Q2_5

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[Content_Types].xml
 
 
 
 
 
 
 
 
_rels/.rels
 
 
 
 
 
 
 
matlab/document.xml
 %letra a
a=1; b=8; k=10.8e8; j=10.8e8;
g1 =tf((k*[1 a]),(j*[1 b 0 0]))
g2=feedback(g1,[1])
% letra b
T=[0:0.1:100];
f=10*pi/180; 
gsf=g2*f;
step(gsf,T);
hold on
%letra c
% 80%
j=10.8e8*0.8; 
g1 =tf((k*[1 a]),(j*[1 b 0 0]))
g2=feedback(g1,[1])
f=10*pi/180; 
gsf=g2*f;
step(gsf,T);
% 50%
j=10.8e+08*0.5; 
g1 =tf((k*[1 a]),(j*[1 b 0 0]))
g2=feedback(g1,[1])
f=10*pi/180; 
gsf=g2*f;
step(gsf,T);
hold off
%
xlabel('tempo (s)')
ylabel('Altitude')
legend('100 %','80 %', '50 %')
matlab/output.xml
 manual code ready 0.41093900155709073 text g1 =
 
 1.08e09 s + 1.08e09
 -------------------------
 1.08e09 s^3 + 8.64e09 s^2
 
Continuous-time transfer function.
<a href="matlab:disp(char('',' Numerator: {[0 0 1.0800e+09 1.0800e+09]} ',' Denominator: {[1.0800e+09 8.6400e+09 0 0]} ',' Variable: ''s'' ',' IODelay: 0 ',' InputDelay: 0 ',' OutputDelay: 0 ',' InputName: {''''} ',' InputUnit: {''''} ',' InputGroup: [1×1 struct] ',' OutputName: {''''} ',' OutputUnit: {''''} ',' OutputGroup: [1×1 struct] ',' Notes: [0×1 string] ',' UserData: [] ',' Name: '''' ',' Ts: 0 ',' TimeUnit: ''seconds'' ',' SamplingGrid: [1×1 struct] ',' '))">Model Properties</a>
 false false 4 text g2 =
 
 1.08e09 s + 1.08e09
 -----------------------------------------------
 1.08e09 s^3 + 8.64e09 s^2 + 1.08e09 s + 1.08e09
 
Continuous-time transfer function.
<a href="matlab:disp(char('',' Numerator: {[0 0 1.0800e+09 1.0800e+09]} ',' Denominator: {[1.0800e+09 8.6400e+09 1.0800e+09 1.0800e+09]} ',' Variable: ''s'' ',' IODelay: 0 ',' InputDelay: 0 ',' OutputDelay: 0 ',' InputName: {''''} ',' InputUnit: {''''} ',' InputGroup: [1×1 struct] ',' OutputName: {''''} ',' OutputUnit: {''''} ',' OutputGroup: [1×1 struct] ',' Notes: [0×1 string] ',' UserData: [] ',' Name: '''' ',' Ts: 0 ',' TimeUnit: ''seconds'' ',' SamplingGrid: [1×1 struct] ',' '))">Model Properties</a>
 false false 5 figure 11890e8b-6f0b-4551-9d27-761db3531b99 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cY3/fGAAVj3Z+MiIq4phzKsVEgDCg2ZRT6HNP9wP5ePubMmZPlP/ZyU+htFf/x7bffTo8++mgPP3JYv8K0K1sYR7WMBcRsDXst0PFABAE9qpuCLeNe/a7KijGW994BxmHTHt+7UiAMKK7qzadc3TLu06dP1ls8whbwvKxifhOI16JeWBtttYvKirB68/3euWUcxWcsfmJ+VUvQQp0JeF2EqAJ7bfgQGHO58r1XwiD2lfECBiIq8p2GuN5UwBYoSVPOJrRND3kz22/6l73C3cL6bKtdVFaE1Zvv985hbBtNYZ6nd4xdHbt27cq4JfwiMviaqAKbGz4kxli2N8v3ppuCF/EQ3pbv9MP1fgrYAgUK9lTAVruorHCttXMYcwf84ox1C5d9wBx1wVDWD4k11uOMg2KVowjsteFj8Gc2qhjjJRPOLS6KG8O0jJEwyPXULO/ybYFS3ip5995WuyisKITOBYFxIToidUQR2G/Dh/4SUnlJKWKNCzmKqMsWKFAKlnFi50AuMPba8DG2+hLVR4S3JXaoS7phgHHuw2urXRRW5N4a+yvL2jIO2n0XBmOWmBMGyctJl+3sUAt5SKVpP/lwpr8CtkCBhrCMEzsHojztdBcEb4U+cOFQkg0f0kGEtyV2qEu6YYBx7sNrq10UVuTeGvsry9oyNnffNV88idZUTFIbPgBj+0mEM+NXwBYo8decX4kcT7x48WJViJ59DVnbwnUFjD9KBMQuB333nS5dUKwxn4fsbeETDWdEUyCNMJY3PXPbea+AfoRt+kDWNiLAmIjOr6jPJJXXN3zIZPKDsR5rzOfi5aTRgIOzo/mMZY0jSbrpb1A3N2xIO8UqlnSayNrmPYJlDeOw3XciGWKNk3T7l0dbvCxjXr9I2qFvhpLdctJG2WmHrG12owYYa+++M3ff6TDm/w+LNb7+kTbiKAzZMGI3BDgLCvRUII1uCr0X4rK49tpr6YYbbkhU1jZpJxbwHN95UQSWrc7yuiVz95001W/jB1JpOh7MMi4+7TDmoUtq1jbAuEA3li2M/bZC67vvdBjL20DMbpixxkuf7siKxihQt1FNiSmQRhhLDmL2DZt+4rAFPH34pBxkbUv5pM4Fxseb76e9xzppxqULKRcYy6tneOMHYJzyCZSQ5qcRxmINS2ib3wtJkbXNe5KVrc9Yt4zDYIyNHwkhVBk1I60wTsIQ2Wpna7gVqk9lD2MzL4W+4UMGIQjGvHMPeY0LNV3Lpx5boJSPIvY9tdUOMLbXNKczbQU281Lc9/qAHrvv9AYg1jin4cBFOSpgC5Qciy/py2y1s2VFocQqW8tYhzEvwnlthbaFMW/+qHniTXU6Nn4UauqWdj0MlAMHDtCoUaNKu6MOeie6bdiwIbB0wNiB+HqRtgLr4WoMY16889p9J2XbbvxIaqwxZ5STTHSOhwDFx6SAWHgxFVdWxYSBmMWwZUWhhCtby1iSBIVthdZhzP9vbvyQWGOxjBnGfCQplSa3ac+xTtWusdUValMKwFyoWwz1JFUBwNjxyNgKHBXGths/kpbX2Hw4SPidVwif46FB8VAgUQrYsqJQjYZlrCUJuvHmG323Mvu98YMHit0cSYw1FovYjBBBPHShbi/Uk2QFAGPHo2MrsPiAu8+OUhnb/LZCS3PTBmP2EV//yK89N7Fwn7DQ6HgiovjEK2DLikJ1pGwtYwlVe//wvxFHQzCMg366Jz3WWN5W3Xv4F5WV/pW9Fwb6rmEdF+oWQz1JVQAwdjwytgLHDWPuFieZL4bVyRtP+ODNJ7yg2PXSr1So3uTvrghcqIN17HgyovhEK2DLikJ1oqwt409e8xiFbYXWByKJGz8ExPIg4PZuvfd7dMWhn2Reluo3mWAdF+o2Qz1JVAAwdjwqNgJHyUthC+NibPwwU3hKW3nhbtZz99CXb75RuSyCDljHjickik+sAjasKGTji24Zd3R00OrVq4mTUdfW1lJdXZ1n/9etW0cHDx5U3/Xt25caGxupoqKix7k2AvvB2CsvhV5BlI0ffJ3rWGMvq1gW7p7ot1tZxxLlAeu4kLcV6kqDAjasKGQ/igrjzs5OampqoilTptDQoUOpubmZhg0bRhMnTszSoK2tjQ4dOpQBNYOZDy9w2whswjgsL4U0Rn+btN5A00ItRKxxkFXMGzz4wSKLerIhxWtiCbyXfqkKbygp5J2HuoqugA0rCtnIosKYreKWlhZqaGhQVu727dvpyJEjVF9fT7179/bVgeG8ZcsWT+vYRmCBMWdsk7wUv73yjlBLNsrGD9d5jb2sYhZM3+QhMA6zjuGqKOQth7qSooANKwrZ1qLCmKG6a9euDHyDIKuLEgRtFri9vZ1qamrUJfPn9/SZeiUJsoVx0Bs/CrnxQ3/DiGjjFVvMQOYjyHeMhbxC3nKoq9gKCISFE16MKEYbiwpjE6o2MGZreu3atTR79myqqqrqoVkuMA5LEiSV2G78CNtwETbQbLmfPfk8nV95Nelv35Xr/FwUUq/u+xbr+LJlT6jQN78D1nHYqOD7UlEAMPYYyaiWsSz2zZw5k0aOHOk5N2x+eoi7wTZJkFSkuzfMyvUk8/wdwy2X/A/slxYQ87+9BzdQ78HfyqrOxkWhX6Bv1/a7oQrh5y6Vmxn9KA0FbFhRyJ4W1TKO4jNmcIt/2csiFtFsBPZKEhSUl8KEMccnmxarCchcLE3T8hb4m0DmutjtYFq6fg8Am4U8uCoKeduhriQoYMOKQrazqDC2jaYIc03ogtkInCuMuZ6gjR/5xBr7bbcWQAuQw1wUfta4jXWcywOkkJMVdUGBOBWwYUWc9YWVVVQYc+P84ox1q3n//v20bdu2rL74xRrbCGzCOCwvhV6xLYyj5jX2C5vjus1XRPFn+o47/tsvQ5u03XSjeE0MuCrCbhd8X0oK2LCikP0tOozj7qyNwAK+M2/UWiUJsoGxmWQ+CtiCkhBJ3fIQOPHoPvWRF4z5c7+NJml2VfDCpH4gMX7cd015lmfDikIqU7Yw7tXvKrLN2KYPSJSNH7axxrJox3HPfodYxydaPvTMOWGzYJg2V4X4sU1N8LaSQiKidOsCjB2PrY3AupW591inev+dbeSD38YP7lauSea5PRzGZr7SyZSKz3v/8Fm6bNEfsr6yDaVj65gteNOq1guLYtG7HEp9ZyDXw6+KEgv5XBs7CbsGXY5A6Zdtw4pCqlCWlrEXjMPyUsigxB1rbOOikLpPPjmVzjv/AJkWtG0khE3MsW1ZuU5S2YQi13P+ZTMqRPzfQbCVdrKV7DoHSK59xXXJVgAwdjw+NgIzjM30mXHAWF8ks7VWbVwUIhmX/4kr23rEHkdZLCyWq0IeBNwXBnDm4fbSr9TfEqoXpS+sMUOZDwDZ8Y1VgsXbsKKQ3S5byzhXGIdt/ODBi5JkPiiKQp8IskBYefu1PazjKCFptgt5DLq4ABeUI4P7xd9zQnyG8uXv3WntMhJ9ogC8kDcX6kq2AoCx4/EJE1h3C3T8yyT1RgybvBTS7CC3gumTDYNkFBeFCWOJO7a1wDOujs0PKvgFbY+O01Vhm6zoZ0/tUO3iY9KCFYFbt72mEIDs+MYqweLDWFHoLpedZZwvjHmAosQacxgWLz55HUFWtnm+vsNPr98rH0XYJLJ1Vez4x18S+2R5cZEPrzwZQXXZ+Kjlen5wcV0tb69UVnJYLg2vesMefmG6xP29uFDMcmUxEiF6cSserbyygfGmTZto+vTpSh3etMHHhg0baNWqVYHpMaPJ2fPsMIFNGNsmCdJrsoVxWGSCrYuC69ZhrC8i5mIRBrkqpGyvcTiXuOiqHrkyvM6NAmJzw0qUa/W6487NzL9G5JD3CwYlW+JzBcAc1sgPF4764H/l4L/lkM8ZzgBzvnd+9OvDWBG9xPyucGIZr1ixgt544w1auXIlLVy4kGbMmEGjR48m/pyPRYsW5dfqgKvDBDZzGTOMbfJS2MDYK8l8UKyxH9S9umemzJRrb/zFf1CnR/HvZlwet87PpNZkXTg9KB8M3NbOIfRPmz+uktTzId9z8iI+vBIYSbu9yvcbMj83i617wyxXXCy5hL2Jm8SM+DDrkAVIPT+IHhPNkA36RWSG6HH5iJ12hgTfgsNYUegWxQ7jkydP0ty5c2np0qV0+eWX07x58zIwPnr0qPp8zZo1VFlZ6aSvYQKL5Xdh9SZ6fcktKsY4KoyDLFodmkG+11z8xfpPd+lH5d71kRe8WHjdVeGXkMjvZ79uPUfJKuc14F6WPbeHj3d/uYq6XnqOeg+/hvpoERjiNjn34DjnQtGPqEA2Iz3E+tWjPqR8dqHIG7jlswMXDlVrD1HnkVwvUSFiNduAWax2bo/fYbY/yKrXXSrcHt2C9ypft/b5wXPdZ89Z/0my8M2dm9IPaWMYK5wAKqDQgsK4tbVVWcfswnAN4/fee8+z26P6/4auGvAbeuEP36DqZ5sVjPtc3IfGXvCatfZcBluIbWf+pcc1t724ll78uyvpt5fWEl02gpYeuYjG/vEpGvvZS7LOlXY0//o/htb7+bcP0hV/PESPXTE769z6L/wPanr1Zjrwv8/rUX5YoVLmp1d+R1nETY91Up8h2ak69/y7m2jPnr20dPi7nsWN7PUjGv35C5VP+cDxEdT62w9p7tC/VQtx68+7gvp83j9/sirw6pnEvxzEN33mxAtKV/M4c/wv6qNe/T/m262/+rWvUuesPHTpuY0hw97xvWZUvwtUW3v1P0+dIwn4uR02Bz8ozIMfHKqt/c61I8rB7d3z+79u/eY5M/rio1lFeNXpVceZt89p5nVIG/m7+17vH9hEc97yyXobvS6+6sOX6brq7Pku5wVpFtQQ/WEs5+kPjLA2+ZXd+tsPaP+P10YZJmfnxg5jbinDdt++fVluiiFDhtC0adOUlcz/ujrkaceJ672O73y9QsG4aUMNzep+kThJEMOSXj9s3SQpY/KqgT2uWVt5lJqP/CkD4z1/d7Nn+Xf/0+/UtQ89MyS03ll/eVGds/5jV2SdG9SO0EKJ6CfD/i9dPKEXvfDWv6f7/udffZmZa784k/Z8+Bka23bOveR1MIy5HQJRBueeX7xPP/rj532vYcuXrxvz5atodMVfYcPt4INvEP5PDgY8P4wyuhKp6+Xg/9f/9gK6jR58jm51S1t6XPvpERkgLbzyj5mvuc3SDhM6QQ8SedgEtZGtbz78IBd07V4jt4ecK2V5AZJh3utS/4efX3066Pkcv7ptx8PvvFEfvBy5CLNt7e1H1TxrePBI5LJcXOAExmoSt7bSmDFjstq8ceNGpyDmysJ+epiJ5aNkbJPOBO3C80oy7+W/jOov5p+cXsmBtl42OdB/6zdpxDXRfXYUVU563Hdu2UYocHmnnpyqyuFJLwny9YJNSLJVv3TCua3gYZEa4ofWN4iE3RDcJt7uztY3j8HnD61XkRp8sBV80XXzworo8b2tC0RcGaZLI6xCfUci/z9DWLZ/y7XikxbXgFnm3t+fe7Ca7ga5jr/zi/DRFy392mq7mCnX6+4CaZu0z6sO09Wh9zNON0gYK8LGKu7vncE47obalhcmcD4Z26QN+cYa5+svlnawv3XU2Z9S48CnemyRDtJLB/HJR/eFxhzbbADRIyDEomL3B/9c55/9+s92WRyMusimbxAJe8mq3v+t936Prjj0kwyEg94H6Keb7teN2m69TD/YhUVpCLwYZmE+XT2KQ+DlB1/b+6oUzwtjRaH7DBh/ZmPkBbAwGOtJ5hmY5sp6lPhiv2TyPFEkU9s/vDQyknWsW+VhMcc2G0CiRE9wu8NyL4fdBOaCm/nWE90alciIF6+8g245MS6n5EJ6HoykhaEhvWjYbPH/vmRhzFEU7AveuXNnoDoTJkwoyAKe3xtfxTJ+5+k/q5+wvIBnm5dC71g+scZR4ov9YoL1kLCrzv5ULcIFhZtJ2826bbZHh7kq/N7J5zUR4owFlh2P4nrgn/V6dIFYwPJvVKjq4Wr5WMO54wJXulSgZGGsi8YLeLzBQ4+aEFjhuywbAAAaRUlEQVQXagGvWDC2iTWOAmM/0JkWq/ixvd7Px2Mj1rhXqs58rOMgy93rRsplk0rYDWmGeQW5IXR3g4SQcfnyc17ftMGfA8Jh6qf3+5KHsUCXN3bwRg/9SEKcMYOQ/Zf8xox8LON8Yo0la1zYohVr5wdKv/jcPz13m8pIp5dtvkfPvH3CrOOgRStun9fiYpBVbJs72uVtbsb2mnUBwi7VT0bZZQFj2fQxePDgLNULGWfsZxmbuYzXX3N/pN1r0iHbJPPmDrM4F++4LebOOwGvhGhJVEPQNmYbn6+XqyIM4uYt58IqjuO2ht81DhXTV0bJw5iHJMluCh3G970+IFLGNn262SaZ52t0kAVdZ05nm8U7r1Afc2tz78HZmzm8bpswsJpukajuiajZ5dJ3a6PFaVOgLGDMg+IVZ8wJg0zXRdwDGCawuAhySZ9pC2PTz6vDOIq/2GbxLs64yzDfsd6PKO4J1i2pVnHc8w/lpUeBMFYUuidlF9pmwrjfrfN9A+CDBiMsvE1/15we3hZls4ft4l1ck8bWOn7tb3+gqgx6l57eJrGqk+ArjksrlJN+BUoexmEhbsUMbfNKn5lrcheeirbhbWIVPn3rn8lrgc1vWkdZvIvr1ggLU6ufNZfq33nSOt9wnKFscfUR5UABVqDkYew3zF1dXbRkyRKaNWsWmQt7cU6NIIEz4V0X30XHm+/PKWOb3lZbGItl+OcFfRSMzReKevU/yCfr+ie/nwtCLGeOzX7hB3daDZvrtlo1AidBAQ8FyhLGnZ2d1NTUREeOHKG3336bduzYQX379vWdIB0dHdTS0kINDQ1UUXEuNR8n/tm2bVvmmtraWqqrq+tRRlQYN919e85p/yRMzlwg84s1fmfSOtXei0Y/Fnpz5Lp4F1qwxQnme+l4q67sZOM0np/4yQdW8bdwT1iIjVOKpkDZwZgt4ubmZho2bBh97nOfU1nbbr/9dvrWt7xX+BnEq1evVm8DaWxszMB43bp1NGDAAJo4cWLg4NnAWM9lnA+Mo4a3PTXiPhp/1Q1Wb8pgdwHvJqt54s2s/hYyKkF2uEneBHMnW1AsLtwTRWMMKrZUoOxgzFYxw3XmzJnEWdsOHz5MVVVV6g0gYvWKdm1tbcoivummm9SrmsQyFqCPHz+eRo4cGRuMc8nYplduG94mYDp53aweGzL8OlPoxTvL+Zs5LcjqBYijqonzi6FAycM4aAFvxIgRymn+zDPP0OzZsxWUvQ7TTSFujlOnTqnT2cWhW816GVx+e3s71dTUqI/1zR8Cz+4P5qqf3S5hbKbSHLPih8SWsd92ZVOHYizeRb0hvHbm2aaYjFoXzocCcSkgEBZO+G0Qi6s+23Kch7axtbtly5YMPBm0a9eujQRj8xp2WZw+fZrq6+t7vNw0KoxzSRIk4kYJb/vZjqXECX2SvnhnO3HkPPPdb+rtGl+qyilcMGrdOB8K5KJA2cBYfwceR03oVi4v3t1zzz3KImafsa1lbAoeBPSgnx66Zfyzp3bknLFNb49tREWUzR6yeGf6i7leSZsZ52aPXCa0fo2+nThJ7cq3X7i+tBUoCzeFnptC9xm/+eabCsajRo1SLyY1fcYy9F7RFPq0CPo+DMac6Dzf9Jm5wJihzW+2aLrr3BuYgw4/f3EhF+/C2ojvoUDaFShZGHttf/YarK9+9av0la98xTMszQ/G7OrYtWtXxi3Bbgo+ooa2mbmMc00SpPfLz+LVQ9P4zRccX3zz4e/Q/kXfDJ3DSV+8C+0AToACKVCgZGEs2ptuCv5cX4Crrq7OQNXPwg2LM9bLMMc8SGAXMLaJqOgz4m9U8vfKveut3iqShsW7FNxraCIUCFSg5GFc7PG3hXE+Gdv0PtrAuNenDqpLLn6yLnRxq5g774o9dqgfChRSgZKFsYS0ffOb36Qf/vCHvq9fKmZuCrGMj6/aS80XT8o5faY5YfwW8cTd8Ikr29Qrkfr8+B+sYVzMzR6FvCFQFxQolgIlC+NiCRrVTcFJ1v+w8D4F41wzttnCmGOZ3927ii6e0EvFF39p88d7vJzULAuLd0mZSWhHqStQ8jD28hnLoBb7tUtiwTKMOdlNPhnbTFcFR2mYOScYxmc7H6Ze/T+m4os5JjfstfdYvCt1BKB/SVGgrGFc7NcumTDOJy+Fjd+Y/b9/ar2Neg+/RoHa5rX3vHjHyXgkH4TUg+xnSbmF0Y5SUaBkYWwb2rZ8+XLil5W6OoIEZhh3nx1FJx/dpyzjuGAsO/HYL6xncNNTdl503TxlFV//yK99IyrCMrVhZ5urWYNyy1GBkoWxDGaQm6IQAx4G4/O1XMZxwZj75bWIp+/4k4xnXi/2FF2SkKmtEGOEOqBAEhQoeRgXW2Q/gb0Sy8cJY68QN47e6HrpOfrzG7WZVxSFwZj1M19nJBZ1Pnk0ij0uqB8KJE2BkoVx2OuWZCCKFdpmwpgztsUJN4GxuCqkvj+/Xkvv7m7N5CUO8v3CX5y02xXtKWUFShbGSRm0MMtY4Bg3jLn/erJ5iWk+v6KeXl9yS2ZRzm8RD5s9kjKD0I5yUaBsYSwLfMW2jF3CWKxhmcySu1jf3uwHY/iLywUB6GdSFCg7GK9YsYIWL16s9OeE8qtWreqRgzjOwQmzjDmxPKfPjCNJkFe7GchnTz6fFVVhJpr38htjs0ecswBlQYFwBcoCxqb/uBAQFunDYPz/Do2kvcc6ncHYawrIW5Vli7MJY7gowm8cnAEF4lagpGGsxxoLgDn95YYNG5xbxGEwlgW2YsDYhK25iBeUTB6bPeK+BVEeFDinQMnC2C++mAFd7jDmgQ/yG8NFATxAgcIrULIwZik598TUqVPVG6CTaBnLWz44fWZcSYJsp5C89p5jiPWdeKM+eDkr2kIvL2zHnm3dOA8KQIGeCpQ0jKW7XV1dNG/ePPXiUT6S4DOWsDNJn1kMGDOQTb/xPZe95QtjuCiAECjgToGygLEu36ZNm2j69OkFg7KfwGYu40LD2HRVCGhb3l6ptDF33fFnvNA3trqCnp0z0t2MRMlQoEwVKDsYyziLC6N///7EgK6srHQyBWxgHGeSoCid0KMqON54x1M7aMPbKz2ztMFFEUVZnAsFoitQtjCOLlVuVyQZxrp1fODCoVTd8p/pxSvvoMkLvt+js3BR5Db+uAoK2CoAGNsqleN5QTDmpD3vPH0m1vSZUZspYWx8XdDbRoISCkWtE+dDASjQUwHA2PGsCILxmbf/Ensu41y6w0Dm5PF+W6PhoshFVVwDBaIpABhH0yvy2X4Cm4nlX/jBnZHLdnGBlwUMF4ULpVEmFMhWADB2PCNsYOwiY1uu3TKtY/n72TlfUC8vxQEFoIAbBQBjN7pmSg2C8fuHz9L7h/+NkgRjbriEsDF8lz7dEWueZcdyo3gokFoFAGNj6Do6Omj16tXEG0Vqa2uprq4ucHC3b99Ob731lu95QTCW9Jmzx21PVOwu+4jZIuZjyYQqWMSpvb3R8DQpABhro9XZ2UlNTU00ZcoUGjp0KDU3N9OwYcNo4sSJnmPKIN62bVsgtL0E1t+6seu5UwXN2JamyYm2QoFyUgAw1kabreKWlhZqaGigiooKYtgeOXKE6uvre+Q8XrduHZ0+fZoGDRqk/vWzoINg/M7OM9T6zmDAuJzuOPQVCvgoABhrwnB6zV27dmXgy39v2bKFGhsbFZy9jlzcFGIZA8a4L6EAFBAFAGNtLpiWcFwwbm9vp5qaGlXT/PnzyYTxsRn/XflmcUABKFB+CgiEhRPMiCQc53V3d3cXqyGuLGM/GHNi+WKkzyyWvqgXCkCBngoAxh6zIorPWC7Px01xouVDtQV58ndXIGIBdykUKHMF4KbQJkDUaAq+NBcYyyuXAOMyv/vQfSigKQAYG9PBL87YtJrzsYx1GBcrfSbuAigABZKlAGDseDy8BNbf8gEYOx4AFA8FUqIAYOx4oPxg/O7eVZn0mUlJEuRYChQPBaBAgAKAsePp4SUwv3JJz2UMGDseBBQPBVKgAGDseJAAY8cCo3goUCIKAMaOBzIMxklLEuRYDhQPBaCAjwKAseOp4Qfjd3fvV+kzAWPHA4DioUBKFACMHQ8UYOxYYBQPBUpEAcDY8UB6CcyvXOLE8nuO1iBjm2P9UTwUSIsCgLHjkQqDMZIEOR4AFA8FUqIAYOx4oPxgLOkzAWPHA4DioUBKFACMHQ9UGIwvW/YEkgQ5HgMUDwXSoABg7HiUTIH1XMYPffA1ZGxzrD+KhwJpUQAwdjxSgLFjgVE8FCgRBQBjxwMJGDsWGMVDgRJRADB2PJB+MOZcxpyxDXkpHA8AiocCKVEAMHY8UICxY4FRPBQoEQUAY8cDaQpsJpaHZex4AFA8FEiJAoCx44EKgvH6a+6nprunOW4BiocCUCANCgDGjkcpCMZIEuRYfBQPBVKkAGDseLC8YCxv+QCMHYuP4qFAihQAjB0Plimw/paPx+paacmEKsctQPFQAAqkQQHA2PEo+cH4mV9+lpCXwrH4KB4KpEgBwNjxYAHGjgVG8VCgRBQAjB0PZBCMkSTIsfgoHgqkSAHA2PFgecGYX7nEieUBY8fio3gokCIFyhLGnZ2d1NTURKdOnaLq6mqqr6+n3r17ew7bunXr6ODBg+r7hoYGqqo6t+C2fft22rZtW+aa2tpaqqur61GGKbC85aPp1a8iY1uKbhQ0FQq4VqDsYNzV1UXNzc00bNgwmjhxIjFs+fACKQP3yJEjCtYvv/wybdmyhRobG6miokJdN2DAAFVG0BEE4+b1a1yPL8qHAlAgJQqUHYzZKl69ejXNnDlTWbltbW1ZkNXHTQeuWNNTpkyhoUOHKqCPHz+eRo4cGRnG/JaPr9MCJAlKyU2CZkKBQihQdjDu6OiglpYW5XJgC5f/Xrt2Lc2ePTvjgmDhxYIW4OoW9ZgxYzJuDj63b9++GYvZHDQvyxgwLsTURh1QIF0KlB2MTUvYD8a6JczWrw7j4cOHZwGcLejTp097+p5Z4Pb2dqqpqaFBlafpur6biGH8o+om5KVI172C1kIBJwoIhIUT8+fPd1JP1ELP6+7u7o56UZTz47CMTT+xH9C5XYBxlNHBuVCg/BQoWxjH4TM2/cQm4PXppP/00N9/d8fwp+jZOcH+5vKblugxFChfBcrOTRFHNMUrr7xCu3btyrglgiIyvGDMb/lAXoryvenQcyjgpUDZwZhF8Isz9rJwbeKMg2KVAWPceFAACtgoUJYwthEmrnN0geUtHzs2D8Luu7gERjlQoEQUAIwdDyRg7FhgFA8FSkQBwNjxQJow5sTynD4TeSkcC4/ioUDKFACMHQ+YLrAklmcYT9/4C8c1o3goAAXSpABg7Hi0vGD8/RduIuSlcCw8iocCKVMAMHY8YICxY4FRPBQoEQUAY8cD6QXjh977L9gK7Vh3FA8F0qYAYOx4xEwYc2L55k/8V8DYse4oHgqkTQHA2PGI6QJLYnnA2LHoKB4KpFABwNjxoHnBeP2oX9KSCefeGIIDCkABKMAKAMaO54EJY06f+a93v0hjqy9xXDOKhwJQIE0KAMaOR0sEvuufR9OfnrtN5TIGjB2LjuKhQAoVAIwdD5oJ42f2fpYunbMZlrFj3VE8FEibAoCx4xHzgvHUB59xXCuKhwJQIG0KAMaOR8yEMWdsw1Zox6KjeCiQQgUAY8eDJgLPmfg31HV0NT370jSavOD7jmtF8VAACqRNAcDY8YgBxo4FRvFQoEQUAIwdD6QOY06fia3QjgVH8VAgpQoAxo4HTgSuu/ogdb30HLX1/yF9+eYbHdeK4qEAFEibAoCx4xEzYfzJ0Y9Rn+HXOK4VxUMBKJA2BQBjxyNmwvjlf/wNYowda47ioUAaFQCMHY+aDmPO2Pb72/8PYOxYcxQPBdKoAGDseNRE4P/0uTW05+jnaNI9TzuuEcVDASiQRgUAY8ejpsO4++woqpz0uOMaUTwUgAJpVAAwdjxqOoz3n5hBN9+x3HGNKB4KQIE0KgAY5zhqnZ2d1NTURKdOnaLq6mqqr6+n3r179yiNBT578nni0DbAOEexcRkUKAMFAOMcBrmrq4uam5tp2LBhNHHiRFq3bp0qpa6uLhDGn7zmMerV7+ocasQlUAAKlLoCgHEOI8xW8erVq2nmzJlUVVVFbW1ttGXLFmpsbKSKioqsElngT3f/jMbXHKMLqzeVTIxx0iZODsPo+eDkD+fPnx9HcYkpA2OVmKEIbEjSxum87u7u7qRL19HRQS0tLdTQ0KDgy3+vXbuWZs+ereCsHyzwdX030afPnKRLv/GvSe+adfuSNnGsGx5wYin2ibtbiv1Cn+KY8cFlpALGpiUcBmP2GVf1PU1/OO/L7hUsUA3t7e2qppqamgLV6L6aUuwTq1aK/SrVPvH9lJRfZqmAcRTLWLdM3OMENUABKJBmBZICYtYwFTCO4jNO88RA26EAFChfBVIB4yjRFOU7lOg5FIACaVYgFTBmgW3jjNM8GGg7FIAC5atAamBcvkOEnkMBKFAOCgDG5TDK6CMUgAKJVwAwTvwQoYFQAAqUgwKAcTmMMvoIBaBA4hUoORhv376dtm3bpoTnHXojR45M/CCYDeTcGwcPHlQf9+3bN2vbdyksZEofpkyZkhmftPZLbzcnruJdorIrNK194rh+Tj/AUUxmUq609onvqQEDBqjcNnIEsaIYHCkpGOs79U6fPu27ZTrJdOY+HDp0KJMESU+KVCohfvKwkYdlWvtltpvHbteuXSqjIB+2ya2SNB/NB2UpzD+ZbzfddFMGxkGsKBZHSgrG/DR76623FMjMGyVJEz5KW/SJwdfZJkyKUkchzxVg8cNSLOO0buphC5J/hfF8M9O5prlPet4XvqeOHDmiHjAffvhhquafMOCSSy5RU1y3jINYUSyOlBSMzZ8iQak2CwmgfOrSb4bjx49bJ0zKp05X1wqg2ELhrHsC46jb3V21L2q5/GDZv38/ffDBB3Ts2DEFZHFTpLVPQb9S0tonHlcvNuhw1llRLI6UDIy9LOG0w9hMiBQlYVJUsBTifH6w8DFmzBj1ogCBcVr7xe0WK5LXJvQH58svv5yV5jUouVUhtI9Sh9xL/IDx+2kflj0xSn2FOFcHbBArpk+fnuVeEpDzv1750+Nse8nA2O/pVwgR4xwQKUsWUTiHsyxCptky0X/S889dHcZp7ZfuI2arWAcuj6Nt2lcX8yfXMs2HRqn8MoNlnOuMyPG6Yvl6cmyu72V8k8uNrOdrTqsfkjuqr07rHedFvEGDBqXKF6k/MP2Ay37KNPr3dfiaD5i09snLUIPPOG5qGeUVaxU0zm4F/ZxNStRBa2srbdiwgVatWuX5HsIwPcwVe5f9OnnyJM2dO5eWLl1KgwcP9m3apk2b1HfTpk0LbP7Ro0dVWWvWrKE+ffqon7Tjx49Xv17Y+uKFyaREU3DfuT+LFi2i0aNH+/aLz1u4cCGtXLmS3n333awoJIYWjze/VeeCCy5IZYSIF4wRTRF2l8bwfTHiA2NodqYILwtSjzVOQpxn3DDmzrvq14oVK2jcuHGBMOL6+YGwZMkSmjVrli+0vc7R2520mHBbGHP/eUx3796twC2+cP68VGKnEWccJ6VQViIU4JuWF+D4mDBhArFFWVlZqf7lxQ8+RowYQY8//riCmliSX//61+lrX/ua+n758uV066230tSpU+nw4cNZ5TA8L7300gwQ9LL4WgHMzp07VVkbN270tWa57vXr19OyZcsyFjyXv3jx4h7tFyAFWfw6sPh8Ll/6YLaFwT1v3jxlZfLB7hj9l0TQtbrGev/Fyr/++utVeeYY8N/6OPA5r776asYytmnvjBkzQh9ciZiIJdiIklrAK8HxSWSXTMuYAbBv374MbPh7hh5/fuLECQWsyZMnKygIEPr376++55/6DK1rr71WQVVgySFj/NOay7rzzjsV3Pv166fOYWDwvwJm+dsUi8tif7S4Hsx2mn8HuTQErgIr0+rU/2aXhd4nbhe3hQ/WIOhaPkf6yw8zr/4PHDhQac0H1/OpT31Klcv94YeJPCB1LYcMGZLlsvCymvm6V155RZWFo/AKAMaF1zz1Neowfv/99z19sgLC2tpauuuuu+jhhx9WlrJATeAr1pxAQIcWf6efz3/r0BdrVsDPFrocJjylHvN6fTC82ibfm6AOcgF4uXH063mru1c7/OoXTebMmdPDBywPlHvvvZcWLFiQeahxu/U2mjD2moT6Q1TXMvUTNiUdAIxTMlBJaqYOm9deey3rp7reTnYh+MFY/zmsW2SmNatblVK2brnpC2o6QLysXN3FYbo/pGzzYSCfe9WjuwTY9SLt0j/X9ZA6N2/enLGS9e/9AC/6BMGY62Z/t75YZz6Q/Nqr91F/cCZpzpVDWwDjchjlmPtowjjoBmaIeVnGrmFs1utlAbM/V/d7m1a6fk2Q1aj7ePkB5GXB62X5Ad81jKUNZnvFjWMbeRLzdEJxHykAGGMqRFbAdFMEhU/lAmNukFiZubopbMDiBb8olrEpnLgM2EfOm1rEd+t3nhka6NJN4RXaZvrMgx5gkScJLoisAGAcWTJc4LWApy8c6ZDjRbeolvHWrVsz0Ri6RcrK2y7g2fiMTWs3H5+xfu2kSZOyFta43V79EJeCfi0vzoUt4OmuCB2oHJKm+8+DFvC8+gqfcXHvbcC4uPqnsnaBLScukhA2PWSMOyXRELlYxm+88YYKyeLwtXxC20z/sxlu5lW23wYRL7jrP/e5z7rf2AzBM90hZpiZfm1QaJv5K8QrQkRCDB966CGlocA7qL1BLppUTtIUNhowTuGglXKT/dwEufTZb3HPrywzjtg8L9/NLrn0oVDX2Gx6KVRbyrUewLhcRz6h/Y4TxtxF1zvwEipj5GaFPYgiF4gLIisAGEeWDBe4VCBuGNss5MlPdPFJB/UvqrXtUqu4ytZzUyC+OC5Vo5cDGEfXDFdAASgABWJX4P8D0xUA+y6aPVcAAAAASUVORK5CYII=
394.44445489365404 296.6666745256497 6 7 13 19 20 21 22 23 6 14 15 25 35 36 38 39 40 text g1 =
 
 1.08e09 s + 1.08e09
 --------------------------
 8.64e08 s^3 + 6.912e09 s^2
 
Continuous-time transfer function.
<a href="matlab:disp(char('',' Numerator: {[0 0 1.0800e+09 1.0800e+09]} ',' Denominator: {[864000000 6.9120e+09 0 0]} ',' Variable: ''s'' ',' IODelay: 0 ',' InputDelay: 0 ',' OutputDelay: 0 ',' InputName: {''''} ',' InputUnit: {''''} ',' InputGroup: [1×1 struct] ',' OutputName: {''''} ',' OutputUnit: {''''} ',' OutputGroup: [1×1 struct] ',' Notes: [0×1 string] ',' UserData: [] ',' Name: '''' ',' Ts: 0 ',' TimeUnit: ''seconds'' ',' SamplingGrid: [1×1 struct] ',' '))">Model Properties</a>
 false false 20 text g2 =
 
 1.08e09 s + 1.08e09
 ------------------------------------------------
 8.64e08 s^3 + 6.912e09 s^2 + 1.08e09 s + 1.08e09
 
Continuous-time transfer function.
<a href="matlab:disp(char('',' Numerator: {[0 0 1.0800e+09 1.0800e+09]} ',' Denominator: {[864000000 6.9120e+09 1.0800e+09 1.0800e+09]} ',' Variable: ''s'' ',' IODelay: 0 ',' InputDelay: 0 ',' OutputDelay: 0 ',' InputName: {''''} ',' InputUnit: {''''} ',' InputGroup: [1×1 struct] ',' OutputName: {''''} ',' OutputUnit: {''''} ',' OutputGroup: [1×1 struct] ',' Notes: [0×1 string] ',' UserData: [] ',' Name: '''' ',' Ts: 0 ',' TimeUnit: ''seconds'' ',' SamplingGrid: [1×1 struct] ',' '))">Model Properties</a>
 false false 21 text g1 =
 
 1.08e09 s + 1.08e09
 ------------------------
 5.4e08 s^3 + 4.32e09 s^2
 
Continuous-time transfer function.
<a href="matlab:disp(char('',' Numerator: {[0 0 1.0800e+09 1.0800e+09]} ',' Denominator: {[540000000 4.3200e+09 0 0]} ',' Variable: ''s'' ',' IODelay: 0 ',' InputDelay: 0 ',' OutputDelay: 0 ',' InputName: {''''} ',' InputUnit: {''''} ',' InputGroup: [1×1 struct] ',' OutputName: {''''} ',' OutputUnit: {''''} ',' OutputGroup: [1×1 struct] ',' Notes: [0×1 string] ',' UserData: [] ',' Name: '''' ',' Ts: 0 ',' TimeUnit: ''seconds'' ',' SamplingGrid: [1×1 struct] ',' '))">Model Properties</a>
 false false 30 text g2 =
 
 1.08e09 s + 1.08e09
 ----------------------------------------------
 5.4e08 s^3 + 4.32e09 s^2 + 1.08e09 s + 1.08e09
 
Continuous-time transfer function.
<a href="matlab:disp(char('',' Numerator: {[0 0 1.0800e+09 1.0800e+09]} ',' Denominator: {[540000000 4.3200e+09 1.0800e+09 1.0800e+09]} ',' Variable: ''s'' ',' IODelay: 0 ',' InputDelay: 0 ',' OutputDelay: 0 ',' InputName: {''''} ',' InputUnit: {''''} ',' InputGroup: [1×1 struct] ',' OutputName: {''''} ',' OutputUnit: {''''} ',' OutputGroup: [1×1 struct] ',' Notes: [0×1 string] ',' UserData: [] ',' Name: '''' ',' Ts: 0 ',' TimeUnit: ''seconds'' ',' SamplingGrid: [1×1 struct] ',' '))">Model Properties</a>
 false false 31 true false 0 1 1 false false 1 3 3 0 false false 2 4 4 1 false false 3 9 9 false false 4 11 11 false false 5 12 12 false false 6 13 13 2 false false 7 14 14 2 false false 8 18 18 false false 9 19 19 3 false false 10 20 20 4 false false 11 22 22 false false 12 23 23 false false 13 24 24 2 false false 14 28 28 false false 15 29 29 5 false false 16 30 30 6 false false 17 32 32 false false 18 33 33 false false 19 34 34 2 false false 20 35 35 2 false false 21 37 37 2 false false 22 38 38 2 false true 23 39 39 2
metadata/coreProperties.xml
 
 2023-07-08T21:50:44Z
 2023-07-08T22:04:12Z
metadata/mwcoreProperties.xml
 
 application/vnd.mathworks.matlab.code
 MATLAB Code
 R2023a
metadata/mwcorePropertiesExtension.xml
 
 ecc92015-9cec-4b4a-b69f-ec193adb782d
metadata/mwcorePropertiesReleaseInfo.xml
 
 9.14.0.2299052
 R2023a
 Update 3
 Jun 09 2023
 2263450500