A phase and an amplitude improving method includes performing a model establishing step, a phase compensating step, an amplitude compensating step and a compensation information generating step. The model establishing step includes establishing an inverter model. A voltage command is inputted to the inverter model to generate an actual voltage information. The voltage command includes a phase command information and an amplitude command information. The phase compensating step includes computing the phase command information and the actual voltage information to generate a compensating phase information. The amplitude compensating step includes computing the amplitude command information and the actual voltage information to generate a compensating amplitude information. The compensation information generating step includes generating a compensating voltage command. The compensating voltage command is inputted to the inverter model to generate a compensating actual voltage information.

A shift detection system and method may monitor at least first and second operating parameters of a power supply system over time, and generate an adaptive model based on values of the first and second operating parameters. The adaptive model may include data points defined by the values of the first and second operating parameters. The data points may be grouped into bins according to designated ranges of the first operating parameter, and nodes may be calculated for individual bins based on the data points within the bins. An output function may be determined based on the nodes, and a shift incident may be detected based at least in part on an offset between the output function and recent values of the second operating parameter. A control signal may be generated in response to the shift incident to control the power supply system and/or notify an operator.

Systems and methods for generating an action strategy to be executed by an autonomous system are disclosed. The action strategy comprises a series of actions to be performed by the autonomous system to accomplish a corresponding active objective in response to detecting an abnormal event, the abnormal events occurring or having occurred in an environment where the autonomous system is configured to operate. The method comprises accessing a first database populated with event descriptions corresponding to abnormal events and accessing a second database populated with candidate objectives. Each candidate objective defines a task accomplishable by the autonomous system and comprises an activation condition and a progressive task unit structure describing a hierarchy of actions to be performed in order to accomplish the corresponding candidate objective. An execution of a candidate objective generating an action strategy from the progressive task unit structure of the active objective and executing the action strategy.

A multi-layer control system and method for a power electronic product. The multi-layer control system includes a first-layer controller and a second-layer controller. The first-layer controller acquires a first state signal of a power electronic product obtained by means of sensor measurement, and sends the first state signal to the second-layer controller, and receives a control reference signal fed back by the second-layer controller, and generates a control signal for the power electronic product on the basis of the control reference signal, and the second-layer controller acquires, according to the first state signal and a model simulating the power electronic product, a second state signal of the power electronic product other than the first state signal, and according to the first state signal, the second state signal, and a control target of the power electronic product, generates a control reference signal and outputs the control reference signal to the first-layer controller.