...Nonlinear feedforward control, setpoint transition, system inversion, internal dynamics, input constraints, b[gap=388]关键词：非线性前馈控制，给定值过渡，系统反转，内部动力学，输入约束，边界值 问题，轨迹规划。
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B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
双级神经网络的前馈解耦控制提出了具有时变，非线性，不确定性和多变量耦合发酵过程中。
The obtained optimal control law consists of analytical linear feedforward and feedback terms and a nonlinear compensation term which is the limit of the adjoint vector sequence.
得到的最优控制律由解析的线性前馈-反馈项和伴随向量序列极限形式的非线性补偿项组成。
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