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Connors et al. (2014) used a similar approach (the same computer code with a more general forward model and constraints) to deduce parameters for the substorm current wedge, using data from the North American region, and compare them to those inferred using an independent space-based dataset.
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Several model and constraint consistency issues arise in practice.
We also describe a software tool that we developed, Model & Constraint Consistency Checker (MC), which performs model and constraint consistency checking.
This paper can be of great benefit to users that wish to implement their own model and constraint consistency checks.
While some model issues have been documented [ 19], there is currently no standalone computational tool that ensures model and constraint consistency.
We present MC, Model and Constraint Consistency Checker, a computational tool that can be used for two purposes: (a) identifying potential connectivity and topological issues for a given stoichiometric matrix, S, and (b) flagging issues that arise during constraint-based optimization.
Despite the availability of literature coverage of some of the issues described in the previous section, there is clearly a need to develop a computational tool to perform model and constraint consistency checking in a comprehensive, and standalone way.
This involves crystallization experiments and development of property models and constraints for morphology.
Chemical engineering problems are characterized by nonlinear models and constraints on the states.
In the following, we described the problem as well as proposed models and constraints based on assumptions.
On the high level, the measured responses are used to update the system models and constraints that are used in the optimization for the next control signal.
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