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Stochastic robustness
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Marrison, C. |
| Copyright Year | 1991 |
| Description | To carry out stochastic robustness analysis, an expected probability distribution is assigned to each uncertain parameter in the system. The Monte Carlo analysis proceeds by repeatedly assigning shaped random values to each plant parameter, evaluating the stability of performance metric, and performing the binary classification (stable/unstable, etc.). If the system is stable, the state response to a unit disturbance impulse can be propagated to establish whether the response would violate settling time envelopes and whether peak actuator use would violate predetermined maximums. The final estimates of the probability of each form of unacceptable behavior are found by dividing the number of cases in which the overall system had that form of unacceptability by the number of cases run. Stability robustness can be portrayed graphically using the stochastic root locus and by using histograms of parameter values found in the unacceptable cases. |
| File Size | 395081 |
| Page Count | 14 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920008755 |
| Archival Resource Key | ark:/13960/t38100r5q |
| Language | English |
| Publisher Date | 1991-12-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Stability And Control Histograms Actuators Robustness Mathematics Stability Stochastic Processes Probability Theory Binary Data Monte Carlo Method Estimates Loci Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
