We discuss one aspect of the allocation of new scientists to teaching and research careers. In the past, this allocation problem was treated on the basis of a model with kown constant parameters and as a classical open-loop optimal control problem with the allocation ratio as the sole control variable. The utility function in that treatment took both short term and long term goals into account....

We consider a parallel server system that consists of several customer classes and server pools in parallel. We propose a simple robust control policy to minimize the total linear holding and reneging costs. We show that this policy is asymptotically optimal under the many-server heavy traffic regime for parallel server systems when the service times are only server pool dependent and exponenti...

We propose an optimal control approach to robust control design. Our goal is to design a state feedback to stabilize a system under uncertainty. We translate this robust control problem into an optimal control problem of minimizing a cost. Because the uncertainty bound is reeected in the cost, the solution to the optimal control problem is a solution to the robust control problem. Our approach ...

The adaptive robust control (ARC) for DC motors subjected to parametric uncertainties, disturbances and input saturation is considered in this study. To achieve high performance while keeping the control authority within saturation limit, a saturated ARC scheme is proposed. In this scheme, a variable-gain saturation function is introduced for the virtual control law, so that the amplitude of th...

We present a control scheme that does not require exact knowledge of the model of an underwater vehicle while maintaining robustness against both parameter uncertainties and environment disturbances. An important aspect of the proposed control is the relative simplicity of its implementation. To verify the effectiveness of the controller, we use an efficient simulator that takes into account th...

In this paper we deal with robust control of a class of nonlinear systems which contain uncertainties. It can be viewed as an extension of the work in Corless and Leitmann [IEEE Trans. Aurom. Conrrol, AC-Xi, 1139-1144 (1981)] for the cases where the vector of uncertainties is only partially known. To cope with the uncertainties, an adaptive controller using a dead-zone and a hysteresis function...

In this chapter we present a brief description of 1 robust control. We first motivate the use of the 1norm and then show how it is used in formulating a control problem with the objective of minimizing the effect of unknown by bounded disturbances. This leads to formulation of the 1 optimal control problem, for which we present a solution using the Scaled-Q method. We then address the problem o...

this paper deals with the design and evaluation of a robust controller for static var compensator (svc) in remote industrial power systems to enhance the voltage profile for three-phase single cage induction motor (scim) loads. the controller design is based on h∞ theory to deal with uncertainties arising in industrial network modelling. the performance of the h∞ controller has been evaluated e...

The present paper addresses an effective cyber defense model by applying information fusion based game theoretical approaches‎. ‎In the present paper, we are trying to improve previous models by applying stochastic optimal control and robust optimization techniques‎. ‎Jump processes are applied to model different and complex situations in cyber games‎. ‎Applying jump processes we propose some m...