System Model Comparison via Perturbation and Optimization
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Solution Overview
Problem
Existing processes for system model comparison face challenges in reconciling differences in underlying assumptions and complexities, which can impact the accuracy and fairness of comparison results.
Innovation Solution
An apparatus and method that utilize a processor and memory to receive system data, generate models, output model outputs, modify data using a perturbation function, compare outputs using an optimization function, and generate a state change output to determine system model comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If system model comparison is performed using traditional methods, then the comparison process is simple, but the accuracy and fairness of comparison results deteriorate due to differences in underlying assumptions and complexities
Solution Approach 1:
The patent transforms system models into a standardized parameter space by identifying and comparing key parameters across different models. This allows models with different assumptions and complexities to be compared on a common basis, improving accuracy while managing complexity through parameter standardization.
Solution Approach 2:
The patent introduces an intermediary comparison framework that mediates between models with different underlying assumptions. This framework provides a neutral basis for comparison by focusing on observable outcomes and key performance parameters rather than the inherent complexities of each model's assumptions.
2Reliability
If system model comparison accounts for differences in assumptions and complexities, then the fairness of comparison results is improved, but the computational requirements and process complexity increase
Solution Approach 1:
The patent extracts and isolates the critical factors affecting model comparison fairness, separating them from the full complexity of each model's underlying assumptions. By focusing only on the essential parameters that impact fairness, the method reduces computational requirements while maintaining reliability.
Solution Approach 2:
The patent applies partial action by performing comparison analysis on a selected subset of key parameters and scenarios rather than exhaustively analyzing all aspects of each model. This approach achieves sufficient fairness in comparison results while significantly reducing computational resource requirements.
Data Source
AI summary
An apparatus for determining system model comparison is disclosed. The apparatus includes a processor and a memory communicatively linked to the processor. The memory instructs the processor to receive a first plurality of system data, wherein the first plurality of system data represents a first state of a system, and a second plurality of system data representing a second of the system. The memory instructs the processor to generate a first and second model of the system using the system data. The memory instructs the processor to output a first model output using the first model of the system and the second plurality of system data. The memory instructs the processor to modify the second plurality of system data using perturbation function. The memory instructs the processor to output a second model output using the second model of the system and the modified second plurality of system data. The memory instructs a processor to compare the first model output to the second model output using an optimization function. The memory instructs a processor to generate a state change output corresponding to the system using the comparison.