Abstract: The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.

Abstract: The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.

Abstract: The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.

Abstract: A multitenant network scheme system includes a memory, a physical processor in communication with the memory, an isolated guest on a host, a virtual switch, and a network interface controller. The isolated guest includes a virtual network interface controller (vNIC). The virtual switch includes a plurality ports, which include a northbound port, a communication port, and a southbound port. The northbound port is connected to a network having a respective network name. Additionally, the northbound port is associated with a virtual local area network (VLAN). The communication port is connected to the vNIC of the isolated guest and is associated with the VLAN. The network interface controller is connected to the southbound port.

Abstract: The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.

Abstract: A multitenant network scheme system includes a memory, a physical processor in communication with the memory, an isolated guest on a host, a virtual switch, and a network interface controller. The isolated guest includes a virtual network interface controller (vNIC). The virtual switch includes a plurality ports, which include a northbound port, a communication port, and a southbound port. The northbound port is connected to a network having a respective network name. Additionally, the northbound port is associated with a virtual local area network (VLAN). The communication port is connected to the vNIC of the isolated guest and is associated with the VLAN. The network interface controller is connected to the southbound port.

Abstract: The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.

Abstract: A multitenant network scheme system includes a memory, a physical processor in communication with the memory, an isolated guest on a host, a virtual switch, and a network interface controller. The isolated guest includes a virtual network interface controller (vNIC). The virtual switch includes a plurality ports, which include a northbound port, a communication port, and a southbound port. The northbound port is connected to a network having a respective network name. Additionally, the northbound port is associated with a virtual local area network (VLAN). The communication port is connected to the vNIC of the isolated guest and is associated with the VLAN. The network interface controller is connected to the southbound port.

Abstract: A multitenant network scheme system includes a memory, a physical processor in communication with the memory, an isolated guest on a host, a virtual switch, and a network interface controller. The isolated guest includes a virtual network interface controller (vNIC). The virtual switch includes a plurality ports, which include a northbound port, a communication port, and a southbound port. The northbound port is connected to a network having a respective network name. Additionally, the northbound port is associated with a virtual local area network (VLAN). The communication port is connected to the vNIC of the isolated guest and is associated with the VLAN. The network interface controller is connected to the southbound port.

Abstract: A multitenant network scheme system includes a system includes a memory, a physical processor in communication with the memory, an isolated guest on a host, a virtual switch, and a network interface controller. The isolated guest includes a virtual network interface controller (vNIC). The virtual switch includes a plurality ports, which include a northbound port, a communication port, and a southbound port. The northbound port is connected to a network having a respective network name. Additionally, the northbound port is associated with a virtual local area network (VLAN). The communication port is connected to the vNIC of the isolated guest and is associated with the VLAN. The network interface controller is connected to the southbound port.

Abstract: The embodiments described herein include one embodiment that provides a control method including determining a linear approximation of a pre-determined non-linear model of a process to be controlled, determining a convex approximation of the nonlinear constraint set, determining an initial stabilizing feasible control trajectory for a plurality of sample periods of a control trajectory, executing an optimization-based control algorithm to improve the initial stabilizing feasible control trajectory for a plurality of sample periods of a control trajectory, and controlling the controlled process by application.

Abstract: The embodiments described herein include one embodiment that provides a control method, including determining a first stabilizing feasible control trajectory of a plurality of variables of a controlled process, determining a second stabilizing feasible control trajectory for the plurality of variables for a second time step subsequent to the first time step, determining a first cost of applying the first feasible control trajectory at the second time step, determining a second cost of applying the second feasible control trajectory at the second time step, comparing the first and second costs, selecting the first feasible control trajectory or the second feasible control trajectory based upon the comparison in a predetermined time frame, and controlling the controlled process by application of the selected control trajectory.

Abstract: The embodiments described herein include one embodiment that provides a control method including determining a linear approximation of a pre-determined non-linear model of a process to be controlled, determining a convex approximation of the nonlinear constraint set, determining an initial stabilizing feasible control trajectory for a plurality of sample periods of a control trajectory, executing an optimization-based control algorithm to improve the initial stabilizing feasible control trajectory for a plurality of sample periods of a control trajectory, and controlling the controlled process by application.

Abstract: The embodiments described herein include one embodiment that a control method including executing an infeasible search algorithm during a first portion of a predetermined sample period to search for a feasible control trajectory of a plurality of variables of a controlled process, executing a feasible search algorithm during a second portion of the predetermined sample period to determine the feasible control trajectory if the infeasible search algorithm does not determine a feasible control trajectory, and controlling the controlled process by application of the feasible control trajectory.

Abstract: A control system for an actuator employs a number of discrete feedback controllers each tuned to different operating conditions or parameters. The competing outputs of the feedback controllers are combined using fuzzy logic which dynamically effects a combination depending on the output values. One set of rules in the preferred embodiment gives greater weighting to the output having relatively lower effect on the control process.