The admissibility estimation of σ 2 for general normal distribution was discussed when parameters μ is known and σ 2 unknown. Then the admissibility estimation of the parameters σ 2 was obtained when μ is unknown.
The project practice indicates that the Kalman filter algorithm based on improvement model has the good performance for tracking of maneuvering target,and also improves greatly tracking capability for general nonturning target.
It is shown that for general compact simple Lie groups and arbitrary value of coupling constant λ_0, the equal time current algebra of the two dimensional non-linear a model with Wess-Zumino term is a Kac-Moody algebra with center charge.
In this paper, for general system (1.1), an indirect model reference adaptive control scheme with normalized adaptive laws is considered. We prove that all signals in the closed-loop system are all bounded, and the tracking error satisfies e ∈X(fo+△∞2+△2+△12+d02+).
Original calculation POS X 0 (Y)duplicate degree drop s to O(|A|(|Y 1 | 2 +|Y 2 | 2 +......+|Y n | 2 )),for general big|U|,algorithm efficiency increases,the Attribute Reduction computability is improved.
On the basis of pointing out that some is SPE(C_3,f) graphs are supermagic if f(e_i)=2n,some results of super-magicness and the structure of label sets of the SPE(C_3,f) graph are given for general case so that some conclusions available generalized.
This paper researches the Moore-Penrose inverse f β,γ + of the morphism f weighted with respect to morphisms β and γ in categories, and gives the necessary and sufficient conditions of the existence and expressions of f β,γ + for general morphisms, morphisms with epic-monic factorizations and morphisms with kernels (cokernels) respectively, and extend the result about the Moore-Penrose inverse of the morphisms f weighted with respect to symmetric morphisms β and γ respectively.
The mean square stability and robust stabilization of multiple mode It stochastic systems determined by continuous time Markov chains are investigated, a k th mean stability theorem for general multiple mode It stochastic systems and a mean square stability theorem for the uncertain linear systems are obtained, and a robust stabilization controller for the uncertain linear systems is given.