作者：
Cao, GanghuiWang, JinzhiPeking Univ
Coll Engn Dept Mech & Engn Sci State Key Lab Turbulence & Complex Syst Beijing 100871 Peoples R China
In this paper, a fullydistributed unknown input observer is designed, which can give an exact state estimate for linear time-invariant systems with unknown inputs. Specifically, it is a group of sensors with compleme...
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In this paper, a fullydistributed unknown input observer is designed, which can give an exact state estimate for linear time-invariant systems with unknown inputs. Specifically, it is a group of sensors with complementary measurement capabilities, in which each one serves as a local observer and has communication links with neighbors. Such networked sensor nodes are designed to cooperate by taking complementary actions, so that each one can estimate the full state of the plant exactly. The fully distributed design in this paper requires no global information such as the communication topology, collective measurement capability, or bound of the unknown input.& COPY;2023 Elsevier B.V. All rights reserved.
The purpose of this study is to discuss the fully distributed design of output estimation error observer and fault-tolerant consensus tracking control for a class of multi-agent systems with Lipschitz nonlinear dynami...
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The purpose of this study is to discuss the fully distributed design of output estimation error observer and fault-tolerant consensus tracking control for a class of multi-agent systems with Lipschitz nonlinear dynamics and actuator faults. Firstly, based on the relative output measurements of neighboring agents, the distributed output estimation error observer is developed to adaptively estimate the state and fault information of each agent, and further overcome the difficulties of online updating the adaptive estimations of unknown hyper-parameters. Secondly, to achieve the state consensus tracking goal and compensate for the negative effects of actuator faults, the distributed fault-tolerant consensus tracking control scheme is proposed on the basis of the state estimation and adaptive fault estimation information, and has excellent robustness and consensus tracking control performance. Moreover, sufficient criteria can ensure that consensus tracking error of each agent converges to a small set near the origin. Finally, numerical simulations are provided to show the effectiveness of the proposed fullydistributed algorithm.
This paper considers fullydistributed adaptive control for linear multi-agent systems with pure relative output information only. Two reduced-order protocols, namely, an edgebased protocol and a node-based protocol, ...
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ISBN:
(纸本)9781713872344
This paper considers fullydistributed adaptive control for linear multi-agent systems with pure relative output information only. Two reduced-order protocols, namely, an edgebased protocol and a node-based protocol, are derived. For the edge-based protocol, each edge is adapted by a coupling weight which depends only on relative output information of the associated two agents, while the coupling weight in the node-based protocol is based on the relative output information of all neighboring agents. Sufficient conditions for the solvability of the consensus problem under the two protocols are derived. Compared with most of the existing related protocols, the main merits of the protocols are that only relative output information is needed, which helps reduce the communication burdens and protect the multi-agent systems from network attacks, and that the protocols are fullydistributed. A simulation example is finally presented to illustrate the effectiveness of the proposed protocols. Copyright (c) 2023 The Authors.
This paper considers fullydistributed adaptive control for linear multi-agent systems with pure relative output information only. Two reduced-order protocols, namely, an edge-based protocol and a node-based protocol,...
详细信息
This paper considers fullydistributed adaptive control for linear multi-agent systems with pure relative output information only. Two reduced-order protocols, namely, an edge-based protocol and a node-based protocol, are derived. For the edge-based protocol, each edge is adapted by a coupling weight which depends only on relative output information of the associated two agents, while the coupling weight in the node-based protocol is based on the relative output information of all neighboring agents. Sufficient conditions for the solvability of the consensus problem under the two protocols are derived. Compared with most of the existing related protocols, the main merits of the protocols are that only relative output information is needed, which helps reduce the communication burdens and protect the multi-agent systems from network attacks, and that the protocols are fullydistributed. A simulation example is finally presented to illustrate the effectiveness of the proposed protocols.
This paper studies edge-based event-triggered strategies for the average consensus problem in multi-agent systems. To this end, a distributed event-triggered algorithm is presented based on edge information rather tha...
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This paper studies edge-based event-triggered strategies for the average consensus problem in multi-agent systems. To this end, a distributed event-triggered algorithm is presented based on edge information rather than neighbor information, where positive minimum inter-event times are guaranteed between all communication links in the network. Moreover, the triggering mechanism is constructed in a fullydistributed way which uses only relative state differences based on local neighborhood information without any global graph topology information. This treatment greatly reduces the communication frequency compared with continuous-time average consensus algorithms. We show that the proposed algorithm makes all agents converge to the average of their initial states asymptotically, and the positive minimum inter-event time for each link is controllable by two corresponding agents through their triggering parameters. (C) 2021 Elsevier Ltd. All rights reserved.
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