Title :
Upper and lower covariance bounds for perturbed linear systems
Author :
Xu, J.-H. ; Skelton, R.E. ; Zhu, G.
Author_Institution :
Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA
fDate :
8/1/1990 12:00:00 AM
Abstract :
Both upper and lower bounds are established for state covariance matrices under parameter perturbations of the plant. The motivation for this study lies in the fact that many robustness properties of linear systems are given explicitly in terms of the state covariance matrix. Moreover, there exists a theory for control by covariance assignment. The results provide robustness properties of these covariance controllers
Keywords :
control system analysis; linear systems; matrix algebra; stability; covariance bounds; lower bounds; parameter perturbations; perturbed linear systems; robustness; stability; state covariance matrices; upper bounds; Automatic control; Bismuth; Control systems; Design methodology; Linear systems; Optimal control; Riccati equations; Stacking; Steady-state; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on