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Titlebook: System Modelling and Optimization; Proceedings of the 1 Masao Iri,Keiji Yajima Conference proceedings 1988 Springer-Verlag London 1988 Sess

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0170-8643 Modelling and Optimization, Tokyo, Japan, August 31 - September 4, 1987, as well as 4 papers for the plenary sessions of the Conference. The aim of the conference was to discuss recent advances in the mathematical representation of engineering, sociotechnical, socioeconomic systems as well as in the
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Conference proceedings 1988and Optimization, Tokyo, Japan, August 31 - September 4, 1987, as well as 4 papers for the plenary sessions of the Conference. The aim of the conference was to discuss recent advances in the mathematical representation of engineering, sociotechnical, socioeconomic systems as well as in the optimizat
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Solving slp recourse problems: The case of stochastic technology matrix, RHS & objective,ight-hand side and objective, using supporting functions. It will turn out that this approach is equivalent to the one discretizing the distributions by applying Jensen‘s and (generalized) Edmundson-Madansky‘s inequality — having been first outlined in [13]. Monotonicity and convergence will be prov
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Identification of linear discrete-time stochastic system using covariance information,as the random input with the white Gaussian property. The variance of the white Gaussian input and the autocovariance function of the signal are assumed to be known. The linear time-variant system is identified by these covariance information.
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Optimum state estimation using a new class of robust doubly optimized recursive estimators,oise due to input observation noise and roundoff noise due to rounding after arithmetic operations. The doubly optimized estimators obtained show very favourable performances in cases of decreased levels of input observation noise, comparad with those which we adopted during estimator design. Furthe
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