Friday, November 11, 2011
Thursday, November 10, 2011
dissection
http://q.58.com/guigushi/topic_579512_1.shtml
http://news.hainan.net/newshtml08/2007w12r28/326180f1.htm
http://www.zgxzw.com/family/View.asp?ID=66008
http://www.d6go.com/thread-11050-1-1.html
http://www.zhenren.com/action-blogdetail-uid-4-id-522.htm
http://www.zhenren.com/Html/Forum_1670.htm
http://blog.cnfol.com/httpfujiecom/article/33994061.html
http://guigg.com/baidu/kongbutupian/chehuoxianchang/2011/0812/2681.html
http://www.liveleak.com/view?i=167_1189492586
http://news.hainan.net/newshtml08/2007w12r28/326180f1.htm
http://www.zgxzw.com/family/View.asp?ID=66008
http://www.d6go.com/thread-11050-1-1.html
http://www.zhenren.com/action-blogdetail-uid-4-id-522.htm
http://www.zhenren.com/Html/Forum_1670.htm
http://blog.cnfol.com/httpfujiecom/article/33994061.html
http://guigg.com/baidu/kongbutupian/chehuoxianchang/2011/0812/2681.html
http://www.liveleak.com/view?i=167_1189492586
枯荣大师
有常无常/双树枯荣/南北西东/非假非空
枯荣大师是金书最杯具的一个龙套人物——他武功高强,内力渊深,神秘莫测,比起什么卓不凡神山之流来不知道高明了多少倍。
然而,他的结局却是最杯具的。做为一个龙套,他不胜不败,不喜不怒,甚至不生不死,没站起来就在一场古今罕见的恶战中蒸发了。
枯荣长老不过是处于这些人中的一个平平之辈。他一身神功,又等于手无缚鸡之力。一生纠结于枯禅,不过是在勇气与堕落,反抗和沉默中优柔寡断,犹豫不决,不善不恶.
Wednesday, November 9, 2011
10/90 rise time, 2% settling time, peak overshoot--matlab
zeta = \sqrt(0.5);
Ts = 0.5;
wn = 4/(zeta * Ts);
% create a transfer function with the required poles.
Gs = tf(wnˆ2,[1 2 * zeta * wn wnˆ2]);
% Create discrete time transfer function at T = 0.2 seconds sampling.
T = 0.1;
Gz = c2d(Gs,T);
% and compute its step response.
[y,t] = step(Gz,5);
figure(1);
clf;
stairs(t,y,’k’);
set(gca,’fontsize’,12,’ylim’,[0 1.1]);
title(’Step Response of Discrete Time System’);
% 10/90 Rise time
t10 = t(max(find(y<0.1))) +T;
t90 = t(max(find(y<0.9))) +T;
% Note 1 sample is added to each time, since the transitions happen
% somewhere between the last sample below 10 or 90% (which is what the
% command is finding) and the next sample.
% This is somewhat arbitrary, one could argue that the 10/90 rise time is
% one sample longer (from the last sample below 10% to the first sample
% above 90%).
Ts = 0.5;
wn = 4/(zeta * Ts);
% create a transfer function with the required poles.
Gs = tf(wnˆ2,[1 2 * zeta * wn wnˆ2]);
% Create discrete time transfer function at T = 0.2 seconds sampling.
T = 0.1;
Gz = c2d(Gs,T);
% and compute its step response.
[y,t] = step(Gz,5);
figure(1);
clf;
stairs(t,y,’k’);
set(gca,’fontsize’,12,’ylim’,[0 1.1]);
title(’Step Response of Discrete Time System’);
% 10/90 Rise time
t10 = t(max(find(y<0.1))) +T;
t90 = t(max(find(y<0.9))) +T;
% Note 1 sample is added to each time, since the transitions happen
% somewhere between the last sample below 10 or 90% (which is what the
% command is finding) and the next sample.
% This is somewhat arbitrary, one could argue that the 10/90 rise time is
% one sample longer (from the last sample below 10% to the first sample
% above 90%).
Tr1 = t90-t10;
% 2% settling time
err = abs(y - 1);
Ts = t(max(find(err>0.02)))+T;
% again, one sample is added, since the find command finds the last
% sample before the system settles inside the 2% bounds.
% Peak Overshoot
[ymax, tmax] = max(y);
PO = 100 * (ymax-1);
which computes
Tr1 = 0.2 sec
P O = 4.31%
Ts = 0.6 sec
Monday, November 7, 2011
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