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dare

Solve discrete-time algebraic Riccati equations (DARE)

Syntax

Description

[X,L,G] = dare(A,B,Q,R) computes the unique stabilizing solution X of the discrete-time algebraic Riccati equation

The dare function also returns the gain matrix, , and the vector L of closed loop eigenvalues, where

[X,L,G] = dare(A,B,Q,R,S,E) solves the more general discrete-time algebraic Riccati equation,

or, equivalently, if R is nonsingular,

where . When omitted, R, S, and E are set to the default values R=I, S=0, and E=I.

The dare function returns the corresponding gain matrix

and a vector L of closed-loop eigenvalues, where

[X,L,G,report] = dare(A,B,Q,...) returns a diagnosis report with value:

[X1,X2,L,report] = dare(A,B,Q,...,'factor') returns two matrices, X1 and X2, and a diagonal scaling matrix D such that X = D*(X2/X1)*D. The vector L contains the closed-loop eigenvalues. All outputs are empty when the associated Symplectic matrix has eigenvalues on the unit circle.

Algorithm

dare implements the algorithms described in [1]. It uses the QZ algorithm to deflate the extended symplectic pencil and compute its stable invariant subspace.

Limitations

The pair must be stabilizable (that is, all eigenvalues of outside the unit disk must be controllable). In addition, the associated symplectic pencil must have no eigenvalue on the unit circle. Sufficient conditions for this to hold are detectable when and , or

References

[1] Arnold, W.F., III and A.J. Laub, "Generalized Eigenproblem Algorithms and Software for Algebraic Riccati Equations," Proc. IEEE, 72 (1984), pp. 1746-1754.

See Also
care        Solve continuous-time algebraic Riccati equations

dlyap       Solve discrete-time Lyapunov equations

gdare       Solve generalized discrete-time algebraic Riccati equations


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