The real optimal solution of nonlinear discrete dynamic system can be obtained from piecewise linear model with model reality differences by iterative solution.
在存在模型-实际差异的情况下，从分时段线性化多模型出发通过迭代运算可得到实际非线性离散动态系统的真实最优解。
In this paper, an interaction balance coordination algorithm of integrated system optimization and parameter estimation for nonlinear discrete dynamic large scale system is introduced.
提出一种非线性离散动态大系统系统优化与参数估计集成的关联平衡协调算法。
The main result is that a discrete time minimum phase nonlinear system is stabilizable via dynamic output feedback if its zero dynamics is approximately asymptotically stable.
主要结果是，如果一非线性系统的零动态是逼近渐近稳定的，则能用动态输出反馈镇定。
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