A system and method for performing novel wind forecasting that is particularly accurate for forecasting over short-term time periods, e.g., over the next 1-5 hours. Such wind forecasting is particularly advantageous in wind energy applications. The disclosed method is anchored in a robust physical model of the wind variability in the atmospheric boundary layer (ABL). The disclosed method approach leverages a physical framework based on the unsteady dynamics of earth's atmosphere, and drives forecasting as a function of previously-observed atmospheric condition data observed at the same location for which a wind forecast is desired.

A predictive controller controls a vehicle subject to equality and inequality constraints on state and control variables of the vehicle and solves a matrix equation of necessary optimality conditions to produce control inputs to control the vehicle. The controller represents the state variables as a function of the control variables using discrete-time dynamics and determines the control inputs iteratively using two levels of iterations. The first level of iterations selects active inequality constraints, updates a constraint Jacobian matrix with a low-rank update for a change in the set of active inequality constraints to include the active inequality constraints, and updates a preconditioning matrix with a low-rank factorization update, in response to the low-rank update of the constraint Jacobian matrix. The second level of iterations, nested in the first level, solves the matrix equation with the updated constraint Jacobian matrix using the updated preconditioning matrix to produce the control inputs.

A control circuitry includes a propulsor trim prediction circuitry configured to generate a predicted propulsor collective blade pitch trim value for a target state of an aircraft based on an aircraft velocity and a pitch attitude deviation from a reference. The control circuitry further includes an output circuitry configured to output a propulsor collective blade pitch angle command based on the predicted propulsor collective blade pitch trim value. The propulsor collective blade pitch angle command is configured to cause an adjustment in a blade pitch angle of a propulsor of the aircraft. Additionally or alternatively, the control circuitry includes a pitch attitude trim prediction circuitry configured to generate a predicted pitch attitude trim value. The output circuitry is configured to output an aircraft pitch attitude trim command, configured to cause an adjustment in a pitch angle of the aircraft, based on the predicted pitch attitude trim value.

Method and environment controller predicting temperature variations based on sound level measurements. The environment controller determines N consecutive sets of frequency domain sound level measurements. Each set of frequency domain sound level measurements comprises a given number M of sound level amplitudes at the corresponding given number M of frequencies. The environment controller executes a neural network inference engine using a predictive model for inferring one or more output based on inputs. The inputs comprise the N consecutive sets of frequency domain sound level measurements. The one or more output comprises a predicted variation of a temperature. For example, the environment controller receives a plurality of consecutive time domain sound level measurements from a sound sensor and generates the N consecutive sets of frequency domain sound level measurements based on the plurality of consecutive time domain sound level measurements (for instance by using a Fast Fourier Transform algorithm).

Method and environment controller predicting CO2 level variations based on sound level measurements. The environment controller determines N consecutive sets of frequency domain sound level measurements. Each set of frequency domain sound level measurements comprises a given number M of sound level amplitudes at the corresponding given number M of frequencies. The environment controller executes a neural network inference engine using a predictive model for inferring one or more output based on inputs. The inputs comprise the N consecutive sets of frequency domain sound level measurements. The one or more output comprises a predicted variation of a CO2 level. For example, the environment controller receives a plurality of consecutive time domain sound level measurements from a sound sensor and generates the N consecutive sets of frequency domain sound level measurements based on the plurality of consecutive time domain sound level measurements (for instance by using a Fast Fourier Transform algorithm).

An objective of the present invention is to provide a future state estimation method and future state estimation device with which, given that the space in which the estimation is carried out is finite, it is possible to rapidly estimate the states of a controlled object and the peripheral environment thereof in the form of probability density distribution for infinite future. Provided is a future state estimation device characterized by comprising: a model storage part for saving a model for simulating a subject of simulation and the peripheral environment of the subject of simulation; a future state forecast result storage part for storing information obtained by estimating future states of the subject of simulation and the peripheral environment of the subject of simulation within a finite space in the form of probability density distribution, for either an infinite time or a given time step in the future; and a future state forecast computation part for carrying out calculation, which is equivalent to a series, using the model for simulating the future states of the subject of simulation and the peripheral environment of the subject of simulation in the form of probability density distribution.

Methods are provided for predicting the properties of an asphalt emulsion, such as an asphalt emulsion that contains an asphalt fraction derived from a plurality of crude oils. Corresponding tools are provided to allow for visualization of the predicted asphalt emulsion properties. The properties of the asphalt components in an asphalt fraction for forming an emulsion can be represented based on using a simplified functional form to represent each emulsion property of each asphalt component. The emulsion properties of an asphalt fraction, composed of a plurality of asphalt components, can be modeled based on a linear combination of the emulsion properties of the asphalt components.

A system and a method for regulating charging and discharging of an energy storage device as part of an electrical power distribution network is described. The invention is a smart control algorithm for a bi-directional switch in which an energy storage device, such as a battery set, is charged when electricity prices are low and discharged when electricity prices are high. The invention uses two different types of pricing data: forecasted price data and real-time price data. The forecasted price data is used to set a threshold. When the real-time price data of electricity exceeds this threshold, the energy storage device is set to discharge and send power to the grid. Otherwise the energy storage device is set to charge. The threshold is set periodically, typically in 30 minute to several hour intervals to capture the latest data.

Systems and methods for identifying optimal siting locations for an energy storage system. Siting locations are identified based on a value index derived from pricing data associated with a plurality of nodes on an electrical grid. An index is derived for each selected node of the plurality of nodes to produce a siting recommendation.

A system identification device for performing fast real-time identification for a system from input/output data includes a filter robust to disturbance, by setting the maximum energy gain from the disturbance to a filter error, as an evaluation criterion, smaller than a given upper limit. The filter estimates a state estimation value of a state of the system.