Abstract: Model predictive control (MPC) is widely employed for power converters in energy storage systems. However, the limited sampling frequency of microcontrollers and model mismatches can cause ...
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 ...
High blood pressure stands out as one of the known markers behind heart damage and disease. Clinical research has revealed ...
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
We congratulate Celeste Porsbjerg and colleagues for their Series paper1 addressing a key question in asthma care: the definition of the ideal candidate for biological therapy. Porsbjerg and ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
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