summaryrefslogtreecommitdiff
path: root/js/Linear/CLSS_f.js
diff options
context:
space:
mode:
Diffstat (limited to 'js/Linear/CLSS_f.js')
-rw-r--r--js/Linear/CLSS_f.js32
1 files changed, 16 insertions, 16 deletions
diff --git a/js/Linear/CLSS_f.js b/js/Linear/CLSS_f.js
index e30c06fa..d1efb421 100644
--- a/js/Linear/CLSS_f.js
+++ b/js/Linear/CLSS_f.js
@@ -1,22 +1,22 @@
/* autogenerated from "macros/Linear/CLSS_f.sci" */
function CLSS_f() {
CLSS_f.prototype.define = function CLSS_f() {
- x0 = 0;
- A = -1;
- B = 1;
- C = 1;
- D = 0;
+ this.x0 = 0;
+ this.A = -1;
+ this.B = 1;
+ this.C = 1;
+ this.D = 0;
in1 = 1;
out = 1;
model = scicos_model();
model.sim = list("csslti",1);
model.in1 = in1;
model.out = out;
- model.state = x0;
- model.rpar = [[A.slice()],[B.slice()],[C.slice()],[D.slice()]];
+ model.state = this.x0;
+ model.rpar = [[this.A.slice()],[this.B.slice()],[this.C.slice()],[this.D.slice()]];
model.blocktype = "c";
model.dep_ut = [false,true];
- exprs = [[strcat(sci2exp(A))],[strcat(sci2exp(B))],[strcat(sci2exp(C))],[strcat(sci2exp(D))],[strcat(sci2exp(x0))]];
+ exprs = [[strcat(sci2exp(this.A))],[strcat(sci2exp(this.B))],[strcat(sci2exp(this.C))],[strcat(sci2exp(this.D))],[strcat(sci2exp(this.x0))]];
gr_i = [];
this.x = standard_define([4,2],model,exprs,gr_i);
return new BasicBlock(this.x);
@@ -35,28 +35,28 @@ function CLSS_f() {
}
model = arg1.model;
while (true) {
- [ok,A,B,C,D,x0,exprs] = scicos_getvalue("Set continuous linear system parameters",[["A matrix"],["B matrix"],["C matrix"],["D matrix"],["Initial state"]],list("mat",[-1,-1],"mat",["size(%1,2)","-1"],"mat",["-1","size(%1,2)"],"mat",[-1,-1],"vec","size(%1,2)"),exprs);
+ [ok,this.A,this.B,this.C,this.D,this.x0,exprs] = scicos_getvalue("Set continuous linear system parameters",[["A matrix"],["B matrix"],["C matrix"],["D matrix"],["Initial state"]],list("mat",[-1,-1],"mat",["size(%1,2)","-1"],"mat",["-1","size(%1,2)"],"mat",[-1,-1],"vec","size(%1,2)"),exprs);
if (!ok) {
break;
}
- out = size(C,1);
+ out = size(this.C,1);
if (out==0) {
out = [];
}
- in1 = size(B,2);
+ in1 = size(this.B,2);
if (in1==0) {
in1 = [];
}
- [ms,ns] = size(A);
+ [ms,ns] = size(this.A);
if (ms!=ns) {
message("A matrix must be square");
} else {
[model,graphics,ok] = check_io(model,graphics,in1,out,[],[]);
if (ok) {
graphics.exprs = exprs;
- rpar = [[A.slice()],[B.slice()],[C.slice()],[D.slice()]];
- if (D!=[]) {
- if (norm(D,1)!=0) {
+ rpar = [[this.A.slice()],[this.B.slice()],[this.C.slice()],[this.D.slice()]];
+ if (this.D!=[]) {
+ if (norm(this.D,1)!=0) {
mmm = [true,true];
} else {
mmm = [false,true];
@@ -67,7 +67,7 @@ function CLSS_f() {
} else {
model.dep_ut = [false,true];
}
- model.state = x0.slice();
+ model.state = this.x0.slice();
model.rpar = rpar;
this.x.graphics = graphics;
this.x.model = model;