一个基于观察员的适应反复的学习控制(AILC ) 计划与未知变化时间的参数和未知变化时间的延期为非线性的系统的一个类被开发。线性矩阵不平等(LMI ) 方法被采用设计非线性的观察员。设计控制器包含 proportional-integral-derivative (PID ) 反馈术语及时领域。未知经常的参数的学习法律是 differential-difference-type,并且未知变化时间的参数的学习法律是差别类型。未知延期依赖者无常是,这被假定非线性地 parameterized。由构造 Lyapunov-Krasovskii-like 合成精力功能(CEF ) ,我们证明所有靠近环的信号和追踪错误的集中的固定。一个模拟例子被提供说明在这份报纸建议的控制算法的有效性。
An observer-based adaptive iterative learning control (AILC) scheme is developed for a class of nonlinear systems with unknown time-varying parameters and unknown time-varying delays. The linear matrix inequality (LMI) method is employed to design the nonlinear observer. The designed controller contains a proportional-integral-derivative (PID) feedback term in time domain. The learning law of unknown constant parameter is differential-difference-type, and the learning law of unknown time-varying parameter is difference-type. It is assumed that the unknown delay-dependent uncertainty is nonlinearly parameterized. By constructing a Lyapunov-Krasovskii-like composite energy function (CEF), we prove the boundedness of all closed-loop signals and the convergence of tracking error. A simulation example is provided to illustrate the effectiveness of the control algorithm proposed in this paper.