RESUMEN
This study presents a predefined-time control strategy for rigid spacecraft, employing dynamic predictive techniques to achieve robust and precise attitude tracking within predefined time constraints. Advanced predictive algorithms are used to effectively mitigate system uncertainties and environmental disturbances. The main contributions of this work are introducing adaptive global optimization for period updates, which relaxes the original restrictive conditions; ensuring easier parameter adjustments in predefined-time control, providing a nonconservative upper bound on system stability; and developing a continuous, robust control law through terminal sliding mode control and predictive methods. Extensive simulations confirm the control scheme reduces attitude tracking errors to less than 0.01 degrees at steady state, demonstrating the effectiveness of the proposed control strategy.
RESUMEN
To improve the usage rate and quality of emergency equipment in the hospital, the emergency equipment management was studied. The specialized management and common use of emergency equipment in a hospital was analysed with statistical methods. The usage rate, economic effectiveness and management quality of the equipment were evaluated. Based on the practical experience, the superiorities of the specialized management and common use of emergency equipment in hospitals were summarized, and the inferior positions and their improvement approaches were proposed. As a result, the hospital resource allocation was optimized and the equipment management level was improved by using the specialized management and common use of emergency equipment in the hospital.