LMIs in Control/Stability Analysis/Continuous Time/Hurwitz Stabilizability

This section studies the stabilizability properties of the control systems.

The System edit

Given a state-space representation of a linear system

 

Where   represents the differential operator ( when the system is continuous-time) or one-step forward shift operator ( Discrete-Time system).   are the state, output and input vectors respectively.

The Data edit

  are system matrices.

Definition edit

The system , or the matrix pair   is Hurwitz Stabilizable if there exists a real matrix   such that   is Hurwitz Stable. The condition for Hurwitz Stabilizability of a given matrix pair (A,B) is given by the PBH criterion:

 

 

 

 

 

(1)

The PBH criterion shows that the system is Hurwitz stabilizable if all uncontrollable modes are Hurwitz stable.

LMI Condition edit

The system, or matrix pair   is Hurwitz stabilizable if and only if there exists symmetric positive definite matrix   and   such that:

 

 

 

 

 

(2)

Following definition of Hurwitz Stabilizability and Lyapunov Stability theory, the PBH criterion is true if and only if , a matrix   and a matrix   satisfying:

 

 

 

 

 

(3)

Letting

 

 

 

 

 

(4)

Putting (4) in (3) gives us (2).

Implementation edit

This implementation requires Yalmip and Mosek.

Conclusion edit

Compared with the second rank condition, LMI has a computational advantage while also maintaining numerical reliability.

References edit

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