Scilab Reference Manual |
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stabil — stabilization
F=stabil(A,B,alfa) K=stabil(Sys,alfa,beta)
A | : square real matrix (nx x nx) |
B | : real matrix (nx x nu) |
alfa, beta | : real or complex vector (in conjugate pairs) or real number. |
F | : real matrix (nx x nu) |
Sys | : linear system (syslin list) (m inputs, p outputs). |
K | : linear system (p inputs, m outputs) |
F=stabil(A,B,alfa) returns a gain matrix F such that A+B*F is stable if pair (A,B) is stabilizable. Assignable poles are set to alfa(1),alfa(2),.... If (A,B) is not stabilizable a warning is given and assignable poles are set to alfa(1),alfa(2),.... If alfa is a number all eigenvalues are set to this alfa (default value is alfa=-1).
K=stabil(Sys,alfa,beta) returns K, a compensator for Sys such that (A,B)-controllable eigenvalues are set to alfa and (C,A)-observable eigenvalues are set to beta.
All assignable closed loop poles (which are given by the eigenvalues of Aclosed=h_cl(Sys,K) are set to alfa(i)'s and beta(j)'s.
// Gain: Sys=ssrand(0,2,5,list('st',2,3,3)); A=Sys('A');B=Sys('B');F=stabil(A,B); spec(A) //2 controllable modes 2 unstable uncontrollable modes //and one stable uncontrollable mode spec(A+B*F) //the two controllable modes are set to -1. // Compensator: Sys=ssrand(3,2,5,list('st',2,3,3)); //3 outputs, 2 inputs, 5 states //2 controllables modes, 3 controllable or stabilizable modes. K=stabil(Sys,-2,-3); //Compensator for Sys. spec(Sys('A')) spec(h_cl(Sys,K)) //K Stabilizes what can be stabilized.
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