Abstract: A machine learning system that optimizes coefficients of at least one filter provided in a servo control device that controls a motor includes: an initial setting unit that sets initial values of the coefficients of the filter so as to attenuate at least one specific frequency component; a frequency characteristic calculation unit that calculates at least one of an input/output gain and an input/output phase delay of the servo control device based on an input signal and an output signal of the servo control device, of which the frequencies change; and a filter characteristic removing unit that removes filter characteristics of an initial filter in which the initial values are set to the filter from at least one of the input/output gain and the input/output phase delay obtained based on the input signal and the output signal obtained using the initial filter at the start of machine learning.

Abstract: Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information including a change in state of the power consuming device(s), a directive for a change in state of the power consuming device(s), a priority message, an alert, a status, an update, a location with respect to the electric power grid, a function, device attributes, and combinations thereof.

Abstract: Architectures or techniques are presented that can determine a setting for an environment control (EC) or HVAC system in response to a fault with the EC system that controls an environment of an occupant. Significantly, the determined setting can be intentionally selected as one that does not comport with the expectations or desired comfort level of the occupant. Thus, a condition can be created in the environment that is determined to be likely to cause the occupant to examine a user interface associated with the EC system. The user interface can present an indication of the fault, which otherwise may go unnoticed, particularly in cases where the occupant has no reason to interact with the EC system due to the environment meeting expectations.

Abstract: A shaping system is provided and includes: a shaping executing part configured to execute shaping of a three-dimensional object and including multiple inkjet heads that respectively discharge ink droplets of colors different from each other; and a shaping controlling part configured to control an operation of the shaping executing part. The shaping controlling part accepts a designation of a shaping color being a color of the three-dimensional object to be shaped based on a shaping data from an user, and causes the shaping executing part to shape the three-dimensional object so that at least an outer appearance of the three-dimensional object is colored in the shaping color which is designated. The shaping executing part shapes the three-dimensional object according to a control by the shaping controlling part, and colors at least an outer appearance of the three-dimensional object in the shaping color designated by the user using multiple inkjet heads.

Abstract: An environmental control system for a building including heating, ventilation, or air conditioning (HVAC) equipment that operates to affect a zone of the building and a controller including a processing circuit. The processing circuit is configured to estimate a thermal resistance between air of the zone and of an external space using values of a temperature of the zone air, a temperature of the external space air, and a heat transfer rate of the HVAC equipment, each value corresponding to a different time step within a time period. The processing circuit is configured to use the thermal resistance, time step specific values of the temperatures, and time step specific values of the heat transfer rate to estimate corresponding values of a heat disturbance. The processing circuit is configured to operate the HVAC equipment using a model-based control technique based on the heat disturbance values.

Abstract: Embodiments of the disclosure include systems and methods for providing dynamic ingredient matrix reconfiguration in a product dispenser. In one example, a method for configuring a dispenser apparatus may include determining one or more current associations between some or all of a plurality of ingredient packages and one or more of a plurality of dispensing devices associated with the dispenser apparatus. The method may include determining whether a current association of the one or more current associations has changed with respect to at least one previous association between some or all of the plurality of ingredient packages and one or more of the plurality of dispensing devices, and in response to ascertaining that the current association has changed, modifying an association table based at least on the one or more current associations, the association table being representative of the at least one previous association.

Abstract: Provided herein is a method for automated control of the gas turbine fuel composition through automated modification of the ratio of fuel gas from multiple sources. The method includes providing first and second fuel sources. The method further includes sensing the operational parameters of a turbine and determining whether the operational parameters are within preset operational limits. The method also adjusting the ration of the first fuel source to the second fuel source, based on whether the operational parameters are within the preset operational limits.

Abstract: An information handling system may include a chassis including a drive bay configured to receive a data storage device. A pre-heater installed at the drive bay may include a first power connector configured to mate with a corresponding power connector included at the drive bay, and configured when operating to increase a temperature of the information handling system to a predetermined level prior to initializing the information handling system for computational operation.

Abstract: A method and system are provided for automatically portioning workpieces, such as food products, by simulating portioning the workpieces in accordance with the one or more desired shapes of the final piece(s) as a directly controlled physical characteristic (parameter/specification) as well as one or more resulting indirectly controlled physical characteristics (parameters/specifications). The desired shape(s) of the final piece(s) are defined by a plurality of manipulatable reference coordinates. A workpiece is scanned to obtain scanning information, then portioning of the workpiece is simulated in accordance with the desired shape(s) of the final piece(s) defined by the directly controlled reference coordinates, thereby to determine the one or more indirectly controlled physical characteristics of the one or more final pieces to be portioned from the workpiece.

Abstract: A distributed control system for use in an assembly line grow pod includes a master controller and a hardware controller device. The master controller includes a first processor and a first memory for storing a first set of instructions that dictates plant growing operations and a second set of instructions that dictates a plurality of distributed control functions. The hardware controller device is coupled to the master controller via a plug-in network interface. The hardware controller device includes a second processor and a second memory for storing a third set of instructions that dictate a selected control function of the plurality of distributed control functions. Upon the plug-in connection, the master controller identifies an address of the hardware controller device and sends a set of parameters defining a plurality of tasks relating to the selected control function.

Abstract: Embodiments include a system and method for performing analytics based chiller sequencing. Embodiments include a plurality of chillers, a system controller configured to control the plurality of chillers, and one or more sensors in communication with the controller, the one or more sensors configured to generate operational data based on measured operational parameters of the plurality of chillers. Embodiments include the controller including a processor configured to obtain the operational data, calculate scores for each of the plurality of chillers based on the operational data, and rank the plurality of chillers based on the scores. The processor is further configured to sequence the plurality of chillers based at least in part on the ranking, and control operation of the plurality of chillers based on the sequencing.

Abstract: System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g.

Abstract: Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information including a change in state of the power consuming device(s), a directive for a change in state of the power consuming device(s), a priority message, an alert, a status, an update, a location with respect to the electric power grid, a function, device attributes, and combinations thereof.

Abstract: Methods and systems are provided for monitoring and controlling irrigation and climate conditions in landscapes (such as, e.g., municipal parks, gardens, and sports fields) and agricultural environments (such as, e.g., open agricultural fields, greenhouses, and other sites growing crops).

Abstract: Some embodiments provide irrigation controllers comprising: a housing; a control unit including a first microcontroller configured to execute irrigation programs and a first set of code; and a removable plug-in device that removably mates with a portion of the irrigation controller and communicationally couples to the first microcontroller, wherein the plug-in device comprises a memory storing a second set of code to replace at least a portion of the first set of code, wherein the plug-in device is configured to re-flash at least a portion of the first set of code allowing a copy of the second set of code to overwrite at least the portion of the first set of code; wherein the first set of code comprises a bootloader that writes the copy of the second set of code over the first set of code with the exception of the bootloader that is not written over.

Abstract: A method for customizing an interactive control boundary based on a patient-specific anatomy includes obtaining a standard control boundary and determining an intersection between a reference feature associated with the standard control boundary and a virtual representation of an anatomy of the patient. The method further includes identifying an anatomic perimeter at the intersection between the identified reference feature and the virtual representation of the anatomy. An anatomic feature on the virtual representation of the anatomy is determined from the intersection of the reference feature and the virtual representation of the anatomy. The standard control boundary is modified based on at least one anatomic feature to generate a customized control boundary.

Abstract: A drive apparatus which controls a speed or a torque of a servo motor of a processing machine according to a command obtained by converting an external command input from outside includes a machine learning apparatus which learns appropriate conversion from the external command to the command. The machine learning apparatus includes: a state observing unit which observes the external command, the command, and a state of the processing machine or the servo motor as state variables that represent a present state of an environment; a determination data acquiring unit which acquires determination data indicating an evaluation result of processing by the processing machine; and a learning unit which learns the external command and the state of the processing machine or the servo motor, and the command, in association with each other using the state variables and the determination data.

Abstract: An asset management system that includes a field asset management system; a maintenance management system; and a digital avatar associated with a specific asset. The digital avatar has an automatic Model that is customized for the associated asset. The digital avatar automatically receives information from at least one of the field asset management system or maintenance management system as information associated with the asset is entered into the at least one of the field asset management system or maintenance management system. The automatic Model automatically runs with the new information and provides a new operating parameter for use by at least the field asset management system.

Abstract: The disclosure is provided to transmit a sensor value from a sensor to an external device with high efficiency. A sensor value of a sensor is acquired, basic data as time-series data is generated with reference to the acquired sensor value, differential data indicating a difference between the basic data and measurement data as time-series data corresponding to the sensor value acquired from the sensor is generated, and the differential data is transmitted to an external device through wireless communication.

Abstract: A universal programming station with orientable blocks includes several blocks that can have variable orientations on a support. The orientations of the blocks determine programming instructions applicable to various devices. Such a programming station is intuitive and can be used easily. Moreover, connecting the station with a management platform, via a communication network, promotes the universal character of same with respect to the devices to be programmed.