The use of Riccati equations in optimal control theory

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SUMMARY

The discussion centers on the application of matrix Riccati equations in optimal control theory, specifically in the context of linear control systems represented by the equations ##\dot{x}=Ax+Bu## and ##\dot{u}=Cx+Du##. It is established that rewriting these equations in matrix form allows for the use of diagonalization techniques to solve for the state variables x and u. This approach enhances accessibility to mathematical solutions and is recognized as a standard method in optimal control analysis. A relevant review paper is also suggested for further reading.

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  • Review the suggested paper on matrix Riccati equations for deeper insights
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John Finn
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I know that linear control theory, in the form ##\dot{x}=Ax+Bu##, ##\dot{u}=Cx+Du##, can be put in the form of a matrix Riccati equation. But is there really an advantage to doing so?
 
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John Finn said:
I know that linear control theory, in the form ##\dot{x}=Ax+Bu##, ##\dot{u}=Cx+Du##, can be put in the form of a matrix Riccati equation. But is there really an advantage to doing so?
I don't know anything about linear control theory or matrix Riccati equations, but the above looks like linear algebra as it relates to systems of differential equations, which I do know something about.
Assuming A, B, C, and D are constants, the two equations above can be rewritten in this form:
##\begin{bmatrix}\dot x \\ \dot u \end{bmatrix} = \begin{bmatrix}A & B \\ C & D \end{bmatrix}\begin{bmatrix} x \\ u \end{bmatrix}##

The advantage of writing the system in this form is that this matrix differential equation can be solved for x and u by diagonalizing the 2 x 2 matrix I wrote using standard techniques.
 

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