滚动时域估计的基本策略就是将状态估计问题化为一个二次规划问题。
The basic strategy of MHE is to reformulate the estimation problem asa quadratic program using a moving estimation window.
该算法能针对在样本有限的情况下，采用结构风险最小化准则，把学习问题转化为一个二次规划问题来获得最优解。
The method can transfer the learning problem into a second planning to acquire the optimal solution according to the principle of structure risk minimum under limited samples situation.
建立非线性等式和不等式约束规划问题的一个序列二次规划(sqp)型算法。
An algorithm of successive quadratic programming (SQP) type is presented to program problems with nonlinear equality and inequality constraints.
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