A computing system can receive and compile power cell data, and in certain examples, the power cell data can be distributed to a distributed ledger. The computing system can further determine approximate battery end of life (ABEL) for each power cell based on a compiled historical record of power cell data. Based on the determined ABEL, the computing system can generate ABEL reports for users, determine optimal settings for a power cell or battery-powered device, and/or transmit notifications to users, to facilitate power cell usage optimization, and/or optimal repurposing or recycling timing.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. A two-stage controller includes an optimizer and a high speed controller to effectuate a change to one or more components of the electrical system. The high speed controller receives a set of control parameters for an upcoming extended time period. The control parameters include a plurality of bounds for an adjusted net power of the electrical system. The high speed controller sets an energy storage system command control variable (ESS command) based on a state of adjusted net power of the electrical system and the set of control parameters.

A method for setting the production schedule of a multiplicity of galvanized coils of metallic strip on a continuous galvanizing line is provided, the method including the steps of evaluating, for each possible combination of two uncoated coils, the impact of the transition from the first uncoated coil to the second uncoated coil on the quality of the galvanized coils, allocating to each possible combination of uncoated coils a weighting factor which depends on the results of the previous step and which takes into account the line constraints, computing the results of the previous step by calculating, for a number of possible schedules of the multiplicity of uncoated coils, a score which depends on the sum of the weighting factors attributed to the combinations of uncoated coils involved in the given schedule and by selecting the schedule with the optimal score.

A method for automating process development in a bioprocessing environment is provided. The method comprising: executing a first experiment run according to a set of parameters; retrieving a first real-time set of data of the experiment run while the experiment run is being executed; retrieving a second real-time set of data of an experiment run being executed in parallel, analysing the retrieved first real-time set of data and the second real-time set of data to determine an adjusted set of parameters; and, modifying, based on the analysis, the parameters upon which the experiment run is being executed during execution of the run such that the run continues to be executed according to the modified set of parameters. A system, computer program and computer readable medium are also provided.

Described are methods and systems for evaluating glycemic control and glucose homeostasis in a subject. Also described is a model of glucose homeostasis based on proportional and integral terms in a control system. A representative curve is generated based on glucose time series data and fit to the model in order to determine coefficients for each subject. The coefficients provide a digital biomarker of glycemic control for the subject and may be used to identify subjects with glycemic dysfunction.

A method and system for controlling voltage and reactive power for electrical grids includes monitoring the output of the energy generation facilities at the point of interconnection (POI) of each energy generation facility to the power transmission system of the electrical grid. In addition, the voltage at a point of utilization (POU) is monitored to determine when the output voltage of the energy generation facilities must be adjusted to maintain voltage at the POU. In addition, when it is determined that energy generation facilities are exchanging reactive power, the voltage set points of the energy generation facilities are adjusted to reduce the exchanged power.

A control system of a tape feeder that includes a reel on which is wound component supply tape, and a tape feeding device configured to draw out the component supply tape from the reel to a component pickup position, the control system including a sensor configured to detect information relating to a remaining amount of the tape on the reel; and a motor control section configured to change an operation parameter of a motor that is a drive source of the tape feeding device based on the tape remaining amount information detected by the sensor. Specifically, the motor control section changes the operation parameter of the motor so as to reduce the motor torque as the tape remaining amount on the reel decreases, based on the tape remaining amount information detected by the sensor.

A tuning system for live tuning of a motor is disclosed. The tuning system can implement a tuning process that periodically provides tuning parameters and tests to a device for tuning in response to initiation of a tuning process such that parameters can be adjusted during the tuning process. The tuning system can include tuning tool(s) and associated application(s) configured to run thereon. The associated application(s) can include a tuning application, a middleware application to gather data relating to the tuning, a networking program to stream tuning results to a computing device. The computing device can include a networking program to receive the tuning results that are streamed from the tuning system through its networking program and a user interface (UI) application to display the tuning results.

The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.

Disclosed is a method for tuning stiffness of a servo system, including: reconstructing a characteristic signal of a servo system; calculating a vibration characteristic covariance coefficient of the servo system according to the characteristic signal; and tuning the stiffness of the servo system according to the calculated vibration characteristic covariance coefficient. By reconstructing the characteristic signal of the servo system, relationships between parameters of the system and the characteristic signal of the system are determined, and then, system stiffness tuning is carried out by calculating the vibration characteristic covariance coefficient of the system. In the process of tuning the stiffness of the servo system, a tuning judgment is made according to the system's own parameters without relying on a special locus, thus increasing the compatibility and intelligence degree of an algorithm.