Method and apparatus for training a system model including an integrated sigmoid function
First Claim
1. A system for managing a plant or process, comprising:
- a computer system, comprising;
a processor; and
a memory medium coupled to the processor, wherein the memory stores program instructions executable by the processor to implement a model, wherein the model comprises a representation of a plant or process, and wherein the plant or process comprises linear and non-linear aspects;
an input, coupled to the computer system, wherein the input is operable to receive an input vector comprising one or more inputs for the model, each input representing an attribute of the plant or process; and
an output, coupled to the computer system;
wherein the model comprises;
a linear portion, representing the linear aspects of the plant or process; and
a non-linear portion, representing the non-linear aspects of the plant or process, wherein the non-linear portion comprises a function, wherein for each of the one or more inputs, xi, the function is of the form;
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Abstract
Method and apparatus for training a system model with gain constraints. A method is disclosed for training a steady-state model having an input and an output and a mapping layer for mapping the input to the output, the model comprising a stored representation of a plant or process, and including a linear portion and a non-linear portion, where the non-linear portion includes a function. Input is received to the model, and predicted output computed corresponding to attribute(s) of the plant or process. The predicted output is stored, and is usable to manage the plant or process. The model is trained to optimize a specified objective function subject to one or more constraints, e.g., via a non-linear programming (NLP) optimizer, the constraints including, hard constraint(s) comprising strict limitations on the training in optimizing the objective function, and/or soft constraint(s) comprising a weighted penalty function included in the objective function.
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Citations
23 Claims
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1. A system for managing a plant or process, comprising:
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a computer system, comprising; a processor; and a memory medium coupled to the processor, wherein the memory stores program instructions executable by the processor to implement a model, wherein the model comprises a representation of a plant or process, and wherein the plant or process comprises linear and non-linear aspects; an input, coupled to the computer system, wherein the input is operable to receive an input vector comprising one or more inputs for the model, each input representing an attribute of the plant or process; and an output, coupled to the computer system; wherein the model comprises; a linear portion, representing the linear aspects of the plant or process; and a non-linear portion, representing the non-linear aspects of the plant or process, wherein the non-linear portion comprises a function, wherein for each of the one or more inputs, xi, the function is of the form; - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A computer-accessible memory medium that stores program instructions implementing a model of a plant or process, wherein the program instructions are executable by a processor to perform:
receiving an input vector comprising one or more inputs, each input representing an attribute of a plant or process, wherein the plant or process comprises linear and non-linear aspects, wherein the model comprises a linear portion representing the linear aspects of the plant or process, and a non-linear portion, representing the non-linear aspects of the plant or process, and wherein the non-linear portion comprises a function, and wherein for each of the one or more inputs, xi, the function is of the form; - View Dependent Claims (19, 20)
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21. A method for managing a plant or process, comprising:
receiving one or more inputs to a model, each input representing an attribute of a plant or process, wherein the process comprises linear aspects and non-linear aspects, wherein the model comprises a representation of the plant or process, wherein the model comprises a linear portion representing the linear aspects of the plant or process, and a non-linear portion representing the non-linear aspects of the plant or process, and wherein the non-linear portion comprises a function, and wherein for each of the one or more inputs, xi, the function is of the form; - View Dependent Claims (22, 23)
Specification