LMIs in Control/Stability Analysis/Hurwitz Stability
LMIs in Control/Stability Analysis/Hurwitz Stability
This is a set of LMI conditions for determining Hurwitz Stability of continuous time systems.
The System
editThe Data
edit- The matrices are system matrices of appropriate dimensions.
- , and are state vector, output vector and input vector respectively.
The Optimization Problem
editFind a symmetric postive definite matrix , where . Thus and where .
The LMI: The Lyapunov Inequality
editMatrix pair , is Hurwitz stabilizable if and only if there exist a symmetric positive definite matrix and a matrix satisfying
Proof : Matrix pair , is Hurwitz stabilizable if and only if
, and
This is the definition of Hurwitz Stability.
Now, using this definition we can prove the above LMI if we find matrix and matrix and thus by substituting in the above LMI we get,
, which brings us to the Lyapunov Stability Theory.
Conclusion:
editThus by proving the above conditions we prove that the matrix pair is Hurwitz Stabilizable. At the same time, we also prove that the i.e. it is full rank and the real part of is .
Implementation
editPlease find the MATLAB implementation at this link below
https://github.com/omiksave/LMI
Related LMIs
editLinks to other closely-related LMIs
- Schur Stability
- Quadratic Hurwitz Stability
- Quadratic Schur Stability
- Quadratic D-Stability
External Links
editA 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.