Machine tools with gimbal heads continuously rotate and/or pivot their spindle heads to maintain the required relationship between the tool and the surface being cut. This results in orientation-dependent dynamic behavior at the tool-center-point, which further results in orientation-dependent machining stability of the system, potentially limiting productivity during continuous cutting. A dyna...

We consider stochastic discrete-time systems with multiplicative noise which are controlled by dynamic output feedback and subjected to blockdiagonal stochastic parameter perturbations. Stability radii for these systems are characterized via scaling techniques and it is shown that for real data, the real and the complex stability radii coincide. In a second part of the paper we investigate the ...

For multiclass queueing networks, dispatch policies govern the assignment of servers to the jobs they process. Production policies perform the analogous task for queueing networks whose servers are subject to switch-over delays or setups, a model we refer to as setup networks. It is well known that a poorly chosen dispatch policy may lead to instability of a multiclass queueing network, even wh...

I study the existence of Nash-stable and individually stable coalition structures in hedonic coalition formation games, where a coalition structure is a partition of the players, and players strictly rank the coalitions to which they belong. The hedonic coalition formation game in which all coalitions are feasible is viewed as a general model, and more specific models, such as the marriage and ...

The geometric constraint enforcement using Lagrange Multipliers is one of the popular methods to control the behavior and trajectories of dynamically simulated entities. Therefore, effective and efficient enforcement and proper integration of the geometric constraints is the key to a successful constraint management. This paper describes the formulation and integration of geometric constraints ...

The stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks. This paper suggests adaptive gradient descent algorithm with stable learning laws for modified dynamic neural network (MDNN) and studies the stability of this algorithm. Also, stable learning algorithm for parameters of ...

This paper deals with the effect of the intrinsic material length-scale parameter on the stability and natural frequency of a rectangular micro-plate for two different cases; fully clamped and fully simply supported. A variational formulation based on Hamilton’s principle and the modified couple stress theory is used to obtain the nonlinear governing equation of a micro-plate incorporating the ...