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Updated: Jan 25, 2026

Control of Eating Behavior Using a Novel Feedback System
Published on: May 8, 2018
H∞ Static Output-Feedback Control Design for Discrete-Time Systems Using Reinforcement Learning
Abstract:
This paper provides necessary and sufficient conditions for the existence of the static output-feedback (OPFB) solution to the H∞ control problem for linear discrete-time systems. It is shown that the solution of the static OPFB H∞ control is a Nash equilibrium point. Furthermore, a Q-learning algorithm is developed to find the H∞ OPFB solution online using data measured along the system trajectories and without knowing the system matrices. This is achieved by solving a game algebraic Riccati equation online and using the measured data. A simulation example shows the effectiveness of the proposed method.
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