Optimal control method for gene regulation network
A gene regulation network and optimization control technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of occupation, multiple memory, long data processing time, etc.
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[0112] Then, node x1 in the model can be modeled, where f11 and f12 are candidate Boolean functions corresponding to node x1 in the model, and the probability of each candidate Boolean function being selected is 0.5. The specific implementation is as follows:
[0113] 1) module BN1
[0114] 2) x1:[0..1] init 1;
[0115] 3) d1:[0..1] init 0;
[0116] 4) [csPBN]c=0&s=1&per1=0->0.5:(x1'=f11)&(d1'=0)+0.5:(x1'=f12)&(d1'=1);
[0117] 5) [csPBN]c=0&s=0&per1=0&d1=0->(x1'=f11);
[0118] 6) [csPBN]c=0&s=0&per1=0&d1=1->(x1'=f12);
[0119] 7) [csPBN]c=0&per1=1->(x1'=0);
[0120] 8) [csPBN]c=0&per1=1->(x1'=1);
[0121] 9) endmodule
[0122] The code in line 4 shows that when the transfer switch is turned on and no disturbance event occurs, the value of node x1 depends on f11 with a probability of 0.5 and is marked with d1=0, and the situation after the plus sign is similar; line 5 to The code in line 6 shows that when the transfer switch is closed and the disturbance event does not...
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