Abstract:
A method to determine global optimality/feasibility/infeasibility when solving a quadratic system of modeling equations for industrial problems includes a bound propagation process to refine bounds and improve linearization, a local linear bounding process to determine feasibility and find approximately feasible solutions, a local linearization process to determine feasibility and local optimality, and a global subdivision search to branch and prune. Applications include solving and optimizing scheduling, planning, operations, inventory, suppliers, ordering, customers, and production problems.
Abstract:
A computing machine capable of performing multiple operations using a universal computing unit is provided. The universal computing unit maps an input signal to an output signal. The mapping is initiated using an instruction that includes the input signal, a weight matrix, and an activation function. Using the instruction, the universal computing unit may perform multiple operations using the same hardware configuration. The computation that is performed by the universal computing unit is determined by the weight matrix and activation function used. Accordingly, the universal computing unit does not require any programming to perform a type of computing operation because the type of operation is determined by the parameters of the instruction, specifically, the weight matrix and the activation function.
Abstract:
A method for modeling and design of a coupled cavity laser device is provided. A coupled cavity laser device includes a resonant cavity that includes at least two sub-cavities. The method of the invention includes selecting device characteristics of the laser, performing round trip iteration calculations, including an inter-cavity field exchange, for each sub-cavity, testing to determine whether a convergence has been reached, and computing a device output beam characteristic.
Abstract:
A controller controls a physical variable such as temperature of a controlled system. A variable calculator calculates and output a manipulated variable on the controlled system based on of a target value such as a target temperature and a feedback value such as the measured temperature of the controlled system. A dead-time compensator provides a dead-time compensated output using a model simulating the controlled system having a dead time and an idealized model having no dead time, based on the manipulated variable outputted from the variable calculator to carry out an ordinary control and a dead-time compensated control. A switch functions to select the dead-time compensated control by providing a dead-time compensated output to the variable calculator or an ordinary control providing no dead-time compensated output to the variable calculator. The dead-time compensated control is carried out at least during set point response of the controller.
Abstract:
Provided is an appliance control system and method for remotely controlling various types of electrical home appliances using a mobile communications terminal, and a home gateway. To operate the electrical home appliances which vary in manufacturer and type, a database 71 in a database center 7 stores each corresponding appliance control program. In a household area 3, the electrical home appliance(s) 4 are connected to a home gateway 6 via a household network 5. The home gateway 6 collectively controls information about the storage locations of the appliance control programs on the database 71 together with various types of information about the electrical home appliances 4. A mobile communications terminal 2 refers to the home gateway 6 so as to acquire from the database 71 only the appliance control program of any electrical home appliance 4 which a user desires to operate. Through interpretation and execution of thus acquired appliance control program, any desired operation is instructed to the electrical home appliance 4.
Abstract:
One embodiment of the present invention provides a system that solves an unconstrained interval global optimization problem specified by a function null, wherein null is a scalar function of a vector xnull(x1, x2, x3, . . . xn). The system operates by receiving a representation of the function f, and then performing an interval global optimization process to compute guaranteed bounds on a globally minimum value null* of the function null(x) and the location or locations x* of the global minimum. While performing the interval global optimization process, the system deletes all of part of a subbox X for which null(x)>null_bar, wherein null_bar is the least upper bound on f* that has been so far found. This is called the nullnull_bar testnull. The system applies term consistency to the null_bar test over the subbox X to increase that portion of the subbox X that can be proved to violate the null_bar test.
Abstract:
Generally, an Eigen network and system using same are disclosed that use Principal Component Analysis (PCA) in a middle (or nullhiddennull) layer of a neural network. The PCA essentially takes the place of a Radial Basis Function hidden layer. A classifier comprises inputs that are routed to a PCA device. The PCA device performs PCA on the inputs and produces outputs (entitled nullPCA outputsnull for clarity). The PCA outputs are connected to output nodes. Generally, each output is connected to each output node. Each connection is multiplied by a weight, and each output node uses weighted PCA outputs to produce an output (entitled a nullnode outputnull for clarity). These node outputs are then generally compared in order to assign a class to the input. A system uses the PCA classifier to classify input patterns. In a third aspect of the invention, a PCA classifier is trained in order to determine weights for each of the connections that are connected to the output nodes.
Abstract:
An apparatus for controlling and monitoring the usage of water from plumbing fixtures includes an electronic control board for supplying control signals including an activation signal to a controlled device in response to a detection signal created by a sensor. The electronic control board comprises an on delay timer that must time out before an activation signal is sent to the controlled device, a run timer which permits activation of the controlled device during a run time interval, and an off delay timer that must time out before a subsequent detection signal will be permitted to generate an activation signal. A lockout timer prohibits generation of an activation signal if the number of activations exceeds a cycle limit. The control board further comprises means for shutting off the controlled device if the second detection signal occurs during the run time interval.
Abstract:
The present invention provides a method and system for complex process optimization utilizing metrics, operational variables, or both, of one or more process steps and optimization of one or more of these process step parameters with respect to a cost function for the parameter. In one embodiment, the invention provides a scalable, hierarchical optimization method utilizing optimizations at one process level as inputs to an optimization of a higher or lower process level.
Abstract:
A method and apparatus for controlling a non-linear mill. A linear controller is provided having a linear gain k that is operable to receive inputs representing measured variables of the plant and predict on an output of the linear controller predicted control values for manipulatible variables that control the plant. A non-linear model of the plant is provided for storing a representation of the plant over a trained region of the operating input space and having a steady-state gain K associated therewith. The gain k of the linear model is adjusted with the gain K of the non-linear model in accordance with a predetermined relationship as the measured variables change the operating region of the input space at which the linear controller is predicting the values for the manipulatible variables. The predicted manipulatible variables are then output after the step of adjusting the gain k