Efficient distributed optimisation for real-time control
Project Leader: Ye Pu
Primary Contact: Ye Pu (firstname.lastname@example.org)
Keywords: autonomous systems; real-time control; real-time optimisation
Disciplines: Electrical & Electronic Engineering
Real-time optimal control and estimation tackles the problems of computing stabilising controllers or estimators with limited resources, eg, computation time, data storage space or communication channels. In this activity I will focus on developing fast distributed algorithms to solve real-time control and estimation problems. Specifically, I will design algorithms which do not attempt to give an optimal solution with high accuracy, but only provide feasible/sub-optimal solutions which are good enough for specific applications. In other words, I consider the online resources such as computation time as a part of the specification for controller design. The algorithms aim at finding an “OK” solution with only a small amount of resources, while at the same time give performance guarantee for the closed-loop systems. In particular, I will study the tradeoff between different system specifications with given resources, as well as the optimal resource allocation problem.