411 REFERENCE · Wikibooks
LMIs in Control/Click here to continue/LMIs in system and stability Theory/Continuous-time Static Output Feedback Stabilizability
Reference material by Wikibooks contributors. This retains its source identity and is not 411 news reporting.
In view of applications, static feedback of the full state is not
feasible in general: only a few of the state variables (or a linear
combination of them,
, called the output) can be
actually measured and re-injected into the system.
So, we are led to the notion of static output feedback
The System
Consider the continuous-time LTI system, with generalized state-space realization
The Data
The Optimization Problem
This system is static output feedback
stabilizable (SOFS) if there exists a matrix
F such that the closed-loop system
(obtained by replacing which means applying static output feedback)
is asymptotically stable at the origin
The LMI: LMI for Continuous Time - Static Output Feedback Stabilizability
The system is static output feedback stabilizable if and only if it satisfies any of the following conditions:
There exists a and , where , such that
There exists a and , where , such that
There exists a and , where , such that
There exists a and , where , such that
Conclusion
On implementation and optimization of the above LMI using YALMIP and MOSEK (or) SeDuMi we get 2 output matrices one of which is the Symmeteric matrix (or ) and
Implementation
A link to the Matlab code for a simple implementation of this problem in the Github repository:
https://github.com/yashgvd/LMI_wikibooks
Related LMIs
Discrete time Static Output Feedback Stabilizability
Static Feedback Stabilizability
External Links
- LMI in Control Systems Analysis, Design and Applications
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.
D. d. S. Madeira and J. Adamy, "Static output feedback: An LMI condition for stabilizability based on passivity indices," 2016 IEEE Conference on Control Applications (CCA), Buenos Aires, 2016, pp. 960-965.
Return to Main Page: