A method of optimizing a control loop of a converter, such as a control system of the converter, includes acquiring actual values of a drive system powered by the converter, inferring, based on at least one machine learning model and the actual values, one or more adjustments of control parameters of the control loop for improving the control accuracy, and outputting the one or more adjustments for adapting control parameter values.

The invention discloses a MIMO different-factor compact-form model-free control method with parameter self-tuning. In view of the limitations of the existing MIMO compact-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 factor, the invention proposes a MIMO compact-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. Meanwhile, parameter self-tuning is proposed to effectively address the problem of time-consuming and cost-consuming when tuning the penalty factors and/or step-size factors. Compared with the existing method, the inventive method has higher control accuracy, stronger stability and wider applicability.

A rotating equipment system with in-line drive-sense circuit (DSC) electric power signal processing includes rotating equipment, in-line drive-sense circuits (DSCs), and one or more processing modules. The in-line DSCs receive input electrical power signals and generate motor drive signals for the rotating equipment. An in-line DSC receives an input electrical power signal, processes it to generate and output a motor drive signal to the rotating equipment via a single line and simultaneously senses the motor drive signal via the single line. Based on the sensing of the motor drive signal via the single line, the in-line DSC provides a digital signal to the one or more processing modules that receive and process the digital signal to determine information regarding one or more operational conditions of the rotating equipment, and based thereon, selectively facilitate one or more adaptation operations on the motor drive signal via the in-line DSC.

A second action is identified by the edged device. The second action is associated with a second networked device of the plurality of networked devices in the environment. The second networked device is unrelated to the first networked device. A relationship is detected between the first networked device and the second networked device by the edge device. A network device bubble is generated by the edge device. The network device bubble is based on the relationship that is detected.

A second action is identified by the edged device. The second action is associated with a second networked device of the plurality of networked devices in the environment. The second networked device is unrelated to the first networked device. A relationship is detected between the first networked device and the second networked device by the edge device. A network device bubble is generated by the edge device. The network device bubble is based on the relationship that is detected.

Systems, methods, and computer-readable media are described for intelligent, real-time monitoring and managing of changes in oilfield equilibrium to optimize production of desired hydrocarbons and economic viability of the field. In some examples, a method can involve generating, based on a topology of a field of wells, a respective graph for the wells, each respective graph including computing devices coupled with one or more sensors and/or actuators. The method can involve collecting, via the computing devices, respective parameters associated with one or more computing devices, sensors, actuators, and/or models, and identifying a measured state associated with the computing devices, sensors, actuators, and/or models. Further, the method can involve automatically generating, based on the respective graph and respective parameters, a decision tree for the measured state, and determining, based on the decision tree, an automated adjustment for modifying production of hydrocarbons and/or an economic parameter of the hydrocarbon production.

Systems, methods, and computer-readable media are described for intelligent, real-time monitoring and managing of changes in oilfield equilibrium to optimize production of desired hydrocarbons and economic viability of the field. In some examples, a method can involve generating, based on a topology of a field of wells, a respective graph for the wells, each respective graph including computing devices coupled with one or more sensors and/or actuators. The method can involve collecting, via the computing devices, respective parameters associated with one or more computing devices, sensors, actuators, and/or models, and identifying a measured state associated with the computing devices, sensors, actuators, and/or models. Further, the method can involve automatically generating, based on the respective graph and respective parameters, a decision tree for the measured state, and determining, based on the decision tree, an automated adjustment for modifying production of hydrocarbons and/or an economic parameter of the hydrocarbon production.

A method includes injecting a probe signal into a power system; receiving a measurement of an operational parameter of the power system responsive to injecting the probe signal into the power system; generating a transfer function model of the power system based on the measurement of the operational parameter of the power system and the probe signal; and updating at least one control parameter of a Wide Area Damping Controller (WADC) communicatively coupled to the power system based on the transfer function model.

Various ways to control the ambient temperature of a room in a structure are described. In one embodiment, a method for intelligently controlling an ambient room temperature in a structure is described, comprising receiving a future outdoor temperature forecast related to a geographic area where the structure is located, and altering a temperature profile for controlling the ambient room temperature based on the future outdoor temperature forecast.

A method, apparatus and system to facilitate maintenance of a network enabled bathing unit system. A Graphical User Interface (GUI) is presented providing a user operable control for receiving from a customer a service request requesting that a technician contact the customer. The user operable control may in some cases be enabled in response to detection of an operational error in the bathing unit system and disabled otherwise. In response to receipt of the service request through the user operable control, a notification message indicating that the customer has requested to be contacted by a technician is sent over a communication network. In some embodiments, a message responsive to the service request is received to cause the GUI to present user-selectable options to enable the customer to selectively permit the remote control and monitoring of the bathing unit system by a specific remote service technician.