Towards Probabilistic and Risk-Aware Active Disturbance Rejection Control: Particle-Filter-Based Extended-State Estimation and Control Action Selection
This paper proposes a novel probabilistic approach to Active Disturbance Rejection Control (ADRC) based on particle filtering (PF) for extended-state estimation. Unlike the classical Extended State Observer (ESO), the proposed method represents the system state and total disturbance using weighted particles, enabling t...