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针对一类未知的非线性系统，提出一种具有稳定性监控的实时自学习ＦＮＮ控制器．ＦＮＮ控制器采用遗传算法使自学习获得最优的性能指标；实时学习过程的稳定性则由基于李雅普诺夫方法设计的监控器来保证，使得ＦＮＮ控制器的自学习过程总是在全局稳定性的条件下进行．
For a class of unknown nonlinear systems, a real-time self-learning FNN controller with stability monitoring is proposed. FNN controller uses genetic algorithm to make self-learning obtain the best performance index; the stability of real-time learning process is guaranteed by the monitor designed based on Lyapunov method, which makes FNN controller self-learning process always in global stability Under the conditions of.