Techniques for ripple-type control of networked physical systems such as power systems, water systems, and others are provided. As one example, a device includes at least one processor configured to determine, for a first controllable device in a system, based on a measurement of an output parameter and a minimum output parameter value, an output violation value for the first device. The processor is further configured to determine, based on a present input value for the first device, the output violation value, and an assistance requisition value corresponding to a second device, a target input value for the first device. The processor is further configured to cause the first controllable device to modify operation based on the target input value and a maximum input value for the first controllable device.

New and/or alternative approaches to physical plant performance control that can account for the health of the physical plant. In one example, a control algorithm is enhanced by inclusion of terms related to optimized performance and terms related to physical plant health. In another example, a performance optimized control solution is determined, a maximum allowed deviation is defined, and a final solution for physical plant control is determined taking into account health factors to minimize health impacts within the maximum allowed deviation from optimized performance, using for example a two-stage analysis. Another example uses a two level system with a low level controller and a supervisory controller, in which the supervisory controller observes health impacts of ongoing operations managed by the low level controller, and modifies one or more parameters used by the low level controller.

The present invention relates to method for modifying process parameters based on optimum operation performance criteria for a metal working process, said method comprising the steps of inputting standard process parameters for at least one product to be machined and generating operational data based on the standard process parameters. Operational data is compared with optimized operation performance criteria and is presented to a decision-making entity. This entity may be allowed to modify the process parameters so as to improve operation of the metal working process.

The invention relates to a method for the two-position control of an actuator (1) on the basis of a binary sensor signal (y) of a sensor unit (2), which senses a process variable (P), which can be influenced by the actuator (1), in such a way that the sensor unit outputs a first sensor signal value (y1) when a first switching value (Sw1) is exceeded and a second sensor signal value (y0) when a second switching value (Sw1, Sw2) is fallen below, wherein: the actuator (1) is controlled with a manipulated variable (u), which assumes either a first control value (u1) or a second control value (u2); the first control value (u1) and the second control value (u2) are dynamically adapted during the operation of the actuator (1), in dependence on a fall time (t_fall) corresponding to the duration of the first sensor signal value (y1) and a rise time (t_rise) corresponding to the duration of the second sensor signal value (y0), in such a way that the first and second control values converge. The invention further relates to a two-position controller (10) designed to carry out the method and to an actuator (1) comprising said two-position controller (10).

A controller includes an offset value storage unit configured to store a plurality of tool offset values associated with a plurality of tools, respectively, an adjustment value storage unit configured to store an adjustment value used to adjust the plurality of tool offset values, and a calculation unit configured to calculate a plurality of adjustment offset values obtained by adjusting the plurality of tool offset values using the adjustment value.

A system and method enable an incineration facility to be controlled and diagnosed, and the life cycle thereof managed, using a heat exchange and design program and operation mode analysis of an operator of the facility. Operation efficiency is improved by comparing and analyzing (a) initial design values of the incineration facility, (b) measured actual valued obtained by measuring waste composition and heating values changed after construction of the facility and (c) operation values indicating actual operation adjustment values and operating result values operated by the operator and by analyzing the operator. The design values, measured actual values and operation values are compared and provided as data in graphs and tables.

To perform reinforcement learning enabling to prevent complicated adjustment of coefficients of backlash compensation and backlash acceleration compensation. A machine learning apparatus includes a state information acquiring part for acquiring, from a servo control apparatus, state information including at least position deviation and a set of coefficients to be used by a backlash acceleration compensating part, by making the servo control apparatus execute a predetermined machining program, an action information output part for outputting action information including adjustment information on the set of coefficients included in the state information to the servo control apparatus, a reward output part for outputting a reward value in the reinforcement learning on the basis of the position deviation included in the state information, and a value function updating part for updating an action-value function on the basis of the reward value output by the reward output part, the state information and the action information.

An atherectomy system includes a drive mechanism that is adapted to rotatably actuate an atherectomy burr and a controller that is adapted to regulate operation of the drive mechanism. In some cases, the drive mechanism includes a drive cable that is coupled with the atherectomy burr and an electric drive motor that is adapted to rotate the drive cable. The controller is adapted to regulate operation of the electric drive motor such that the drive mechanism emulates one or more performance parameters of an air turbine.

A technique capable of shortening a period in which value of a PID parameter is outside of an appropriate range is provided. A measured value acquisition functional unit processes a sensing signal of a sensor that measures a barrel and acquires a measured value of the barrel. A storage unit stores a target value of the barrel and a PID parameter. An operation amount calculation functional unit calculates an amount of operation using the PID parameter and a difference between the measured value and the target value. A first output unit and a second output unit output the amount of operation. A first updating functional unit updates the PID parameter through a first update process when the variation range is greater than a first range, and a second updating functional unit updates the PID parameter through a second update process when the variation range is less than a second range.

Automating Information Handling System (IHS) hardening optimization includes retrieving, from a plurality of IHS hardening configurations, an initial IHS hardening configuration and hardening an IHS based on the initial hardening configuration. An IHS hardening verification tool is then run to verify that the IHS is in compliance with a compliance checklist, if it is, end-to-end tests are run on the IHS, and upon passing the end-to-end tests the initial hardening option is determined to be the best hardening option for the IHS. However, in response to the IHS not passing the end-to-end tests, a next IHS hardening configuration is retrieved and the IHS is hardened based on the next hardening configuration. Running the hardening verification tool and end-to-end tests on the IHS and retrieving a further IHS hardening configuration and hardening the IHS based on the further hardening configuration is repeated, until the IHS passes the end-to-end tests.