许多算法采用引入惩罚函数降低适应度方法使其满足等式约束条件，但太难收敛或解根本不满足约束条件，因此它是遗传算法的一个瓶颈。
It is solved by using penalty function to decrease fitness, but it is too difficult to convergence or to satisfy constrained equations. Therefore constrained equation is a bottleneck for this GA.
本文还验证了整个系统的大范围渐进稳定性的约束条件，并由线性矩阵不等式得出控制率。
Sufficient conditions for the asymptotic convergence of the whole system are provided in terms of linear matrix inequalities (LMI).
本文还验证了整个系统的大范围渐进稳定性的约束条件，并由线性矩阵不等式得出控制率。
Sufficient conditions for the asymptotic convergence of the whole system are provided in terms of linear matrix inequalities (LMI).
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