Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...
Your healthcare data is about personal as it gets, and Edifecs wants to offer you peace of mind while it’s in motion. With legal mandates such as HIPAA governing the handling of healthcare information ...
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