Cooperative Target Tracking by Multiagent Camera Sensor Networks via Gaussian Process

In this paper, we present learning-based robust cooperative control for camera sensor networks. The dynamics of each agent with the pan and tilt mechanism is modeled by Euler-Lagrange equation. target tracking problem, modeling errors caused high nonlinearity system changes in environment may incur significant deterioration performance. To address this, propose a distributed method based on Gaussian process regression to compensate model uncertainty network. We consider error multiagent evaluate agents. show that ultimate boundedness achieved proposed method. A numerical example confirms law enables track targets bounded presence uncertainty.