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We have studied the problem of static competitive routing to parallel queues with polynomial link holding costs. We have established the uniqueness of the NE for a general topology with the BPR cost [22] and have obtained a simple relationship with the globally optimal solution. We have further obtained some explicit results for the special case of affine(More)
The problem of state reconstruction from input and output measurements for nonlinear time delay systems is studied in this paper and a state observer is proposed that is easy to implement and, under suitable assumptions on the system and on the input function, gives exponential observation error decay. The proposed observer is itself a delay system and can(More)
MRE numerical algorithm and its steady-state solution under particular conditions. A full explanation of this trend is difficult, because of the complexity of the data association process built in the MSPDA algorithm , but one explanation would be that processing the best sensor last improves tracking performance of the sensor system as a whole. Analyses(More)
This paper explores the possibility of using an asymptotic state observer for the real-time reconstruction of insulin blood concentration in an individual by using only measurements of the glucose blood concentration. The interest in this topic relies on the fact that the glucose measurements are much more economical and faster then the insulin(More)
In previous papers the authors presented an elementary theory for feedback control of nonlinear delay systems, in which methods of standard nonlinear analysis were used to solve control problems such as output regulation and tracking, disturbance decoupling and model matching for a class of nonlinear delay systems. Output control was obtained by means of(More)
In this paper an approximation scheme is developed for the solution of the linear quadratic Gaussian (LQG) control on a finite time interval for hereditary systems with multiple noncommensurate delays and distributed delay. The solution here proposed is achieved by means of two approximating subspaces: the first one to approximate the Riccati equation for(More)
—This note investigates the problem of state estimation for bi-linear stochastic multivariable differential systems in presence of an additional disturbance, whose statistics are completely unknown. A linear filter is proposed, based on a suitable decomposition of the state of the bilinear system into two components. The first one is a computable function(More)