Input Delay Compensation in Multi-Agent Systems via Piecewise Constant Control. / Ponomarev, Anton; Zhang, Hai-Tao.
13th IFAC Workshop on Time Delay Systems TDS 2016. Elsevier, 2016. p. 153-156.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
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TY - GEN
T1 - Input Delay Compensation in Multi-Agent Systems via Piecewise Constant Control
AU - Ponomarev, Anton
AU - Zhang, Hai-Tao
PY - 2016
Y1 - 2016
N2 - We consider a multi-agent system with time-invariant topology containing several agents governed by similar linear time-invariant ODEs with constant delay in actuation. Piecewise constant (PWC) control with sampling time larger than the delay value is applied. Assuming the delay-free version of the system can be brought to consensus by the PWC feedback, we design a predictive PWC feedback achieving consensus in the system with delayed input. During prediction, PWC structure is employed to determine future input to the system from its past output. This input is then used to predict the future state and compensate for the delay.
AB - We consider a multi-agent system with time-invariant topology containing several agents governed by similar linear time-invariant ODEs with constant delay in actuation. Piecewise constant (PWC) control with sampling time larger than the delay value is applied. Assuming the delay-free version of the system can be brought to consensus by the PWC feedback, we design a predictive PWC feedback achieving consensus in the system with delayed input. During prediction, PWC structure is employed to determine future input to the system from its past output. This input is then used to predict the future state and compensate for the delay.
KW - Linear control systems
KW - multi-agent systems
KW - sampling control
KW - delay compensation
KW - predictive control.
U2 - 10.1016/j.ifacol.2016.07.511
DO - 10.1016/j.ifacol.2016.07.511
M3 - статья в сборнике материалов конференции
SP - 153
EP - 156
BT - 13th IFAC Workshop on Time Delay Systems TDS 2016
PB - Elsevier
ER -
ID: 7577063