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In this paper, an average bipartite consensus control problem is investigated for a high-order multi-agent system with non-identical unknown nonlinear dynamics on a coopetition network. Firstly, the average bipartite consensus problem is formulated for a high-order multi-agent system. Then, linearly parameterized models are used to describe the unknown dynamics. Simultaneously, adaptive estimation...
In this paper, a bipartite tracking problem is considered for a group of autonomous agents on a coopetition network, which is modeled by a signed graph. The leader and the followers are subjected to unknown disturbances, which are represented by linearly parameterized models. The agent dynamics is described by a double integrator. The relative position measurements and the relative velocity measurements...
In this paper, the mathematical model for target tracking using nonlinear scalar range sensors is formulated first. Sensors are classified into active sensors and submissive sensors according to the relative distances with the target. Then two different estimation algorithms accompanying with an optimal sensor deployment strategy are proposed for both active and submissive sensors to estimate the...
In this paper we discuss the estimation of a moving target by cooperative agents equipped with sensors. To locate a moving target, a distributed algorithm is given for the networked agents based on a time-based shift. A nonlinear filter with fusing collected sensor information is proposed to estimate the trajectory of the target with unknown dynamics. The convergence of the estimation in the sensor...
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