This paper deals with the consensus control problem for a class of multi-agent systems with state-dependent intermittent communication. The main contribution is that a novel state-dependent intermittent scheme is proposed, where whether the control protocols are implemented on the agents or not is related to system dynamics. In this communication scheme, by dividing the nonnegative real region into three subregions, the work time and the rest time are dependent on the pre-given subregions and a function value describing the error state. Based on this, a novel state-dependent intermittent control protocol can be designed and the sufficient conditions for the overall consensus can further be obtained. Compared to the existing time-dependent intermittent communication schemes, the proposed state-dependent one can tolerate more rest time. Finally, two simulation examples are developed to illustrate our results.
ChengFYuWWanY (2016) Distributed robust control for linear multiagent systems with intermittent communications. IEEE Transactions on Circuits and Systems II: Express Briefs63(9): 838–842.
2.
DingSWangZZhangH (2018) Quasi-synchronization of delayed memristive neural networks via region-partitioning-dependent intermittent control. IEEE Transactions on Cybernetics49(12): 4066–4077.
3.
FanZSuHChenS (2019) Semi-global leader-following coordination of multi-agent systems with input saturation and aperiodic intermittent communications. Journal of the Franklin Institute356(2): 1051–1066.
4.
HanZJiaQTangW (2020) Second-order consensus in multi-agent systems with nonlinear dynamics and intermittent control. International Journal of Systems Science51(12): 2192–2203.
5.
LiHZhuY (2018) Consensus of second-order delayed nonlinear multi-agent systems via node-based distributed adaptive completely intermittent protocols. Applied Mathematics and Computation326: 1–15.
6.
LiuWHuangJ (2017) Event-triggered global robust output regulation for a class of nonlinear systems. IEEE Transactions on Automatic Control62(11): 5923–5930.
7.
MuYZhangHSunS (2019) Robust non-fragile proportional plus derivative state feedback control for a class of uncertain Takagi-Sugeno fuzzy singular systems. Journal of the Franklin Institute365(12): 6208–6225.
8.
MuYZhangHXiR (2021) Fault-tolerant control of nonlinear systems with actuator and sensor faults based on T-S fuzzy model and fuzzy observer. IEEE Transactions on Systems, Man, and Cybernetics: Systems52: 5795–5804.
9.
NarendraKTripathiS (1973) Identification and optimization of aircraft dynamics. Journal of Aircraft10(4): 193–199.
10.
SaderMChenZLiuZ, et al. (2021) Distributed robust fault-tolerant consensus control for a class of nonlinear multi-agent systems with intermittent communications. Applied Mathematics and Computation403: 126166.
11.
SuHLiuYZengZ (2020) Second-order consensus for multiagent systems via intermittent sampled position data control. IEEE Transactions on Cybernetics50(5): 2063–2072.
12.
SunJWangZ (2020a) Consensus of multi-agent systems with intermittent communications via sampling time unit approach. Neurocomputing397: 149–159.
13.
SunJWangZ (2020b) Event-triggered consensus control of high-order multi- agent systems with arbitrary switching topologies via model partitioning approach. Neurocomputing413: 14–22.
14.
SunJGuoCLiuL (2022a) Consensus of piecewise time-varying multi-agent systems with switching topologies. Transactions of the Institute of Measurement and Control44(13): 2522–2531.
15.
SunJGuoCLiuL (2022b) Coordinated output regulation of heterogeneous multi-agent systems under switching disconnected topologies. International Journal of Control, Automation and Systems. Epub ahead of print 3 November. DOI: 10.1007/s12555-022-0043-6.
16.
SunJGuoCLiuL (2022c) Adaptive consensus control of second-order nonlinear multi-agent systems with event-dependent intermittent communications. Journal of the Franklin Institute. Epub ahead of print 2 November. DOI: 10.1016/j.jfranklin.2022. 10.045.
17.
SunJGuoCShanQ (2022d) Consensus of multi-agent systems with switching disconnected topologies via elementary-unit-based dwell time approach. Discrete Dynamics in Nature and Society2022; 2022: 3063471.
18.
SunJWangZFanX (2020a) Periodic event-triggered consensus control for multi-agent systems with switching jointly connected topologies. IET Control Theory & Applications14(19): 3282–3290.
19.
SunJWangZRongN (2020b) Sampled-data consensus of multiagent systems with switching jointly connected topologies via time-varying Lyapunov function approach. International Journal of Robust and Nonlinear Control30(14): 5369–5385.
20.
TanGWangZ (2022) Stability analysis of systems with time-varying delay via a delay-product-type integral inequality. Mathematical Methods in the Applied Sciences45: 6535–6545.
21.
WangZSunJZhangH (2020) Stability analysis of T-S fuzzy control system with sampled-dropouts based on time-varying Lyapunov function method. IEEE Transactions on Systems, Man, and Cybernetics: Systems50(7): 2566–2577.
22.
WenGDuanZYuW, et al. (2013) Consensus of second-order multi-agent systems with delayed nonlinear dynamics and intermittent communications. International Journal of Control86(2): 322–331.
23.
WenGDuanZChenG (2014) Consensus tracking of multi-agent systems with Lipschitz-type node dynamics and switching topologies. IEEE Transactions on Circuits and Systems I: Regular Papers61(2): 499–511.
24.
WenGDuanZLiZ (2012) Consensus and its l2-gain performance of multi-agent systems with intermittent information transmissions. International Journal of Control85(4): 384–396.
25.
WuYZhuangSAhnCK (2020) Aperiodically intermittent discrete-time state observation noise for consensus of multiagent systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems52: 1243–1253.
26.
XuCYangXLuJ (2017) Finite-time synchronization of networks via quantized intermittent pinning control. IEEE Transactions on Cybernetics48(10): 3021–3027.
27.
YanZSangCFangM (2018) Energy-to-peak consensus for multi-agent systems with stochastic disturbances and Markovian switching topologies. Transactions of the Institute of Measurement and Control40(16): 4358–4368.
28.
YangYChenDLiuQ (2022a) Predictor-based bipartite time-varying formation control of nonlinear multi-agents systems via disturbance observer. International Journal of Robust and Nonlinear Control32(9): 5694–5716.
29.
YangFYuZJiangH (2022b) Distributed finite-time optimisation for multi-agent systems via event-triggered aperiodically intermittent communication. International Journal of Systems Science53: 1674–1689.
30.
YangYXuHYueD (2019) Observer-based distributed secure consensus control of a class of linear multi-agent systems subject to random attacks. IEEE Transactions on Circuits and Systems I: Regular Papers66(8): 3089–3099.
31.
YuZJiangHHuC (2017) Consensus of second-order multi-agent systems with delayed nonlinear dynamics and aperiodically intermittent communications. International Journal of Control90(5): 909–922.
32.
ZhangZChenSSuH (2020) Scaled consensus of second-order nonlinear multiagent systems with time-varying delays via aperiodically intermittent control. IEEE Transactions on Cybernetics50(8): 3503–3516.
