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
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
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.
Jiemei Zhao* and Zhonghui Hu
Wuhan Polytechnic University
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
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