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Identification of Systems Subject to Random State Disturbance
Some Optimization Problems in the Analysis of Urban and Municipal
A New Criterion for Modelling Systems
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algorithm application approach approximation assume assumption Banach space boundary bounded called closed compact computational condition consider constant constraints contained continuous control problem convergence convex corresponding cost defined definition denote derivative described determined differential direction element equal equation equivalent error estimate example exists expression Figure finite function given gives gradient identification implies inequality initial introduce known linear mapping mathematical matrix means measure method minimize mixture necessary nonlinear normal observed obtained operator optimal control output parameters performance positive possible present probability problem procedure programming Proof properties quadratic random REFERENCES relation Remark respect sampling satisfies sequence shown solution solving space subset sufficient Suppose techniques terminal theorem theory tion transformation unique variables vector zero