TY - GEN
T1 - Awareness Coverage Control with Uncertain Loss of Awareness
AU - Cheng, Teng-Hu
AU - Wang, Hao Ping
AU - Koksal, Nasrettin
PY - 2018/8/9
Y1 - 2018/8/9
N2 - Awareness coverage control for multiple targets in a large-scale mission domain is considered in this work. Most previous results require prior knowledge of the loss of awareness to design coverage controllers to guarantee the desired state of awareness can be achieved. Other studies neglect the loss of awareness, so that the dynamics of the state of awareness can be solved and the solution can be used as feedback for coverage controllers. Uncertain loss of awareness can lead to unexpected variation in the state of awareness even when the target is covered by agents, and the control strategies to tackle the uncertain dynamics is still unclear. To eliminate the need of the knowledge and to extend to more general applications, systems with unknown loss of the awareness are considered in this paper. An overall controller composed of a nominal controller and a perturbation controller is developed. The nominal controller does not require the knowledge of the loss of awareness for implementation, and it ensures each agent is controlled to a local minimum. The perturbation controller drives the agent outside the local minimum to achieve large-scale coverage control. Stability analysis is conducted to guarantee all targets are covered with a satisfactory state of awareness, and infinite switching between the two controllers (i.e., Zeno behavior) is proven to be avoided. Finally, a numerical simulation is provided to demonstrate the performance of the developed controller.
AB - Awareness coverage control for multiple targets in a large-scale mission domain is considered in this work. Most previous results require prior knowledge of the loss of awareness to design coverage controllers to guarantee the desired state of awareness can be achieved. Other studies neglect the loss of awareness, so that the dynamics of the state of awareness can be solved and the solution can be used as feedback for coverage controllers. Uncertain loss of awareness can lead to unexpected variation in the state of awareness even when the target is covered by agents, and the control strategies to tackle the uncertain dynamics is still unclear. To eliminate the need of the knowledge and to extend to more general applications, systems with unknown loss of the awareness are considered in this paper. An overall controller composed of a nominal controller and a perturbation controller is developed. The nominal controller does not require the knowledge of the loss of awareness for implementation, and it ensures each agent is controlled to a local minimum. The perturbation controller drives the agent outside the local minimum to achieve large-scale coverage control. Stability analysis is conducted to guarantee all targets are covered with a satisfactory state of awareness, and infinite switching between the two controllers (i.e., Zeno behavior) is proven to be avoided. Finally, a numerical simulation is provided to demonstrate the performance of the developed controller.
UR - http://www.scopus.com/inward/record.url?scp=85052556496&partnerID=8YFLogxK
U2 - 10.23919/ACC.2018.8431013
DO - 10.23919/ACC.2018.8431013
M3 - Conference contribution
AN - SCOPUS:85052556496
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 4912
EP - 4917
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -