Exact expression of ultimate time survival probability in homogeneous discrete-time risk model

Dynamics of a discrete-time plant-herbivore model

Optimal Finite-time Control of Positive Linear Discrete-time Systems

This paper considers solving optimization problem for linear discrete time systems such that closed-loop discrete-time system is positive (i.e., all of its state variables have non-negative values) and also finite-time stable. For this purpose, by considering a quadratic cost function, an optimal controller is designed such that in addition to minimizing the cost function, the positivity proper...

Arrival probability in the stochastic networks with an established discrete time Markov chain

The probable lack of some arcs and nodes in the stochastic networks is considered in this paper, and its effect is shown as the arrival probability from a given source node to a given sink node. A discrete time Markov chain with an absorbing state is established in a directed acyclic network. Then, the probability of transition from the initial state to the absorbing state is computed. It is as...

optimal joint survival probability of xl reinsurance contracts in iran insurance company

اگر تنها یک صنعت جهت حفظ تعادل در بازار جهانی ضروری باشد، می توان ادعا نمود که آن صنعت بیمه است. صنعت بیمه بدون کمک صنعت بیمه اتکایی قادر به انجام وظیفه خویش نخواهد بود. اکثر تحقیقات انجام گرفته در زمینه بیمه اتکایی تنها با در نظر گرفتن منافع شرکت بیمه شده بوده است و منافع شرکت بیمه گر اتکایی کمتر مورد توجه بوده است. در این رساله با در نظر گرفتن منافع همزمان هر دو شرکت بیمه گذار اصلی و بیمه گر ...

FINITE-TIME PASSIVITY OF DISCRETE-TIME T-S FUZZY NEURAL NETWORKS WITH TIME-VARYING DELAYS

This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...