Future developments

Abstract

This chapter anticipates future developments in machine learning control (MLC), a rapidly evolving discipline with applications of epic proportions. First, methodological advantages are considered. Big data and machine learning offer a huge opportunities to learn the optimal control faster and to address more complex problems, e.g. time-varying plants and high-dimensional actuation and sensing. Second, we outline high-impact engineering applications of MLC in turbulence and nonlinear control. These applications may range from everyday life to transport and industrial production.