The present disclosure provides a scheduling method for a power system based on flexible HVDC (high-voltage direct current) and a pumped storage power station, which belongs to a field of power system control technologies. The method is applicable in a power system having a flexible HVDC system and a pumped storage power station. By establishing a scheduling model for the power system, which contains an objective function and multiple constraints, and solving the scheduling model, a capability of the pumped storage power station is used to adjust the unstable output of the renewable energy power generator and stabilize fluctuant of the renewable energy power generation, such that a power incoming into a load center presents a stable ladder pattern and an optimal scheduling scheme can be obtained.

There is provided an information processing system capable of suppressing arising of unprocessed data and depreciation of data with the lapse of time. The information processing system (1) includes a buffer unit (5), a processing unit (6), and a control unit (9). The buffer unit (5) sequentially receives data acquired by an observation terminal (2) from the observation terminal (2). The processing unit (6) sequentially processes the data received by the buffer unit (5). The control unit (9) controls an index value indicating information freshness by adjusting a resource of processing of the processing unit (6). The index value indicating the information freshness is calculated based on elapsed time from the time when the data is acquired by the observation terminal (2).

Provided are a reward generation method for reducing a peak load of power and an action control apparatus for performing the method. The reward generation method generates a reward according to a continuous energy storage system (ESS) action to reduce a peak load of a building by applying power consumption data monitored in the building to an artificial intelligence (AI)-based reinforcement learning scheme.

A method for automated optimisation of a servo control system controlled by a setpoint, the servo control system including a corrector in a feedback loop, the method exhibiting satisfactory reliability and performance in terms of stability through an iterative procedure, the most effective corrector being determined from among correctors by developing a current value of the delay margin and by individually testing the correctors on the servo control system of the real mechatronic system and by injecting an excitation signal into the loop and by assessing two effective indicators based on at least one effective static margin and one effective dynamic margin, the two effective indicators being an effective static indicator and an effective dynamic indicator, the iterative procedure being stopped on a corrector, which is then the optimal corrector, when the two effective indicators become greater than respective thresholds determined for a current delay margin value.

A building system including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive an event from an event source, the event indicating a data value associated with the event source occurring at a particular time. The instructions cause the one or more processors to identify contextual data of a database that provides a contextual description of the event, generate an enriched event by enriching the event with the contextual data, the enriched event including the data value, the particular time, and the contextual data, and provide the enriched event to a consuming application configured to operate based on the enriched event.

A control device executes a step of starting a computation processing of a prediction model; a step of computing a remaining processing time until the computation processing is completed after starting the computation processing of the prediction model; a step of determining whether the determination of the command value based on an output obtained from the prediction model is made within a control timing for controlling the operation of manufacturing by the manufacturing device, on the basis of a computed remaining processing time; and a step of stopping, when it is determined that the determination of the command value is not made within the control timing, the computation processing of the prediction model, determining the command value on the basis of a value of an intermediate result of the computation processing, and controlling the operation of the manufacturing device on the basis of the determined command value.

The controlling method uses a control specification. In the method, at least part of the progression of the controlling process is monitored, and at least one quality criterion characterizing the quality of the control method is determined, (e.g., ascertained), in accordance with the progression. The control specification is adjusted in accordance with the quality criterion.

Systems and methods for automatically generating solver code for a nonlinear model predictive controller are disclosed. In one embodiment, a method of automatically generating solver code for a nonlinear model predictive control solver includes receiving an optimal control problem code, wherein the optimal control problem code represents an optimal control problem comprising a cost function, one or more constraints, and a continuous time model representing dynamics of a system. The method further includes receiving a discretization method preference, a linearization point preference, and a parameter specification, and encoding the optimal control problem into an optimization problem by discretizing the optimal control problem according to the discretization method preference, and linearizing the optimal control problem according to the linearization point preference. The method further includes generating the solver code from the optimization problem.

A control device, a system and methods for optimizing and providing movement profiles, wherein the movement profiles serve for determining the movement of tools of a press and the movement of a receiving element for a workpiece of a transfer system, where transfer movement profiles are synchronized with one another via press movement profiles, the synchronization of the transfer movement profiles particularly occurs by chronologically shifting synchronization points via boundary conditions such that an offset of the press movement profiles can be determined via the synchronization, so that the workpiece can be processed as quickly as possible through the system.

A nonlinear disturbance rejection control apparatus and method for electronic throttle control systems are invented to control the electronic throttle system and to achieve a continuous finite-time disturbance rejection control goal. A control sub-apparatus and method are proposed with an observing sub-apparatus and method for controlling the opening angle of an electronic throttle valve. A mathematical model of the electronic throttle system is analyzed and a control-oriented model is presented with the formation of a lumped disturbance. With combination of the continuous terminal sliding mode control method and the output feedback control method, based on the finite-time high-order sliding mode observer, the preferred control performance is guaranteed, where both the dynamic and static performance of the system is effectively improved.