Abstract: Accurate parameter estimation is vital in instrumentation and measurement, especially for modeling dynamic systems based on measurement data. Recurrent networks have been widely adopted for ...
Abstract: This paper presents a reinforcement learning-based model predictive control (RL-MPC) output regulation approach for uncertain constrained linear systems. The proposed approach addresses key ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results