TY - GEN
T1 - A robust output feedback controller in a discrete time domain
AU - Yang, Janghoon
PY - 2017/12/22
Y1 - 2017/12/22
N2 - In this paper, we propose an optimization problem with a linear matrix inequality for a robust output feedback controller in a discrete time domain. It is posed as maximizing the allowable uncertainty while satisfying stability condition. A two-step approach was developed first. To improve performance, we also proposed a method of iterating two convex problems over some variable with fixed other variables, which was shown to converge locally. To improve performance further, several heuristic initializations were also considered. We verify the developed theory and performance of the different methods of initialization through numerical evaluations in terms of robustness and stability.
AB - In this paper, we propose an optimization problem with a linear matrix inequality for a robust output feedback controller in a discrete time domain. It is posed as maximizing the allowable uncertainty while satisfying stability condition. A two-step approach was developed first. To improve performance, we also proposed a method of iterating two convex problems over some variable with fixed other variables, which was shown to converge locally. To improve performance further, several heuristic initializations were also considered. We verify the developed theory and performance of the different methods of initialization through numerical evaluations in terms of robustness and stability.
UR - https://www.scopus.com/pages/publications/85045430405
UR - https://www.scopus.com/pages/publications/85045430405#tab=citedBy
U2 - 10.1145/3175516.3175535
DO - 10.1145/3175516.3175535
M3 - Conference contribution
AN - SCOPUS:85045430405
T3 - ACM International Conference Proceeding Series
SP - 36
EP - 40
BT - 2017 International Conference on Automation, Control and Robots, ICACR 2017
PB - Association for Computing Machinery
T2 - 2017 International Conference on Automation, Control and Robots, ICACR 2017
Y2 - 22 December 2017 through 24 December 2017
ER -