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A sensitivity analysis of the models was assumed by changing capacity and quality constraints' parameters, the number of placed orders in a year, D/Q.
Considering Favg, fracture and buckling of the structure as constraints, parameters optimization was carried out using the adaptive response surface method (ARS M to gain a higher SEA.
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This paper investigates the adaptive fault-tolerant control problem for a class of continuous-time Markovian jump systems with digital communication constraints, parameter uncertainty, disturbance and actuator faults.
Apart from these three more constraint parameters have been optimized.
Table 1 presents the values of the constraint parameters used in this paper.
The first step in building the model is to define the objective and constraint parameters.
It is shown that all three constraint parameters can be effectively used for obtaining R-curves under low-constraint levels.
The effect of the constraint parameters on the mode localization and veering of natural frequency loci are also examined.
By calculating energy contained in a harmonic wave before and after interacting with the constraint, energy transferred at the constraint is quantified in terms of constraint parameters.
The incidence relation between dynamics and constraint parameters (clearance and constraint stiffness) is studied and some novel results are obtained by double-parameter simulation analysis.
Based on the test results, three constraint parameters (T-stress, Q-stress and A2) were used to derive constraint-dependent R-curves.
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