Regular Papers

International Journal of Control, Automation and Systems 2019; 17(5): 1141-1148

Published online May 4, 2019

https://doi.org/10.1007/s12555-018-9728-2

© The International Journal of Control, Automation, and Systems

Improved Results on Reachable Set Estimation of Linear Systems

Jiemei Zhao* and Zhonghui Hu

Wuhan Polytechnic University

Abstract

In this study, we investigate the reachable set estimation for linear systems with discrete delay and distributed delay as well as disturbances. Based on the reciprocally convex combination lemma, free-weighting matrix approach and convex analysis technique, improved delay-dependent linear matrix inequalities (LMIs) criteria are derived for finding an ellipsoid to bound the reachable sets of such systems. Moreover, this result is extended to the one for linear systems with discrete delay, distributed delay and disturbances as well as polytopic-type uncertainties. In addition, the proposed results include some existing ones as special cases since the initial conditions of the systems are not required to be zero. Finally, two numerical examples are provided to show that our results have less conservative."

Keywords Discrete and distributed delays, generalized reciprocally convex combination, optimization method, reachable set estimation

Article

Regular Papers

International Journal of Control, Automation and Systems 2019; 17(5): 1141-1148

Published online May 1, 2019 https://doi.org/10.1007/s12555-018-9728-2

Copyright © The International Journal of Control, Automation, and Systems.

Improved Results on Reachable Set Estimation of Linear Systems

Jiemei Zhao* and Zhonghui Hu

Wuhan Polytechnic University

Abstract

In this study, we investigate the reachable set estimation for linear systems with discrete delay and distributed delay as well as disturbances. Based on the reciprocally convex combination lemma, free-weighting matrix approach and convex analysis technique, improved delay-dependent linear matrix inequalities (LMIs) criteria are derived for finding an ellipsoid to bound the reachable sets of such systems. Moreover, this result is extended to the one for linear systems with discrete delay, distributed delay and disturbances as well as polytopic-type uncertainties. In addition, the proposed results include some existing ones as special cases since the initial conditions of the systems are not required to be zero. Finally, two numerical examples are provided to show that our results have less conservative."

Keywords: Discrete and distributed delays, generalized reciprocally convex combination, optimization method, reachable set estimation

IJCAS
March 2025

Vol. 23, No. 3, pp. 683~972

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