Mobile Sensor Network Control Using Mutual Information Methods and Particle Filters

By G. Hoffmann, Claire Jennifer Tomlin. IEEE Transactions on Automatic Control, 2010

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Continuous trajectory planning of mobile sensors for informative forecasting (2010, methodology): “, position and velocity of targets [11– 13, 15, 16, 24, 30, 37], the pose of the sensor platform itself, the forecast of weather over some region of interest [2, 4, 23, 29], physical quantities under the ocean [10, 18], or the distribution of radioactive materials [5]) at some point in time – called”
Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering (2009, methodology): “Recently, STARMAC was used to demonstrate a decentralized collision avoidance algorithm [12], cooperative search for rescue beacon tracking using a decentralized information theoretic control algorithm to coordinate aircraft [13], and path-planning and trajectory following in obstacle-rich environme”
Distributed Seeking of Nash Equilibria With Applications to Mobile Sensor Networks (2012, unknown): “, [14], [25]– [28], [30]–[32], [35]–[38] and references therein).”
Guaranteed Safe Online Learning via Reachability: tracking a ground target using a quadrotor (2012, methodology): “This can be easily verified by computing the conditional entropy as in [16],”