LMIs in Control/Click here to continue/Controller synthesis/LQ Regulation via H2 Control

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LQ Regulation via H2 Control

Suppose people were interested in quadratic optimal regulation problem, where instead of the Ricatti equation approach (which is traditionally used in such situations), it is approached using LMI's instead (thereby making it a Linear Quadratic (LQ) problem). Such an approach would be possible by converting the LQ problem into a standard problem.

The System[edit | edit source]

Consider, for example, constant linear multi-variable system in the form of:

where

Then the LQ optimal regulation problem for the given system is stated as described below.

The Data[edit | edit source]

In order to obtain the LMI, we need the following 3 matrices: , , , and (the latter two of which are obtained as follows).

The Optimization Problem[edit | edit source]

Using the multi-variable system as described above, we can see that the optimal state feedback controller is obtained where

is minimized where and . However, it is to be noted that in order for the problem to have a solution, two assumptions are made - both of which must be held true at all times:

.

Relating this to performance, let us now consider the auxiliary system:

,

where represents an impulse disturbance, and

Using the state feedback controller and applying it on the above auxiliary system results in the closed-loop system:

,

and the resulting transfer function from disturbance to output being:

thereby resulting in .

The LMI: LQ Regulation via H2 Control[edit | edit source]

From the given pieces of information, and letting the 2 assumptions as described above hold, then there exist matrices , and satisfying:

Conclusion:[edit | edit source]

From the LMI, it can be seen that the state feedback control in the form of (where ) exists such that if and only if the matrices are of the appropriate matrix sizes.

Implementation[edit | edit source]

  • Example Code - A GitHub link that contains code (titled "LQRegH2.m") that demonstrates how this LMI can be implemented using MATLAB-YALMIP.

Related LMIs[edit | edit source]

External Links[edit | edit source]

A list of references documenting and validating the LMI.

Return to Main Page:[edit | edit source]