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In this paper, we propose a new class of random finite set (RFS), which is the union of a group of Bernoulli RFSs with unknown level of correlation, whose statistics are considered jointly. The proposed RFS is referred to as joint multi-Bernoulli (JMB) RFS defined by a set of parameters. As a preliminary study, this paper provides the derivations of set density, set marginal density of JMB RFS family,...
Supply chain inventory optimization problem under uncertain environment is concerned. Fuzzy chance constrained programming model for multi-item joint replenishment is proposed, which can take into account fuzzy demand quantity, as well as the constrained conditions are not satisfied to a certain degree. Demand quantity is a triangular fuzzy number, combined with the possibility measure theory. The...
Theoretically, the operational space control framework can be regarded to be the most advanced control framework for redundant robots. However, in practice, the control performance of this framework is significantly degraded in the presence of model uncertainties and discretizing effects. Using the singular perturbation theory, this paper shows that the same model uncertainties can create different...
The model-based control of robotic manipulators relies on an exact model of the manipulator. Redundantly actuated PKM posses the ability to exhibit internal prestress that does not affect its environment. This allows for a purposeful distribution of control forces, taking into account secondary tasks, such optimal force distribution, active stiffness, and backlash avoiding control. In the presence...
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