We also consider how to support uncertain route specification and execution in QM which can occur when imprecise statistics lead to more than one optimal route for a subset of data.
The technical evaluation process involves identification of project objectives, specification of uncertain factors, multi-dimensional sensitivity analysis, and data mining to identify vulnerability-specific scenarios and vulnerability-specific estimations of risk.
An extension to design with limited frequency range specifications for uncertain plants is developed.
This paper deals with designing robust PID controllers for fuzzy parametric uncertain systems to meet desired specification levels for different plants in a family.
If the process system is designed without considering uncertain feedstock compositions, the product specifications could be easily violated.
The synthesized controller with coefficients selected from the obtained non-conservative Kharitonov region can stabilize the concerned uncertain plants and fulfill system specifications in terms of gain margins and phase margins.
Even though we subjected our simulation to prespecified calibration procedures, the results of any simulation may be affected by statistically uncertain or biased inputs, and/or incorrect specification of model structure.
In this paper, an event-triggered Fuzzy adaptive compensation controller is constructed for uncertain stochastic nonlinear systems with given transient specification and actuator failures.
Moreover, the relation between traffic specifications and network state is uncertain.
The mathematical formulation of this basic model, however, involves the specification of some parameters which are still uncertain.
The design is performed in a probabilistic framework where the uncertain parameters are treated as random variables and the design specification is met with a given probability level.
