A method for controlling a motor-vehicle electronic control unit with a view to acquiring the measurement of a physical quantity using a digital sensor connected to the electronic control unit, in which method the sensor sends measurement digital data with a send period and the electronic control unit processes these measurement data with a processing period, the send period being shorter than the processing period. At the end of each processing period, the average value of the measured physical quantity is determined over an interval of N preceding processing periods.

Systems and methods for providing network connectivity and remote monitoring, optimization, and control of pool/spa equipment are provided. “Internet-of-Things” (IoT) functionality is provided for pool and spa equipment in a flexible and cost-effective manner. Network connectivity and remote monitoring/control of pool and spa equipment is provided by various components such as a network communication and local control subsystem installed in pool/spa equipment, and other components. Also disclosed are various control processes (“pool logic”) which can be embodied as software code installed in any of the various embodiments of the present disclosure.

Techniques for controlling operation of sensors at a physical premises are described. The techniques process received messages corresponding to a prediction of an impending event and produce commands that modify operation of one or more specific sensors at the physical premises, send the commands that modify the operation of the one or more sensor devices at the physical premises at a period of time prior to a likely occurrence of the predicted insurable event, collect sensor information from the plurality of sensor devices deployed at the premises, and store the sensor information in a remote persistent storage system.

Techniques for controlling operation of sensors at a physical premises are described. The techniques process received messages corresponding to a prediction of an impending event and produce commands that modify operation of one or more specific sensors at the physical premises, send the commands that modify the operation of the one or more sensor devices at the physical premises at a period of time prior to a likely occurrence of the predicted insurable event, collect sensor information from the plurality of sensor devices deployed at the premises, and store the sensor information in a remote persistent storage system.

Disclosed is a method for designing a PID controller, having a control model

[00001]$C\left(s\right)=K_P\left(1+\frac{K_I}{S^{\lambda }}+K_D{S}^u\right),$

wherein K.sub.D=aK.sub.I, and u=bλ, a and b are proportional coefficients, the control model is reset as

[00002]$C\left(s\right)=K_P\left(1+\frac{K_I}{S^{\lambda }}+{\mathrm{aK}}_I{S}^{b\lambda }\right),$

a transfer function of a controlled object in a control system is set as

[00003]$G\left(s\right)=\frac{K}{s^3+{\tau }_1{s}^2+{\tau }_{2}s}.$

The method comprises selecting a cut-off frequency ω.sub.c and a phase margin φ.sub.m of the control system; obtaining values of the proportional coefficients a and b, according to an optimal proportion model of control model parameters of the fractional order PID controller, and according to the cut-off frequency ω.sub.c and the phase margin φ.sub.m; calculating amplitude information and phase information of the transfer function at the cut-off frequency ω.sub.c; obtaining two equations related to an integral gain K.sub.I and a fractional order λ; solving the integral gain K.sub.I and the fractional order λ; solving a differential gain K.sub.D and a fractional order u; and calculating a

Disclosed is a method for designing a PID controller, having a control model

[00001]$C\left(s\right)=K_P\left(1+\frac{K_I}{S^{\lambda }}+K_D{S}^u\right),$

wherein K.sub.D=aK.sub.I, and u=bλ, a and b are proportional coefficients, the control model is reset as

[00002]$C\left(s\right)=K_P\left(1+\frac{K_I}{S^{\lambda }}+{\mathrm{aK}}_I{S}^{b\lambda }\right),$

a transfer function of a controlled object in a control system is set as

[00003]$G\left(s\right)=\frac{K}{s^3+{\tau }_1{s}^2+{\tau }_{2}s}.$

The method comprises selecting a cut-off frequency ω.sub.c and a phase margin φ.sub.m of the control system; obtaining values of the proportional coefficients a and b, according to an optimal proportion model of control model parameters of the fractional order PID controller, and according to the cut-off frequency ω.sub.c and the phase margin φ.sub.m; calculating amplitude information and phase information of the transfer function at the cut-off frequency ω.sub.c; obtaining two equations related to an integral gain K.sub.I and a fractional order λ; solving the integral gain K.sub.I and the fractional order λ; solving a differential gain K.sub.D and a fractional order u; and calculating a

Systems and methods for providing network connectivity and remote monitoring, optimization, and control of pool/spa equipment are provided. “Internet-of-Things” (IoT) functionality is provided for pool and spa equipment in a flexible and cost-effective manner. Network connectivity and remote monitoring/control of pool and spa equipment is provided by various components such as a network communication and local control subsystem installed in pool/spa equipment, and other components. Also disclosed are various control processes (“pool logic”) which can be embodied as software code installed in any of the various embodiments of the present disclosure.

An apparatus is described for controlling fluid flow and in particular fluid flow through a microfluidic multi-port control valve assembly of a High Pressure Liquid Chromatography (HPLC) unit. The flow control apparatus has a localized data repository for storing cumulative wear indications of components of the apparatus. The stored information travels with the apparatus allowing for more reliable predictive failure of components of the apparatus.

A data propagation system stores operator/machine/implement combinations, and corresponding settings data indicative of settings on the machine or implement for the corresponding combination. When a machine is connected to an implement, an identity of an operator is detected, along with an identity of the machine and an identity of the implement. The data propagation system determines whether settings data is available for that operator/machine/implement combination. If so, the settings data is obtained and the machine and implement are automatically controlled based upon the retrieved settings data.

A data propagation system stores operator/machine/implement combinations, and corresponding settings data indicative of settings on the machine or implement for the corresponding combination. When a machine is connected to an implement, an identity of an operator is detected, along with an identity of the machine and an identity of the implement. The data propagation system determines whether settings data is available for that operator/machine/implement combination. If so, the settings data is obtained and the machine and implement are automatically controlled based upon the retrieved settings data.