Xi Yang’s research while affiliated with Peking University and other places

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Publications (3)


Finite-gain L-p Consensus of Multi-agent Systems
  • Article

August 2013

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18 Reads

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8 Citations

International Journal of Control Automation and Systems

Xi Yang

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This paper studies consensus problems for multi-agent systems modeled by linear time-invariant systems with external disturbances under a fixed directed communication topology. It is shown that consensus can be achieved if each agent with the same disturbance signals. But the result is different for each agent with different disturbances. In this case, the finite-gain L p consensus is introduced to describe the effects of the external disturbance on the consensus performance. A necessary and sufficient condition for reaching finite-gain L p consensus is presented, and analytic estimation of the L p gain is given. A distributed algorithm is proposed to ensure that the finite-gain L 2 consensus can be reached with a desired L 2 gain. Numerical examples are given to illustrate the given results.


The disagreement states between xi and x1 without/with communication errors, i=2,3,…,6.
Position states of the 6 agents
Position states of the 6 agents
The disagreement states between xi and x1 without/with communication errors, i=2,3,…,6.
Velocity states of the 6 agents

+3

Distributed Robust Consensus Control of Multiagent Systems with Communication Errors Using Dynamic Output Feedback Protocol
  • Article
  • Full-text available

January 2013

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38 Reads

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2 Citations

Mathematical Problems in Engineering

This paper studies robust consensus problem for multiagent systems modeled by an identical linear time-invariant system under a fixed communication topology. Communication errors in the transferred data are considered, and only the relative output information between each agent and its neighbors is available. A distributed dynamic output feedback protocol is proposed, and sufficient conditions for reaching consensus with a prescribed performance are presented. Numerical examples are given to illustrate the theoretical results.

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Robustness analysis of leader–follower consensus for multi-agent systems characterized by double integrators

November 2012

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27 Reads

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25 Citations

Systems & Control Letters

This paper explores robustness properties of second-order leader–follower consensus in which each agent is characterized by a double-integrator. Communication errors in the transferred data and measurement errors are considered and two robust measures are introduced, respectively, to evaluate the effects of two errors on consensus. The robustness properties of leader–follower for each agent with the same in-degree are investigated and some interesting results on robustness analysis of consensus are obtained for cases of each follower with in-degree 1 and in-degree N−1N−1 where NN is the number of agents. Simulations also support the obtained results.

Citations (3)


... How to construct a novel interaction algorithm such that all agents can realize an agreement on certain variables of common interest states based on the limited or unreliable information exchange is full of indispensable necessary and signification. Consequently, a great variety of consensus protocols [1][2][3][4][5][6][7][8] have been proposed for first-order or second-order multiagent systems based on various perspectives including the kind of communication time delays, deterministic structure of interaction topology, measurement uncertainties, or communication errors. ...

Reference:

Exponential Robust Consensus of Multiagent Systems with Markov Jump Parameters
Distributed Robust Consensus Control of Multiagent Systems with Communication Errors Using Dynamic Output Feedback Protocol

Mathematical Problems in Engineering

... For example, by LMIs technique, the L 2 gain optimal consensus is considered in [20][21][22][23][24][25][26][27]. In a separate direction, some studies tapped into the role of networks on the L 2 gain of MASs [28][29][30][31]. In [28], the authors built the relation between the L 2 gain of first-order MASs and the minimum non-zero eigenvalue of the Laplacian matrix associated with the undirected graph. ...

Robustness analysis of leader–follower consensus for multi-agent systems characterized by double integrators
  • Citing Article
  • November 2012

Systems & Control Letters