No self-introduction
Loading
Profile
Follow
codes (2)
Underwater sensor following model
no vote
Application background Individual AUV in energy, control, sensing, and other aspects of capacity, it can only be used for the implementation ofSome simple, local ocean missions, and complex, large scale ocean missions are still out of the AUVCapacity range. In order to solve this problem, on the one hand, we can further develop the intelligence, higher, stronger,Features more AUV, on the other hand can also be based on the existing AUV, through multiple AUVCoordinate and cooperate to accomplish a single AUV can not or difficult to do the job Key Technology Multi AUV coordinated path planning. AUV in the implementation of the task, is often along the way in advance planningPath forward, these paths are connected by a neighbor, a known path. Because energy is the controlAUV operating time is an important factor, so we want to plan the path is optimal. In path pointsThe optimal path of AUV can be easily found by the arrangement combination or enumer
yanxiaohang 3 0
1
MCL matlab (Monte Carlo) simulation, mobile node M
no vote
Application background Monte Carlo (Carlo Monte) simulation is a method to calculate the parameters of the time series by setting the random process, and to calculate the parameters and statistics. In detail, the reliability of the system is known, but the reliability of the system is too complex, it is difficult to establish the accurate mathematical model or the model is too complicated and inconvenient. Because of the repeated generation of time series, the Monte Carlo simulation is based on the computer with high capacity and high speed. Key Technology 1 according to the proposed problem, a simple and suitable probabilistic model or stochastic model is constructed to solve the problem. The solution of the problem is corresponding to some features (such as probability, mean and variance) of the model. The model is consistent with the actual problem or system in the main characteristic parameters. 2. The random number of uniformly distri
yanxiaohang 5 0
1
No more~
Follows0
Fans0