Linear matrix inequality conditions for robustness and control design

2001 ◽  
Vol 11 (6) ◽  
pp. 541-554 ◽  
Author(s):  
Raffaello D'Andrea
Wind Energy ◽  
2020 ◽  
Vol 23 (9) ◽  
pp. 1792-1809
Author(s):  
Florian Pöschke ◽  
Eckhard Gauterin ◽  
Martin Kühn ◽  
Jens Fortmann ◽  
Horst Schulte

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Xin-rong Cong ◽  
Long-suo Li

This paper investigates the robust stability for a class of stochastic systems with both state and control inputs. The problem of the robust stability is solved via static output feedback, and we convert the problem to a constrained convex optimization problem involving linear matrix inequality (LMI). We show how the proposed linear matrix inequality framework can be used to select a quadratic Lyapunov function. The control laws can be produced by assuming the stability of the systems. We verify that all controllers can robustly stabilize the corresponding system. Further, the numerical simulation results verify the theoretical analysis results.


Sign in / Sign up

Export Citation Format

Share Document