3results about How to "Implement security controls" patented technology

This invention relates to the field of FSRU thermal energy regulation technology, specifically disclosing a high-efficiency waste heat and cooling water integrated priority heating system and method for FSRUs. The method includes: responding to collected multi-dimensional operating data, associating and marking the multi-dimensional operating data, and identifying the current operating condition level of the FSRU based on the marking results; if the operating condition level indicates the need for heat source switching, then determining a heat allocation scheme including the target heat source and flow path configuration according to the cross-domain priority matrix corresponding to the operating condition level. This invention can eliminate unstable factors such as fluid backflow, pump cavitation, and control signal oscillation while ensuring rapid response, significantly improving the robustness and switching smoothness of the FSRU energy supply system under extreme sea conditions, and achieving inherently safe cross-domain collaborative control.

This invention discloses a semi-Markov power system security control method under random DoS attacks, belonging to the field of power system control technology. This invention introduces a logic processor to capture the maximum duration of a DoS attack and calculates the probability of the attack and the resulting maximum allowable number of consecutive packet losses by employing periodic sampling technology. Furthermore, considering the asynchronous behavior between the power system and the controller, a non-homogeneous Hidden Markov Model is used to describe the asynchronous phenomenon, and the uncertain transfer rate matrix is ​​further discussed in two types, which helps to provide a clearer framework. By combining controller control with performance index control, security control of the system can be achieved through static output feedback under random DoS attacks.

The application relates to the technical field of automobile control, in particular to a safety control method, system and device for automatic steering of an unmanned vehicle, wherein, in the safety control method, in the case that an actuator attack occurs in the automatic steering control process of the unmanned vehicle, it is assumed that the actuator attack signal has no specific assumption rule, the accurate actual attack signal is obtained after nonlinear mapping and weighted summation processing in a neural network method, the actual control signal input under the actuator attack is constructed based on the actual attack signal, then the integral sliding mode strategy is used to design a sliding mode reaching law, the sliding mode controller signal is constructed in combination with the actual attack signal, and the sliding mode controller safety signal range is obtained in combination with the derivative of the designed Lyapunov function, so that the unmanned vehicle can be automatically and safely steered under the actuator attack, and the safety control of the automatic steering of the unmanned vehicle is realized.