A method of optimizing an additive manufacturing (AM) process includes receiving at least one design parameter of the AM process, receiving information relating to uncertainty in at least one other parameter of the AM process, performing uncertainty quantification in the optimization processor based on the at least one design parameters and uncertainty information to identify a shape error in an object being produced, updating the at least one design parameter of the AM process and utilizing the updated at least one design parameter in the AM process. A system for optimizing an AM process includes a design processor to produce at least one design parameter for an object to be manufactured, and an optimization processor to receive the at least one design parameter and uncertainty information to identify a shape error in the object to be manufactured and update the design parameters based on the shape error, prior or during the manufacturing process.

The invention discloses a MIMO different-factor full-form model-free control method. In view of the limitations of the existing MIMO full-form model-free control method with the same-factor structure, namely, at time k, different control inputs in the control input vector can only use the same values of penalty factor and step-size factors, the invention proposes a MIMO full-form model-free control method with the different-factor structure, namely, at time k, different control inputs in the control input vector can use different values of penalty factors and/or step-size factors, which can solve control problems of strongly nonlinear MIMO systems with different characteristics between control channels widely existing in complex plants. Compared with the existing control method, the inventive method has higher control accuracy, stronger stability and wider applicability.

A method includes receiving part data associated with a corresponding part of substrate processing equipment, sensor data associated with one or more corresponding substrate processing operations performed by the substrate processing equipment to produce one or more corresponding substrates, and metrology data associated with the one or more corresponding substrates produced by the one or more corresponding substrate processing operations performed by the substrate processing equipment that includes the corresponding part. The method further includes generating sets of aggregated part-sensor-metrology data including a corresponding set of part data, a corresponding set of sensor data, and a corresponding set of metrology data. The method further includes causing analysis of the sets of aggregated part-sensor-metrology data to generate one or more outputs to perform a corrective action associated with the corresponding part of the substrate processing equipment.

The present application relates to the technical field of an aroma diffuser, and more particularly to a control method and a control device for an aroma diffuser, a mobile terminal, and a storage medium. The control method includes: displaying an aroma diffuser control page, in which, the aroma diffuser control page includes a result reflection graph and at least one adjusting control; and adjusting, when an operation of the at least one adjusting control is detected, a working mode of the aroma diffuser, and updating a result reflection graph, in which, the result reflection graph shows an adjustment result of the working mode. Therefore, the aroma diffuser can be easily controlled, and the control result of the aroma diffuser can be presented on the result reflection graph.

Disclosed are an air conditioning system and its pressure ratio control method and device. The method includes: acquiring an actual pressure ratio of the compressor every preset time period in operation of the air conditioning system; judging whether the actual pressure ratio is greater than or equal to the first pressure ratio corresponding to a current level; controlling the compressor to downshift one level for operation if the actual pressure ratio is greater than or equal to the first pressure ratio corresponding to the current level; further judging whether the actual pressure ratio is less than the second pressure ratio corresponding to the current level if the actual pressure ratio is less than the first pressure ratio corresponding to the current level; and controlling the compressor to upshift one level for operation if the actual pressure ratio is less than the second pressure ratio corresponding to the current level.

A power supply device which can be connected to an external device and flexibly distribute power is provided. A control circuit of the power supply device, when detecting that a shell connecting point of the power supply device is electrically connected to an external connecting point of a first external device, determines whether a type of the first external device is a load device and records device information related to the first external device in a power routing table. If yes, the control circuit transmits the power routing table to the first external device and then, instructs the power routing circuit to adjust a switch thereof according to a path table returned from the first external device so as to power the first external device. A power transferring device, a power supply method and a power transferring method are also provided.

Provided is a technology of enabling notification, to a user, that the state of a machine system has changed prior to occurrence of machine resonance, irrespective of the direction of a resonance frequency change. This servo driver is provided with: a servo control means for controlling a servo motor in accordance with a time-sequentially inputted command; a calculation means for time-sequentially collecting input data and output data for use in calculation of the frequency response of the servo control means while the servo control means is performing control, in accordance with a command for driving the servo motor itself, based on the command, and calculating a frequency response of the servo control means within a frequency range including a resonance peak, on the basis of the collected data; a specification means for specifying the gain of the resonance peak from the calculated frequency response; and an information output means for comparing the specified gain with a threshold lower than 0 dB, and outputting, when the gain is equal to or greater than the threshold, information for notifying, to a user, that the state of a machine system such as the servo motor has changed.

An apparatus and method to be implemented with a control loop system that includes machine set, wherein the machine set includes a working machine, an electric motor driving the working machine, and a final control element, and wherein the apparatus and method optimize the state of the machine set to minimize power consumption of the motor and maximize reliability of the machine set.

An industrial automation component may receive a first set of data associated with the industrial automation component, such that the industrial automation component is associated with a first industrial automation system. The industrial automation component may then receive a second set of data associated with one or more other industrial automation components, such that the one or more other industrial automation components are associated with one or more other industrial automation systems. The industrial automation component may then identify one or more similar patterns in the first set of data and the second set of data and adjust one or more operations of the industrial automation component based on the similar patterns.

A system for allocating one or more resources including electrical energy across equipment that operate to satisfy a resource demand of a building. The system includes electrical energy storage including one or more batteries configured to store electrical energy purchased from a utility and to discharge the stored electrical energy. The system further includes a controller configured to determine an allocation of the one or more resources by performing an optimization of a value function. The value function includes a monetized cost of capacity loss for the electrical energy storage predicted to result from battery degradation due to a potential allocation of the one or more resources. The controller is further configured to use the allocation of the one or more resources to operate the electrical energy storage.