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Both equations are subject to parameter uncertainty.
We establish weak convergence of the process under parameter uncertainty and local alternatives.
To explore parameter uncertainty, we performed both deterministic and probabilistic sensitivity analyses.
This includes systems with both parameter uncertainty and unmodeled dynamics.
The case of time-invariant parameter uncertainty is considered.
The parameter uncertainty is assumed to be norm-bounded.
Here, connection is made through ellipsoidal descriptions of parameter uncertainty.
Parameter uncertainty might here, however, affect optimal system design.
Due to parameter uncertainty, the agents have heterogeneous dynamics.
Parameter uncertainty analysis methods are developed and presented.
Adaptation is resorted to cope with the system parameter uncertainty.
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