chap_8

得到一些列的离散数据，用matlab，进行曲线拟合(Get some out of discrete data with matlab, for curve fitting)

说明：  四阶经典的龙格-库塔公式的matlab实现(Classical fourth-order Runge- Kutta formula matlab implementation)

这是一个用vc和matlab混合变成的例子，在两者环境下结合编成是很好的思路，有很大的应用前景，希望对大家有所帮助(with vc and mixed into Matlab example, in other circumstances combined organization is a good idea, a great prospect, we hope to help)

说明：  自适应控制算法的另一个Simulink模型，可运行，是无模型参考控制算法的一个应用实例，供共同学习和交流(Adaptive control algorithm to another Simulink model to run, there is no model reference control algorithm of an application example for the common learning and exchange)

MPC 动态矩阵例子 很详细的讲解 针对化工过程(MPC examples)

BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、 LAWMLShrink方法的DWT实现和DT_CWT实现。(BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink methods, LAWMLShrink methods DT_CWT realization and the realization of DWT.)

用稳定边界法整定公式来求P,PI,PID的个参数，其中G是已知被校正系统的开环传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量Gc为校正器传递函数，p为系统开环极点的个数（不计重根个数，即多重根只计一个根）(With the Stable Boundary tuning formula seeking P, PI, PID' s parameters, of which G is known to be corrected and the system of open-loop transfer function, kp is proportional coefficient, Ti the integral time constant, Td for the differential time constant, input parameters Gc for the corrector transfer function, p is the number of poles of open-loop system (excluding the number of multiple roots, that is a multiple root only to the root))

基于有效算法的n节点电力系统，收敛速度快，准确度高，电力系统配电网潮流计算。(Efficient algorithm for the n-node power system, the faster convergence speed, accuracy, power system with the power flow calculation.)

ARINC 429 bus Contorl and set

局部均值分解是由Smith提出的一种新的非线性和非平稳信号分析方法。由于LMD是依据信号本身的信息进行自适应分解的，产生的PF分量具有真实的物理意义，由此得到的时频分布能够清晰准确地反映出信号能量在空间各尺度上的分布规律。(Local mean decomposition is a new nonlinear and non-stationary signal analysis method proposed by the Smith. Since LMD information is based adaptive signal itself decomposed, resulting PF component has real physical meaning, when the resultant frequency distribution of the signal can be clearly and accurately reflect the spatial distribution of the energy of each scale.)