This paper presents a new approach of the boundary parameter identification of adiffusion system.The system model is governed by a two-dimensional parabolic problem,which involves an unknown boundary parameter.Identif...This paper presents a new approach of the boundary parameter identification of adiffusion system.The system model is governed by a two-dimensional parabolic problem,which involves an unknown boundary parameter.Identifiability of the boundary parameterand the new approach are discussed briefly,which show that the new approach can overcomenot only the ill-posedness of the nonlinear output least square method but also the difficultyof numerical computation of the nonlinear output least square estimate due to the existenceof the local minima of the performance functional,Finally,some numerical examples aregiven.展开更多
<正> The synthetic generalized predictive adaptive algorithm has been greatly developed recently. This paper establishes some global stability and convergence results for the algorithm with a strict proof.
In this paper, the author considers the generalized dilations of operator sequences in a Hilbert space to a Krein space. In order to obtain the unitary and solf-adjoint dilations, only some boundedness and symmetry as...In this paper, the author considers the generalized dilations of operator sequences in a Hilbert space to a Krein space. In order to obtain the unitary and solf-adjoint dilations, only some boundedness and symmetry assumptions are needed.展开更多
基金This research was supported by National Natural Science Foundation of China
文摘This paper presents a new approach of the boundary parameter identification of adiffusion system.The system model is governed by a two-dimensional parabolic problem,which involves an unknown boundary parameter.Identifiability of the boundary parameterand the new approach are discussed briefly,which show that the new approach can overcomenot only the ill-posedness of the nonlinear output least square method but also the difficultyof numerical computation of the nonlinear output least square estimate due to the existenceof the local minima of the performance functional,Finally,some numerical examples aregiven.
基金Project supported by the National Natural Science Foundation of China
文摘<正> The synthetic generalized predictive adaptive algorithm has been greatly developed recently. This paper establishes some global stability and convergence results for the algorithm with a strict proof.
文摘In this paper, the author considers the generalized dilations of operator sequences in a Hilbert space to a Krein space. In order to obtain the unitary and solf-adjoint dilations, only some boundedness and symmetry assumptions are needed.
