Methods and apparatus to control roll-forming processes are disclosed. A disclosed example roll-forming apparatus includes an inlet portion to receive material, an outlet portion from which the material exits the roll-forming apparatus, a plurality of rollers extending between the inlet and outlet portions, a sensor to measure at least one dimension of the material as the material moves through the roll-forming apparatus, the material measured by the sensor between the inlet and outlet portions, and material adjuster circuitry to adjust roll-forming of the material by moving at least one of the plurality of rollers based on the at least one dimension.

The present invention relates to a control system for a movement reconstruction and/or restoration system for a patient, comprising a movement model generation module to generate movement model data information, an analysis module receiving and processing data provided at least by the movement model generation module, wherein the control system is configured and arranged to prepare and provide on the basis of data received by the movement model generation module and the analysis module a movement model describing the movement of a patient and providing, on the basis of the movement model, stimulation data for movement reconstruction and/or restoration.

A first valve of a manifold for a fluid distribution system may regulate a fluid flow to a first fluid handling device (“FHD”). A second valve of the manifold may communicate with a second FHD, a reservoir, or a recirculation line. A target flow condition for the manifold may be determined by a manifold control system (“MCS”) based on a device setting received for the first FHD. The MCS may determine a fluid distribution system operation for obtaining the target flow condition based on the target flow condition, a flowrate of the fluid flow, and an operational state of a supply device. The operation may include the MCS controlling at least one of the supply device, the first valve, and the second valve to change the flowrate. The MCS may continuously operate at least one manifold valve to maintain the target flow condition once exhibited by the manifold.

A system and method for controlling operations of a fluid distribution may include a first manifold receiving a next mode of operation for the fluid distribution system. The first manifold may calculate first and second flow requirements for the first and second manifolds that may respectively include a first and second total flowrates from the first and second manifolds. The first manifold may determine required operation states for valves of the first manifold and the second manifold for the next mode based on the first and second flow requirements. The first manifold may be controllably operated to cause the second manifold and a supply device of the fluid distribution system to operate in the required operation states and provide first and second flow requirements. The first manifold may direct the second manifold to independently balance individual outlet flowrates of the second manifold while continuing to provide the second flow requirements.

A control customization system 80 customizes a plant control. A profiler 81 predicts actions of a user depending on situations of the plant or the user. A planner 82 determines an appropriate set of objectives which represent tasks desired by the user, and objective terms representing elements for controlling the plant so as to realize the objectives, and tunes the objective terms based on predictions of the profiler 81.

An intelligent control system and method of thin plate dryer for cut tobacco are provided. The system includes a factor searching and screening unit, a control unit, an early warning unit. The control unit adopts a dual-model control method and establishes a process parameter control model and an energy balance model, the control unit calculates the moisture discharge opening value in real time according to the dual-model; the early warning unit is configured to connected with the control unit, and send out an alarm information based on early warning signal. The present disclosure is designed to transform the traditional control into intelligent precision control, improve product quality, reduce product differences between batches and build an intelligent early warning function.

A system control apparatus includes a proportional-integral-derivative (PID) controller configured to control a behavior of a system and having a gain, and a gain determiner configured to apply, to a set adaptive load model, a variable associated with an error that varies based on a load change of the system and adaptively vary the gain using the adaptive load model to which the variable associated with the error is applied.

A system can include a gas turbine and a processing system. The gas turbine can include a compressor coupled to a turbine through a shaft. The processing system can be configured to: automatically transition an operating condition of the system through a plurality of operating states; determine an efficiency of the system at each of a plurality of the operating states; for each of the plurality of operating states: select a future operating state of the system based on the determined efficiency of the current operating state.

A method for obtaining a product by electrolysis, including: a) determining a set point for a production output by minimizing a first mathematical function, which depends on the production output and on a predicted product demand; b) determining respective set points for multiple process parameters by minimizing a second mathematical function, which depends on the set point for the production output determined in a), on the process parameters and on predicted degradation effects; c) determining respective set points for changes of multiple control parameters by minimizing a third mathematical function, which depends on the set points for the process parameters determined in b) and on the changes of the control parameters; and d) obtaining the product by performing the electrolysis using the set points for the changes of the control parameters determined in c).

Various embodiments described herein relate to management of industrial process optimization related to batch operations. In this regard, an optimization request to optimize an industrial process that produces an industrial process product is received. In response to the optimization request, product spent characteristics for one or more blending components of a batch operation subprocess are determined. Also in response to the optimization request, demand data for one or more feed products associated with the one or more blending components is updated based on the product spent characteristics and inventory data indicative of an inventory level for the one or more feed products. Furthermore, a control signal configured based on the demand data is transmitted to a controller configured for optimization associated with the industrial process that produces the industrial process product.