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Norms and Singular Values

R2026b

For MIMO systems the transfer functions are matrices, and relevant measures of gain are determined by singular values, H∞, and H2 norms, which are defined as follows:

H2 and H∞ Norms

The H2-norm is the energy of the impulse response of plant G. The H∞-norm is the peak gain of G across all frequencies and all input directions.

Another important concept is the notion of singular values.

Singular Values:

The singular values of a rank r matrix A∈Cm×n, denoted σi, are the nonnegative square roots of the eigenvalues of A*A ordered such that σ1 ≥ σ2 ≥ ... ≥σp > 0, p ≤ min{m, n}.

If r < p then there are p – r zero singular values, i.e., σr+1 = σr+2 = ... =σp = 0.

The greatest singular value σ1 is sometimes denoted

σ¯(A)≜σ1.

When A is a square n-by-n matrix, then the nth singular value (i.e., the least singular value) is denoted

σ¯(A)≜σn.

Properties of Singular Values

Some useful properties of singular values are:

σ¯(A)=maxx∈Ch‖Ax‖‖x‖σ¯(A)=minx∈Ch‖Ax‖‖x‖

These properties are especially important because they establish that the greatest and least singular values of a matrix A are the maximal and minimal "gains" of the matrix as the input vector x varies over all possible directions.

For stable continuous-time LTI systems G(s), the H2-norm and the H∞-norms are defined terms of the frequency-dependent singular values of G(jω):

H2-norm:

‖G‖2≜[12π]∫−∞∞∑i=1p(σi(G(jω)))2dω

H∞-norm:

‖G‖∞≜supωσ¯(G(jω))

where sup denotes the least upper bound. For more information about these quantities, see Interpretation of H2 and H-Infinity Norms.

See Also

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