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************************************************************* * Speed PI Regulator ************************************************************* ; .ref pid_reg_spd,pid_reg_spd_init ; function ca

************************************************************* * Speed PI Regulator ************************************************************* ; .ref pid_reg_spd,pid_reg_spd_init ; function cal

A=[-0.2,0.5,0,0,0;0,-0.5,1.6,0,0;0,0,-14.3,85.8,0; 0,0,0,-33.3,100;0,0,0,0,-10]; B=[0; 0; 0; 0; 30]; Q=diag([1,0,0,0,0]); R=1; C=[1,0,0,0,0]; D=0; G=ss(A,B,C,D); [K,P]=lqr(A,B,Q,R); H=[-8.3,

A=[-0.2,0.5,0,0,0;0,-0.5,1.6,0,0;0,0,-14.3,85.8,0; 0,0,0,-33.3,100;0,0,0,0,-10]; B=[0; 0; 0; 0; 30]; Q=diag([1,0,0,0,0]); R=1; C=[1,0,0,0,0]; D=0; G=ss(A,B,C,D); [K,P]=lqr(A,B,Q,R); H=[-8.3,

A=[-0.2,0.5,0,0,0;0,-0.5,1.6,0,0;0,0,-14.3,85.8,0; 0,0,0,-33.3,100;0,0,0,0,-10]; B=[0; 0; 0; 0; 30]; Q=diag([1,0,0,0,0]); R=1; C=[1,0,0,0,0]; D=0; G=ss(A,B,C,D); [K,P]=lqr(A,B,Q,R); H=[-8.3,

A=[-0.2,0.5,0,0,0;0,-0.5,1.6,0,0;0,0,-14.3,85.8,0; 0,0,0,-33.3,100;0,0,0,0,-10]; B=[0; 0; 0; 0; 30]; Q=diag([1,0,0,0,0]); R=1; C=[1,0,0,0,0]; D=0; G=ss(A,B,C,D); [K,P]=lqr(A,B,Q,R); H=[-8.3,

%% this procedure is a simulation of wavelet artificial neural network (WNN) for modulated signal classification %% the weights of hidden layer are wavelet functions and the mother wavelet is 'morlet

* * * * * * * * reg * * * * * * * * "regulator of an elliptic curve" SYNTAX: X = reg

/******************** (C) COPYRIGHT 2008 STMicroelectronics ******************** * 文件名称: stm32f10x_pwr.c * 程序作者: MCD Application Team * 程序版本: V2.0.2 * 编制日期: 07/11/2008 * 功能描述: 这个文件提供了所有PWR的固件函数.

#include "..\BF561_Regulator.h" /************************************************************************ * INTERRUPT VECTORS USED * *************************************************