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Discrete-Time H2 Norm 

A discrete time system operates on a discrete time signal input and produces a discrete time signal output. They are used in digital signal processing, such as digital filters for images or sound. The class of discrete time systems that are both linear and time invariant, known as discrete time LTI systems.

Discrete-Time LTI systems' H2 norm can be found by solving a LMI.

The System
Discrete-Time LTI System with state space realization $$(A_d,B_d,C_d,0)$$ $$ \begin{align} A_d \in \bf{R^{n*n}}, \ B_d \in \bf{R^{n*m}}, \ C_d \in \bf{R^{p*n}} \end{align}$$

The Data
The matrices: System $$ (A_d,B_d,C_d,0), P, Z $$.

The Optimization Problem
The following feasibility problem should be optimized:

$$ \mu $$ is minimized while obeying the LMI constraints.

The LMI:
Discrete-Time Bounded Real Lemma

The LMI formulation

H2 norm < $$\mu$$

$$ \begin{align} P \in {S^{n}}; Z \in {S^{p}}; \mu \in {R_{>0}} \;\\ &P>0, &Z>0\\ \begin{bmatrix}P & A_dP & B_d\\
 * & P & 0\\
 * & * & I\end{bmatrix}&>0,\\

\begin{bmatrix}Z & C_dP\\
 * & P\end{bmatrix}&>0,\\

trZ<\mu ^2

\end{align}$$

Conclusion:
The H2 norm is the minimum value of $$ \mu \in {R_{>0}} $$that satisfies the LMI condition.

Related LMIs
- Continuous time H2 norm.