Due to the fact that it is difficult to estimate the independent and dependent failure rates, industries are interested in considering uncertain failure rates.
In GFLT, system components' uncertain failure and repair rates are fuzzified using fuzzy numbers having different shapes such as triangular, normal, cauchy, sharp gamma and trapezoidal.
Survival analysis method can effectively solve uncertain failure time interval problems under the mechanism of censored data on subway vehicles, in order to get more reasonable results of reliability analysis.
Finally, a Bayesian post-processor SS+ for the original SS method is developed where the uncertain failure probability that one is estimating is modeled as a stochastic variable whose possible values belong to the unit interval.
This paper presents adaptive actuator failure compensation for a cooperating multiple manipulator system with uncertain actuator failures in the task space.
Simulation results from the attitude control of a near space vehicle dynamic model in the presence of uncertain actuator failures are presented to show the desired adaptive actuator failure compensation performance.
Two key technical issues are associated with using redundant actuators: how to coordinate redundant actuators for effective feedback control, and how to adaptively compensate uncertain actuator failures.
