In the last two decades, Chaos theory has received a great deal of attention from the cryptographic community. This paper presents two ideas. First idea is using chaotic functions to overcome the weaknesses of the cla...
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We extend the prepare-and-measure frequency-time coding quantum key distribution (FT-QKD) protocol to an entanglement based FT-QKD protocol. The latter can be implemented with a correlated frequency measurement scheme...
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In this paper,H∞ filtering problem is studied for Fractional Order Systems(FOSs).Based on the extended real lemma,H∞ constraint and Lyapunov stability conditions are formulated by an Linear Matrix Inequalities(LMI)....
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In this paper,H∞ filtering problem is studied for Fractional Order Systems(FOSs).Based on the extended real lemma,H∞ constraint and Lyapunov stability conditions are formulated by an Linear Matrix Inequalities(LMI).Using some manipulations on LMI,solvability and existence conditions of the H∞filter is given in the LMI form,and it will be seen that numerical
Recently as the incidences of terrorism and crime increase, the utilization of video surveillance system such as CCTV is increased. The increase of video surveillance system is useful in maintaining the safety of peop...
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The paper presents a new modeling framework enabling to evaluate the cyclic steady state of a given system of concurrently flowing cyclic processes (SCCP) on the base of the assumed topology of transportation routes, ...
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An exact knowledge of delay is crucial to control and synchronize a time-delayed system. In this paper, a least square based so-called Vector Fitting method is developed to identify parameters of a time-delayed system...
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Abstract A fundamental quantity of the solution of an optimal control problem is the value function, i.e., the optimal cost-to-go function. In the general case, the function is not known exactly, but need to be approx...
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Abstract A fundamental quantity of the solution of an optimal control problem is the value function, i.e., the optimal cost-to-go function. In the general case, the function is not known exactly, but need to be approximated numerically. Most approaches to numerical approximation of the value function follow a procedure of three steps: first, the original continuous problem formulation is fully discretized; second, the discretized finite optimal control problem is solved by a shortest-path algorithm, and as third step, the solution is projected back from the finite space onto the continuous state space by using an interpolating function. This paper investigates the differences of discretization schemes and interpolating functions in this context. The performance of the computed approximations is evaluated in terms of an a-posteriori error, which is obtained from the approximating value functions. The convergence of the approximations to the true value function is proved for all considered schemes for the case that the discretization parameters are decreased to zero.
This paper presents the results obtained by visual predictive control laws in real-time visual servoing architectures. A key role when designing a stable image based control law is played by the visual features, and t...
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This paper presents the robust of Sliding Mode controller according to parameters change and worst signal noise. Mathematical procedure for calculating the values of the gains of Sliding Mode controller (SMC) and equa...
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To bridge the gap between insufficiency of existing proximity authentication solutions and the increasing demand of high security guarantee for access control systems, we develope a WISP-based access control system co...
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