In this paper we propose an efficient computation approach to minimize the H-infinity-norm of a transfer-function matrix depending affinely on a set of free parameters. The minimization problem, formulated as a semi-infinite convex programming problem, is solved via a relaxation approach over a ...
Fast Algorithms for Solving H-infinity-Norm Minimization Problems In this paper we propose an efficient computation approach to minimize the H-infinity-norm of a transfer-function matrix depending affinely on a set of free parameters. The minimization problem, formulated as a semi-infinite convex pro...
1.Dim Moving Target Detection Based on Infinite Norm of the Discontinuous Framed Difference Vector基于隔帧差分向量无穷范数的运动弱小目标的检测 2.A CRITICAL CONDITION FOR THE MATRIX TO BE AN H-MATRICES AND THE INFINITE NORM ESTIMATION FOR THE INVERSEOF A CLASS OF REAL MATRIX非奇异H矩阵的一个判定...
Based on the H-inflnity control theory, we consider an aeroelastic system a multiple-input and multiple-output (MIMO) system, and derive its transfer function matrix. The H-infinity-norm of this transfer matrix will approach to infinity near the critical flutter point. Using this unique ...
DFDESIGN_W computes the H-infinity optimal inverse filter of a given filter phi(z). The resulting filter psi(z) minimizes the H-infinity norm of the error system E_w(z) = [z^(-d) - psi(z)phi(z)]w(z). If an error occurs, use "dfdesign_w_lmi.m". ...
The type(x, pos_infinity) function returns true if x is a positive real_infinity. • The type(x, neg_infinity) function returns true if x is a negative real_infinity. • The type(x, SymbolicInfinity) function returns true if x is either 1. of type infinity 2. a product with...
Suppose in addition that S is a non-compact locally compact Hausdorff space. The space C0(S) of all those continuous complex-valued functions on S which vanish at infinity is a norm-closed subalgebra of lcℂ(S), and hence a commutative Banach algebra in its own right under the supremum...
To overcome the issue related to the definition of the G-norm, we introduce auxiliary variables that naturally emerge from the Helmholtz-Hodge decomposition for smooth fields, which yields to the minimization of the L-infinity-norm of the gradients of the new unknowns. This constrained ...
-norm. By definition, -norm of is Strictly speaking, -norm is not actually a norm. It is a cardinality function which has its definition in the form of -norm, though many people call it a norm. It is a bit tricky to work with because there is a presence of zeroth-power and zeroth...
CONFIDENCE.NORM Syntax:CONFIDENCE.NORM(alpha, standard_deviation, pop_size) Explanation:Calculates the width of half the confidence interval for a normal distribution. CONFIDENCE.T Syntax:CONFIDENCE.T(alpha, standard_deviation, size) Explanation:Calculates the width of half the confidence interval for ...