Abstract: Traditionally, system identification (SysID) has emphasized point predictions and model accuracy, with limited exploration of prediction intervals (PIs) to assess uncertainty. Type-2 (T2) ...
Abstract: Time-varying algebraic Riccati equations (TAREs) indeed play a crucial role in science and engineering with widespread applications. This research combines the advantages of zeroing neural ...