An autonomous futures contract orchestration platform includes a set of processors programmed with a set of non-transitory computer-readable instructions. The instructions include receiving, from a data source, an indication associated with a product that relates to an entity that purchases or sells the product. The instructions include predicting a baseline cost of purchasing or selling the product at a future point in time based on the indication. The instructions include retrieving a futures cost, at a current point in time, of a futures contract for an obligation to the purchasing or selling the product for delivery or performance of the product at the future point in time. The instructions include executing a smart contract for the futures contract based on the baseline cost and the futures cost. The instructions include orchestrating the delivery or performance of the product at the future point in time.

A system, method, and/or apparatus is provided for production processes in which online frequently derived measurements are determined use existing online and/or offline reference measurements and real-time and/or historical data to model process variables and/or product properties to achieve enhanced production goals.

An example control device includes memory storing a first thermal model of a building and a second thermal model of the building, and a processor connected to the memory. The processor is configured to select the first thermal model or the second thermal model as a selected thermal model, and execute model predictive control (MPC) using the selected thermal model to control a heating, cooling, ventilation, and/or air conditioning (HVAC) apparatus at the building.

A system, method, and medium for corrective action to achieve baseline condition including a communication component and a processor. The communication component receives input data associated with one or more operating conditions of an equipment utilized for baseline activity and captures baseline data relating to a system baseline associated with a corrective action recommendation. The processor predicts an optimal operating condition based on at least one of a statistical model, a mathematical model, or a machine learning model of the equipment and determine the corrective action recommendation based on the optimal operating condition. The corrective action recommendation is associated with the system baseline. The processor also detects one or more anomalies from the baseline data deviating from the system baseline beyond a predetermined range, and re-evaluates the optimal operating condition based on the anomaly or anomalies.

Embodiments relate to a predictor device for controlling at least one actuating variable of a plant having at least one actuator, which can be controlled by the actuating variable, and a state with at least one controlled variable that can be detected by a sensor. The predictor has an adaptation device and an L1-adaptive control apparatus. The predictor has a state modelling device for estimating a behavior of the plant and outputs an estimated state with at least one estimated variable. The embodiments relate to an aircraft with such a control device for flight control. The embodiments also relate to an L1-adaptive control method using an L1-adaptive control apparatus, an adaptation device generating a matched uncertainty signal and an unmatched uncertainty signal, and a predictor having a state modelling device. The embodiments relate to an aircraft with a control device for flight control, which executes such a method.

To accurately predict a sensor value even in the case where external force is received. A control apparatus according to the present disclosure includes a prediction section that, in an actuator including a torque sensor that detects torque generated at a driving shaft, and an encoder that detects a rotational angle of the driving shaft, predicts a detection value of the encoder on a basis of a detection value of the torque sensor, or predict the detection value of the torque sensor on a basis of the detection value of the encoder, and a trouble determination section that compares a prediction value predicted by the prediction section with an actually measured value of the torque sensor or the encoder to perform trouble determination on the torque sensor or the encoder.

Methods and systems for optimizing pipeline operation are disclosed, including an operating system for optimizing a pipeline objective for a pipeline system comprising a plurality of pipeline sections, the operating system comprising a controller configured to: (i) generate a current state of at least one section of the pipeline, the current state comprising the measured state of at least one pipeline object and at least one fluid object; (ii) generate a line fill; (iii) generate a predicted future state of the at least one section of the pipeline from the line fill, and a schedule of planned additions of fluids and planned flow rates; (iv) generate an optimized future state of the at least one section of the pipeline with an optimization function; and (v) determine one or more setpoints to implement the optimized future state.

A heating, ventilation, and air conditioning (HVAC) control device is configured to record a plurality of actual occupancy statuses, to determine a plurality of corresponding predicted occupancy statuses, and to compare the plurality of predicted occupancy statuses to the plurality of actual occupancy statuses. The device is further configured to identify conflicting occupancy statuses based on the comparison. A conflicting occupancy status indicates a difference between an actual occupancy status and a corresponding predicted occupancy status. The device is further configured to identify timestamps corresponding with the conflicting occupancy statuses, to identify historical occupancy statuses corresponding with the identified timestamps, and to update the conflicting occupancy statuses in the predicted occupancy schedule with the historical occupancy statuses.

A control device for operating an on-board power supply system of a motor vehicle includes an input unit which is configured to determine operating parameters of the on-board power supply system of the motor vehicle and/or one or more environment parameters of the motor vehicle and to forward them to a processing unit of the control device. At least one environment parameter is a probability of an operating action of a third-party vehicle.

Processes and systems that control operation of a commercial refinery distillation column and/or splitter operable to separate hydrocarbons. An automated process controller (APC) receives signal from at least one analyzer that provides information about the concentration of at least a first chemical in a first fraction and a second chemical in a second fraction obtained from the distillation column. The APC comprises programming in the form of an algorithm that calculates real-time monetary values for the first chemical and the second chemical and alters the operation of the distillation column to change either the percentage of the first chemical in the second fraction or the percentage of the second chemical in the first fraction, thereby maximizing overall operational profit for the distillation column.