A successive approximation approach designing optimal controller is proposed with respect to the finite - domain quadratic performance indexes 根据有限时域二次型性能指标，提出了一种基于逐次逼近思想的大系统近似最优扰动抑制方法。
Using the approximate model of main steam pressure and linear quadratic optimal control theory , the lq sub - optimal control strategy is brought forward 基于主蒸汽压力降阶近似模型和二次型最优控制原理，文中还给出了主蒸汽压力的lq次优调节策略。
And also , a new control strategy based on lyapunov stability theory is presented in this section in order to keep the inverted pendulum stabling in large regions 并基于lyapunov的二次型稳定理论，提出了一种新的控制方案，以实现倒立摆的大范围稳定。
Two methods of designing the switching function are presented : the pole setting and the quadratic form optimization . tendency ration strategy is presented to eliminate chattering 在设计切换函数时，作者采用极点配置法和二次型指标最优法两种方法来设计。
Multivariable robust control for a turbofan aero - engine using the lqg / ltr ( linear quadratic gaussian with loop transfer recovery ) design methodology is considered 本文针对某型航空涡扇发动机，研究了log ltr (带回路恢复的线性高斯二次型)多变量鲁棒控制器设计方法。
In particular , a simple iterative learning law based on infinite time optimal linear quadratic regulator is proposed and its convergence is analyzed in detail 进而，得到了基于最优线性二次型无限时间输出调节器的迭代学习控制律，并分析了其收敛和鲁棒收敛的充分条件。
Finally the paper applies the contractive mapping genetic algorithm to search the equilibrium point of th neural network in a quadratic programming computing for the first time 在仿真计算中，首次将压缩映射遗传算法应用到了搜索th神经网络的平衡点(二次型的最优值)上。
Then it is applied to a multi - step model predictive controller in optimal control fashion . frequency , time domain analysis and simulation shows that the system is feasible 时域分析表明，对于二次型性能指标来说，该预测控制器是次优的，我们并提出了计算二次型性能指标的公式。
The ilc algorithm assures that the input sequence will converge to the optimal control of linear quadratic tracking problem . the algorithm achieves an exponential rate of convergence 对于任意给定的系统期望轨迹，该方法保证迭代控制信号能够收敛于系统的一个线性二次型最优控制解。
The smith predictor structure instead of an optimal predictor in gpc is used to compute the predictions of the output of the plant and to compute the sequence of future control signal 提出改进系统性能的超调约束广义预测控制算法，研究遗传算法在非二次型性能指标约束广义预测控制中的应用。
