LMIs in Control/Stability Analysis/Hurwitz Stability: Difference between revisions

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LMIs in Control/Stability Analysis/Hurwitz Stability


This is a set of LMI conditions for determining Hurwitz Stability of continuous time systems.


The System

x˙(t)=Ax(t)+Bu(t),y(t)=Cx(t)+Du(t)

The Data

  • The matrices A,B,C,D are system matrices of appropriate dimensions.
  • xn, ym and ur are state vector, output vector and input vector respectively.

The Optimization Problem

Find a symmetric postive definite matrix X, where Xn. Thus X>0 and K=ZX1 where Zr.

The LMI: The Lyapunov Inequality

Matrix pair (A,B), is Hurwitz stabilizable if and only if there exist a symmetric positive definite matrix X and a matrix Z satisfying
AX+XAT+BZ+ZTBT<0

Proof : Matrix pair (A,B), is Hurwitz stabilizable if and only if

rank[sIAB]=n, sλ(A) and Re(s)0
This is the definition of Hurwitz Stability. Now, using this definition we can prove the above LMI if we find matrix X>0 and matrix Z and thus by substituting Z=KX in the above LMI we get,
(A+BK)X+X(A+BK)T<0, which brings us to the Lyapunov Stability Theory.

Conclusion:

Thus by proving the above conditions we prove that the matrix pair (A,B) is Hurwitz Stabilizable. At the same time, we also prove that the rank[sIAB]=n i.e. it is full rank and the real part of s is >0.

Implementation

Please find the MATLAB implementation at this link below
https://github.com/omiksave/LMI

Links to other closely-related LMIs

  • Schur Stability
  • Quadratic Hurwitz Stability
  • Quadratic Schur Stability
  • Quadratic D-Stability

A list of references documenting and validating the LMI.

  • LMI Methods in Optimal and Robust Control - A course on LMIs in Control by Matthew Peet.
  • LMI Properties and Applications in Systems, Stability, and Control Theory - A List of LMIs by Ryan Caverly and James Forbes.
  • LMIs in Systems and Control Theory - A downloadable book on LMIs by Stephen Boyd.

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