S = stepinfo( y , t , yfinal , yinit ) exercises step-effect attributes according to new response initially value yinit . That it syntax is great if the y research possess a primary offset; that’s, y is nonzero before the action happens.
Having SISO responses, t and you will y was vectors with similar duration NS . Having possibilities which have NU enters and you may Nyc outputs, you could identify y as the an NS -by- Ny -by- NU array and you can yinit given that an enthusiastic Ny -by- NU selection. stepinfo following productivity a nyc -by- NU framework assortment S out of response services add up to for each We/O couple.
S = stepinfo( ___ ,’SettlingTimeThreshold’, ST ) enables you to specify new tolerance ST used in the phrase paying down and transient minutes. The brand new default worth is actually ST = 0.02 (2%). You are able to that it syntax with the previous input-dispute combos.
S = stepinfo( ___ ,’RiseTimeLimits’, RT ) allows you to establish the lower and you can top thresholds utilized in the new concept of rise time. Automatically, an upswing go out is the time the latest response requires to rise from 10% so you’re able to 90% of the means on the very first worthy of into constant-county worthy of ( RT = [0.1 0.9] ). The top threshold RT(2) is even regularly calculate SettlingMin and SettlingMax . Such viewpoints may be the minimum and restriction thinking of your own reaction taking place following the response are at the upper endurance. You are able to this sentence structure which have some of the earlier input-conflict combinations.
Step-Reaction Characteristics regarding Active Program
Calculate step-effect services, such as increase day, repaying big date, and you can overshoot, having an active system model. For it example, fool around with a continuing-big date import function:
s y s = s dos + 5 s + 5 s 4 + step one . 6 5 s 3 + 5 s dos + six . 5 s + 2
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