Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...

We investigate the motion of a test particle in a d-dimensional, spherically symmetric and static space-time supported by a mass M plus a Λ-term. The motion is strongly dependent on the sign of Λ. In Schwarzschild-de Sitter (SdS) space-time (Λ > 0), besides the physical singularity at r = 0 there are cases with two horizons and two turning points, one horizon and one turning point and the compl...

this paper proposes a novel technique for solving generation scheduling and ramp rate constrained unit commitment. a modified objective function associated with a new start-up cost term is introduced in this paper. the proposed method is used to solve generating scheduling problem satisfying srr, minimum up and down time as well as ramp rate constraints. two case studies are conducted to implem...

background: disease-modifying drugs (dmds) are a significant expenditure for treating multiple sclerosis (ms). however, there is limited report on assessment of the cost-utility of dmds compared with symptom management in the presence of long-term data. this study aimed to assess the lifetime cost-utility from the iranian healthcare perspectives of 4dmds relative to symptom management alone in ...

This paper addresses the design of a nonlinear time-invariant, dynamic state feedback receding horizon controller, which guarantees constraint satisfaction, robust stability and offset-free control of constrained, linear time-invariant systems in the presence of time-varying setpoints and unmeasured, persistent, additive disturbances. First, this objective is obtained by designing a dynamic, li...

This article provides importance sampling algorithms for computing the probabilities of various types ruin of spectrally negative Lévy risk processes, which are ruin over the infinite time horizon, ruin within a finite time horizon and ruin past a finite time horizon. For the special case of the compound Poisson process perturbed by diffusion, algorithms for computing probabilities of ruins by ...

This paper addresses the design of a dynamic, nonlinear, time-invariant, state feedback controller that guarantees constraint satisfaction and offset-free control in the presence of unmeasured, persistent, non-stationary, additive disturbances. First, this objective is obtained by designing a dynamic, linear, time-invariant, offset-free controller, and an appropriate domain of attraction for th...