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Collectively, the examples demonstrate that this system identification methodology accurately identifies system parameters over portions of the frequency range of interest.
This approach falls within the framework Hilborn (2007b) used to suggest the 'zone of new consensus,' where one identifies system states that are desirable both to environmentalists and commercial fishers.
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The chapter also identifies system-level modeling goals, basic models and domains, and constructs composite models.
With confidentiality protections, more information would be reported and used to identify system changes that would lead to a safer health care system.
First, identify system components.
A characterization study is conducted to identify system parameters.
For the identified system, stability analysis was conducted.
Ounce Labs develops source code scanning software designed to identify system vulnerabilities throughout the software development cycle.
Ng and Kantor [26] identify system features that can help predict whether fusion will be beneficial.
State space form of the identified system is very convenient for estimation, prediction, and control [6].
The analysis helps in identifying system deficiencies, evaluating improvements, and enables cost-versus effectiveness comparisons.
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