Exact(4)
The discretization is achieved by using basis functions in the spatial and random spaces.
By using basis dependent Lyapunov function, a sufficient condition is provided to ensure the stability of the filtering error system and to guarantee a given H∞ performance level.
By using basis functions of degree 3 and due to the simple geometry mappings, the exact solution u is in V h.
The object function 𝒪 x, y) is represented parametrically, so instead of using a dense collection of pixel or voxel values [ 22], we represent it by using basis functions (8) 𝒪 (r, ) = ∑ i = 1 L κ i ψ i (β i ‖ r − r i ‖ ) where κ i's are the weight coefficients whereas ψ i(x, y) are the functions which belong to the basis set of 𝒫 = { ψ1, ψ2,..., ψ L}.
Similar(56)
By using basis-dependent Lyapunov functions, sufficient conditions for the solvability of this problem are obtained.
By using basis-dependent Lyapunov Krasovskii function, a robust control design approach is developed.
By using basis-dependent Lyapunov function, an H∞ control design approach is developed.
For multicomponent vibration signals, this paper proposes a new vibration signal component separation approach by iteratively using basis pursuit.
Content organization is further enhanced with tag annotations that can be set in a category-independent manner, motivating a classification-by-use basis [52].
The improvement is achieved by using radial basis functions called osculatory radial basis functions.
So, we can approximate the functions by using this basis.
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