# LMIs in Control/pages/TDSDC

## The System

The problem is to check the stability of the following linear time-delay system on a delay dependent condition

{\begin{aligned}{\begin{cases}{\dot {x}}(t)&=Ax(t)+A_{d}x(t-d)\\x(t)&=\phi (t),t\in [-d,0],0 where

{\begin{aligned}{A,A_{d}}\in \mathbb {R} ^{n\times n},A\in \mathbb {R} ^{n\times r}{\text{ are the system coefficient matrices,}}\\\end{aligned}} $\phi (t)$ is the initial condition
$d$ represents the time-delay
${\bar {d}}$ is a known upper-bound of $d$ For the purpose of the delay dependent system we rewrite the system as

${\begin{cases}{\dot {x}}(t)&=Ax(t)+A_{d}x(t-d)\\{\dot {x}}(t)&=(A+A_{d})x(t)-A_{d}(x(t)-x(t-d)\end{cases}}$ ## The Data

The matrices $A,A_{d}$ are known

## The LMI: The Time-Delay systems (Delay Dependent Condition)

From the given pieces of information, it is clear that the optimization problem only has a solution if there exists a symmetric positive definite matrix
$X$ and a scalar $0<\beta <1$ such that

${\begin{bmatrix}\Phi (X)&{\bar {d}}XA^{T}&{\bar {d}}XA_{d}^{T}\\{\bar {d}}AX&-d\beta I&0\\{\bar {d}}A_{d}X&0&-{\bar {d}}(1-\beta )I\end{bmatrix}}$ {\begin{aligned}<0\end{aligned}} Here $\Phi (X)=X)A+A_{d})^{T}+(A+A_{d})X+{\bar {d}}A_{d}A_{d}^{T}<0$ This LMI has been derived from the Lyapunov function for the system. It follows that the system is asymptotically stable if

$P(A+A_{d})+(A+A_{d})^{T}P+{\bar {d}}PA_{d}A_{d}^{T}P+{\frac {\bar {d}}{\beta }}A^{T}A+{\frac {\bar {d}}{1-\beta }}A_{d}^{T}A_{d}<0$ This is obtained by replacing $X$ with $P^{-1}$ ## Conclusion:

We can now implement these LMIs to do stability analysis for a Time delay system on the delay dependent condition

## Implementation

The implementation of the above LMI can be seen here

## Related LMIs

Time Delay systems (Delay Independent Condition)