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Considering of the nonlinear, time-variable and non-minimum phase character and the easy variance of hydro-turbine governing system's structure and parameters, a new adaptive inverse control method of hydro-turbine governing system based on the learning characteristic of neural network and the function approximation ability of the wavelet analysis is presented. It approximates the model and its inversion...
Urban traffic control is very complicated, so to build a precise mathematical model for it is very difficult, In this paper, we use the SARSA reinforcement leaning algorithm to control the traffic signal, thus the decision can be made dynamically according to real-time traffic state information, and the change of environment can be adapted automatically; As the state space is too big to be stored...
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