Synthesizing Neural Network Controllers with Guaranteed Closed-Loop Dissipativity

The core message of this paper is to present a method for synthesizing neural network controllers that guarantee closed-loop dissipativity, enabling certification of performance requirements such as stability and L2 gain bounds, for a class of uncertain linear time-invariant plants.