Analytical solution of Discrete-time Algebraic Riccati Equation

In summary, the conversation discusses solving for X in the DARE (Discrete-time Algebraic Riccati Equation) using analytical methods. The given A matrix is diagonal and the B matrix is in MATLAB notation. The DARE equation is provided and the poster mentions trying to use the Hamiltonian/Sympletic matrix but is unsure of how to proceed.
  • #1
wavingerwin
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Homework Statement


Solve for [itex]X[/itex] in the DARE (Discrete-time Algebraic Riccati Equation) analytically. A is diagonal [itex]A = [-a\;0; 0 \;a][/itex], and [itex]B = [b; 0][/itex] (in MATLAB notation).

Any help is very much appreciated!

Homework Equations


The DARE is given as
[itex]A'XA - X - (A'PB+S)(B'XB+R)^{-1}(A'XB+S)' + Q = 0[/itex]

The Attempt at a Solution


I have tried looking and reading and the closest I get is to utilise the Hamiltonian / Sympletic matrix. However, I have no clue in proceeding forward.
 
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  • #2
Thanks for the post! Sorry you aren't generating responses at the moment. Do you have any further information, come to any new conclusions or is it possible to reword the post?
 

FAQ: Analytical solution of Discrete-time Algebraic Riccati Equation

What is the Discrete-time Algebraic Riccati Equation (DARE)?

The DARE is a mathematical equation that describes the optimal control problem for a discrete-time system. It is used to determine the best control strategy for a given system, taking into account both the dynamics of the system and the costs associated with different control actions.

What is the importance of solving the DARE analytically?

Solving the DARE analytically allows for a closed-form solution, meaning that the control strategy can be expressed as a function of the system's state and parameters. This makes it easier to implement the control strategy and also provides insight into the system's behavior.

What are the steps for analytically solving the DARE?

The steps for analytically solving the DARE include transforming the equation into a standard form, solving for the Riccati matrix, and then using the Riccati matrix to calculate the optimal control strategy. The final step is to verify the solution and ensure that it satisfies the necessary conditions for optimality.

What are the assumptions made in the analytical solution of the DARE?

The analytical solution of the DARE assumes that the system is linear, time-invariant, and has a quadratic cost function. It also assumes that the system is fully observable and controllable, and that the initial state is known.

What are the limitations of the analytical solution of the DARE?

The analytical solution of the DARE is only valid for linear systems with a quadratic cost function. It also requires knowledge of the system's dynamics and parameters, which may not always be available. Additionally, the solution may not be feasible or optimal in certain cases, and numerical methods may be required instead.

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