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@OrCAD Simulation Server Version: 1.0 @Settings: 0 1 @General: ProfileName= "Flyback shunt reg TRAN" ProfileFile= "Flyback shunt reg TRAN.sim" Connectivity= "Flyback shunt regulator.net" Ne

This program replace original HTC auto backlight level regulator. Using HTC sensors api to get Light Sensor value, HTC api to set backlight level. Simple configuration file and customization how bac

#include "SupportSpotCalculator.h" #include "PlayerBase.h" #include "Goal.h" #include "SoccerBall.h" #include "constants.h" #include "time/regulator.h" #include "SoccerTeam.h" #include "ParamLo

function [k,s,e]=lqr(a,b,q,r,nn) %LQR Linear quadratic regulator design for continuous systems. % [K,S,E] = LQR(A,B,Q,R) calculates the optimal feedback gain % matrix K such that the feedback law

function [P,D1,D2]=gre(A0,A1,B,delay,M,N) %GRE solves the generalized Ricatti equations corresponding to % the linear quadratic regulator problem for systems with delays. % For the system x'= A

function [k,s,e]=lqr(a,b,q,r,nn) %LQR Linear quadratic regulator design for continuous systems. % [K,S,E] = LQR(A,B,Q,R) calculates the optimal feedback gain % matrix K such that the feedback law

function [k,s,e]=lqr(a,b,q,r,nn) %LQR Linear quadratic regulator design for continuous systems. % [K,S,E] = LQR(A,B,Q,R) calculates the optimal feedback gain % matrix K such that the feedback law

function [k,s,e] = dlqr(a,b,q,r,nn) %DLQR Linear quadratic regulator design for discrete-time systems. % [K,S,E] = DLQR(A,B,Q,R) calculates the optimal feedback gain % matrix K such that the feed

function [k,s,e] = lqrd(a,b,q,r,nn,Ts) %LQRD Discrete linear quadratic regulator design from continuous % cost function. % [K,S,E] = LQRD(A,B,Q,R,Ts) calculates the optimal feedback gain

%% VVX-lab. %% Derivatafil med n st T (i vvx) + ipart f鰎 regulator %% function der = labtest(t,in,flag,regpar,vvxpar) rho = vvxpar(1); cp = vvxpar(2); Fk = vvxpar(3); Fv = vvxpar(4);