Simulation results showed that the proposed approach could achieve the robust tracking of the unknown nonlinear system. 仿真結果表明，該方法能對模型未知仿射非線(xiàn)性系統實(shí)現魯棒輸出跟蹤。
The learning algorithm can effectively control the unstabl nonlinear system, even if the model of the system is not available and the learner has no a priori experience. 該學(xué)習算法在模型未知和沒(méi)有先驗經(jīng)驗的條件下，能通過(guò)自身神經(jīng)網(wǎng)絡(luò )的在線(xiàn)學(xué)習，有效控制不穩定的非線(xiàn)性系統。
