Abstract: A load control method and a load control system of an indenter based on fuzzy predictive control, are provided. The method includes acquiring an actual measured force value of a sensor and an expected force value of the nth cycle in the loading stage; calculating a first error and a change rate; establishing and optimizing a fuzzy predictive controller; determining movement steps of a motor in the loading stage; acquiring the actual measured value of the sensor and an expected force value of the nth cycle in the full load stage; controlling the movement of the motor; acquiring the actual measured force value of the sensor and an expected force value of the nth cycle in the unloading stage; calculating a third error and a change rate; and determining the movement steps of the motor in the unloading stage.

Abstract: A load control method of an indenter based on fuzzy predictive control and a system, acquiring the actual measured force value of a sensor in the loading stage; acquiring the expected force value of the nth cycle in the loading stage; calculating a first error and a change rate; establishing and optimizing a fuzzy predictive controller; determining the movement steps of a motor in the loading stage; acquiring the actual measured value of the sensor in the full load stage; acquiring the expected force value of the nth cycle in the full load stage and calculating a second error; controlling the movement of the motor; acquiring the actual measured force value of the sensor in the unloading stage; acquiring the expected force value of the nth cycle in the unloading stage; calculating a third error and a change rate; determining the movement steps of the motor in the unloading stage.

Abstract: A dynamic runtime reconfigurable server its operational logic as it performs tasks for different customers at different times based on different configurations defined by the customers. The embodiments reduce resource overhead associated with reconfiguring and loading the different customer configurations into server memory at runtime. The server selectively loads different customer configurations from storage into server memory as the configurations are accessed in response to received client requests. The server also selectively preloads configurations into memory at periodic server restarts based on configurations accessed during the interval prior to each restart. The restart allows the server to remove old configurations from memory and maintain the most recently accessed ones. Restarting is also performed without interrupting server operation in responding to user requests.

Abstract: A dynamic runtime reconfigurable server its operational logic as it performs tasks for different customers at different times based on different configurations defined by the customers. The embodiments reduce resource overhead associated with reconfiguring and loading the different customer configurations into server memory at runtime. The server selectively loads different customer configurations from storage into server memory as the configurations are accessed in response to received client requests. The server also selectively preloads configurations into memory at periodic server restarts based on configurations accessed during the interval prior to each restart. The restart allows the server to remove old configurations from memory and maintain the most recently accessed ones. Restarting is also performed without interrupting server operation in responding to user requests.