基于大系统递阶控制思想，提出了一种运用再励学习算法设计歼击机自动着陆横侧向协调控制系统的方法。
A fighter safe landing lateral-directional control method is presented based on reinforcement learning algorithm (RL), using hierarchical control of dynamical large-scale systems theory.
仿真结果显示，功率控制的确能够有效地提高网络的吞吐量，而基于再励学习的功率控制算法能够取得和理论最优策略相近的性能。
Simulation demonstrated that power control can improve the whole network throughput significantly and the performance of our scheme approximates to that of the optimal algorithm.
仿真结果显示，功率控制的确能够有效地提高网络的吞吐量，而基于再励学习的功率控制算法能够取得和理论最优策略相近的性能。
Simulation demonstrated that power control can improve the whole network throughput significantly and the performance of our scheme approximates to that of the optimal algorithm.
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