Honeywell International Inc.
APPLICATION OF SIMPLE RANDOM SEARCH APPROACH FOR REINFORCEMENT LEARNING TO CONTROLLER TUNING PARAMETERS

Abstract:

A method and system for reinforcement learning can involve applying a finite-difference approach to a controller, and tuning the controller in response to applying the finite-difference approach by taking a state as an entirety of a closed-loop step response. The disclosed finite-different approach is based on a random search to tuning the controller, which operates on the entire closed-loop step-response of the system and iteratively improves the gains towards a desired closed-loop response. This allows for prescribing stability requirement into the reward function without any modeling procedures.