1,721,016 research outputs found

    Hedging point policies remain optimal under limited backlog and inventory space

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    In this note, we consider a fluid flow, single part-type, single unreliable machine production system with a bounded backlog/inventory space. We prove that, as in the unbounded case, the problem of minimizing an infinite horizon average demand loss/backlog/surplus cost is solved by a hedging point policy. An implicit equation is given, whose structure easily allows to numerically evaluate the optimal safety stock. The effect of system parameters on the optimal safety stock is analyzed and some numerical examples illustrate the presented results

    Asymptotic stabilization of a class of continuous-time linear periodic systems

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    In this paper, the problem of the asymptotic stabilization of a class of continuous-time linear periodic systems is considered. First, under a simplifying assumption, necessary conditions, involving the concept of left eigenvector, are derived for the asymptotic stabilization of continuous-time linear periodic systems belonging to such a class. Then, under the same simplifying assumption, conditions are given under which a static state feedback control law can be designed, in an iterative manner, so that the closed-loop system is p-stable

    Cooperative and competitive negotiation in a supply chain model

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    We present a negotiation paradigm for a simple Supply Chain (SC) model, to improve the performances in terms of bullwhip effect reduction, under a cooperative and a competitive scenario. In the case of a single frequency perturbation in the nominal demand, analytical results showed that cooperation among the sites is beneficial for the SC performances. In the case of multiple frequency perturbations this has been described through numerical examples, which confirm the analytical findings of the single frequency case

    Nonlinear map inversion via state observers

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    This paper deals with the problem of the inversion of nonlinear maps. The first contribution of the paper is the formal definition of some problems, already present in the literature, related to the inversion of nonlinear maps. The main contribution of the paper gives a unified solution to those problems, based on the use of observers for the state estimation of a nonlinear time-varying dynamical system associated with the given map. The proposed observer turns out to be an extension of well-known iterative methods for the solutions of nonlinear equations, such as the Newton and the gradient method. © 1994 Birkhäuser

    Use of observers for the inversion of nonlinear maps

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    In this paper we deal with the problem of the inversion of nonlinear maps. The first contribution of the paper is the definition, in a formal framework, of some problems related to map inversion, which are already present in the literature, for instance in the robotics area and in observer theory. The second and the main contribution consists in the solution of such problems by means of observers, for which some structures are proposed, for the state estimation of a time-varying nonlinear system associated with the given map and reference trajectory. © 1991

    A solution to the generalized problem of nonlinear map inversion

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    This paper deals with the generalization of some problems related to map inversion. Solutions of such problems are proposed by means of observers, for which a structure is proposed. © 1991

    State estimation in robotic manipulators: Some experimental results

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    A simple asymptotic observer is proposed for the estimation of the generalized veocities of a robotic manipulator. The singular perturbation theory is used in the stability analysis of the error dynamics. High-gains are used in the attenuation of the nonlinearities characterizing the dynamic behaviour of the robot. The accuracy of the proposed algorithm is illustrated in simulation runs and verified through some experimental tests. © 1993 Kluwer Academic Publishers
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