TY - JOUR
T1 - Adaptive event-triggered dissipative control for semi-Markovian jump systems with stochastic deception attack
AU - Liu, Yajuan
AU - Liu, Shuhan
AU - Liu, Yuzhen
AU - Lee, S. M.
N1 - Publisher Copyright:
© 2023 The Franklin Institute
PY - 2023/11
Y1 - 2023/11
N2 - This paper addresses the adaptive event-triggered (AET) stabilization problem for semi-Markovian jump systems (SMJSs) with deception attack. In the proposed AET control scheme, the threshold is adaptively updated unlike the existing event-triggered (ET) mechanisms, which can reduce communication pressure. By resorting to a mode-dependent Lyapunov functional, the stochastic stability and dissipative performance of SMJSs are guaranteed. In addition, according to stability conditions, the corresponding mode-dependent gain parameters are designed. At last, two numerical examples are given to demonstrate the effectiveness and applicability of the proposed theoretic results.
AB - This paper addresses the adaptive event-triggered (AET) stabilization problem for semi-Markovian jump systems (SMJSs) with deception attack. In the proposed AET control scheme, the threshold is adaptively updated unlike the existing event-triggered (ET) mechanisms, which can reduce communication pressure. By resorting to a mode-dependent Lyapunov functional, the stochastic stability and dissipative performance of SMJSs are guaranteed. In addition, according to stability conditions, the corresponding mode-dependent gain parameters are designed. At last, two numerical examples are given to demonstrate the effectiveness and applicability of the proposed theoretic results.
UR - http://www.scopus.com/inward/record.url?scp=85173134005&partnerID=8YFLogxK
U2 - 10.1016/j.jfranklin.2023.09.037
DO - 10.1016/j.jfranklin.2023.09.037
M3 - Article
AN - SCOPUS:85173134005
SN - 0016-0032
VL - 360
SP - 12358
EP - 12377
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 16
ER -