalized Reduced Gradient Method for the Optimal Control of Very Large-Scale Robotic Systems,” IEEE Transactions on Robotics, 33 (5), 1226-1232, 2017. [Link]
Greg Foderaro, Pingping Zhu, Hongchuan Wei, Thomas A. Wettergren, Silvia Ferrari, “Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking,” IEEE Transactions on Control of Network Systems, 2016. [Link]
Pingping Zhu, Julian Morelli, Silvia Ferrari, “Value Function Approximation for Multiscale Dynamical Systems,” IEEE Conference on Decision and Control (CDC), 2016. [Link]
Silvia Ferrari, Greg Foderaro, Pingping Zhu and Thomas A. Wettergren ,“Distributed Optimal Control: A Tutorial", IEEE Control Systems Magazine, Vol. 36 (2), 102-116. [Link]
Pingping Zhu,Wenjie Lu, HongchuanWei, Silvia Ferrari, "Multi-Kernel Probability Distribution Regressions," International Joint Conference on Neural Networks (IJCNN), 2015. [Link]