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[Communicationeigenray

Description: 室内传播模型之一射线跟踪法仿真与实现的MATLAB源代码-indoor propagation model one ray-tracing method, simulation and implementation of MATLAB source code
Platform: | Size: 871145 | Author: 辰辰 | Hits:

[Communicationeigenray

Description: 室内传播模型之一射线跟踪法仿真与实现的MATLAB源代码-indoor propagation model one ray-tracing method, simulation and implementation of MATLAB source code
Platform: | Size: 870400 | Author: 辰辰 | Hits:

[Windows Developlog-distancepathloss

Description: log_distance path loss model for wireless propagation indoor
Platform: | Size: 1024 | Author: ningchang | Hits:

[Communicationimagepan

Description: 室内射线追踪模型的仿真的matlab 代码-indoor propagation model one ray-tracing method
Platform: | Size: 47104 | Author: liuqiang | Hits:

[GUI Developmultiwall_model

Description: This example of multiwall model for indoor propagation model. Click on the location of transmitter and press enter,then path loss colour map will shown in figure-This is example of multiwall model for indoor propagation model. Click on the location of transmitter and press enter,then path loss colour map will shown in figure
Platform: | Size: 32768 | Author: chang | Hits:

[matlabair-conditioner

Description: For those who spend most of their time working indoors, the indoor air quality (IAQ) could affect their working efficiency and health. This paper presents an intelligent proportional-integral-derivative (PID) controller for IAQ control. Different the traditional PID controller, this novel controller combined with Back-Propagation Neural Networks (BPNN) technology will regulate the PID parameters kp, ki, kd automatically. In the present study, the algorithm of the BPNN-based PID controller is first discussed in details, and the control performance is then tested by simulation using MATLAB. The difficulty in IAQ control is the existence of control disturbance, time delay and measurement errors. The results show that the combined control algorithm has better performance on the systemic stability, disturbance resistance, fast response rate and small overshoot compared with traditional PID controller.-For those who spend most of their time working indoors, the indoor air quality (IAQ) could affect their working efficiency and health. This paper presents an intelligent proportional-integral-derivative (PID) controller for IAQ control. Different the traditional PID controller, this novel controller combined with Back-Propagation Neural Networks (BPNN) technology will regulate the PID parameters kp, ki, kd automatically. In the present study, the algorithm of the BPNN-based PID controller is first discussed in details, and the control performance is then tested by simulation using MATLAB. The difficulty in IAQ control is the existence of control disturbance, time delay and measurement errors. The results show that the combined control algorithm has better performance on the systemic stability, disturbance resistance, fast response rate and small overshoot compared with traditional PID controller.
Platform: | Size: 4096 | Author: payam/baban | Hits:

[OpenGL program6426506

Description: 室内传播模型之一射线跟踪法仿真与实现的MATLAB源代码(Indoor propagation models of ray tracing method, the simulation and realization of MATLAB source code)
Platform: | Size: 837632 | Author: Jeanhgb | Hits:

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