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/* autogenerated from "macros/Linear/TCLSS_f.sci" */
function TCLSS_f() {
TCLSS_f.prototype.define = function TCLSS_f() {
this.x0 = 0;
this.A = 0;
this.B = 1;
this.C = 1;
this.D = 0;
var in1 = 1;
var nx = size(this.x0,"*");
var out = 1;
this.model = scicos_model();
this.model.sim = list(new ScilabString(["tcslti"]), new ScilabDouble([1]));
this.model.in = new ScilabDouble([in1],[nx]);
this.model.out = new ScilabDouble([out]);
this.model.evtin = new ScilabDouble([1]);
this.model.state = new ScilabDouble([this.x0]);
this.model.rpar = new ScilabDouble([this.A.slice()],[this.B.slice()],[this.C.slice()],[this.D.slice()]);
this.model.blocktype = new ScilabString(["c"]);
this.model.dep_ut = new ScilabDouble([false,true]);
this.exprs = [[strcat(sci2exp(this.A))],[strcat(sci2exp(this.B))],[strcat(sci2exp(this.C))],[strcat(sci2exp(this.D))],[strcat(sci2exp(this.x0))]];
this.gr_i = new ScilabString(["xstringb(orig(1),orig(2),\"TCLSS_f\",sz(1),sz(2));"]);
this.x = standard_define([3,2],this.model,this.exprs,this.gr_i);
return new BasicBlock(this.x);
}
TCLSS_f.prototype.details = function TCLSS_f() {
return this.x;
}
TCLSS_f.prototype.get = function TCLSS_f() {
var options = {
A:["A matrix",this.A],
B:["B matrix",this.B],
C:["C matrix",this.C],
D:["D matrix",this.D],
x0:["Initial state",this.x0],
}
return options;
}
TCLSS_f.prototype.set = function TCLSS_f() {
this.A = parseFloat(arguments[0]["A"])
this.B = parseFloat(arguments[0]["B"])
this.C = parseFloat(arguments[0]["C"])
this.D = parseFloat(arguments[0]["D"])
this.x0 = parseFloat(arguments[0]["x0"])
this.exprs = parseFloat(arguments[0]["exprs"])
this.exprs = this.graphics.exprs;
if (size(this.exprs,"*")==7) {
this.exprs = this.exprs[[1:4,7]-1];
}
while (true) {
[ok,this.A,this.B,this.C,this.D,this.x0,this.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)"),this.exprs);
if (!ok) {
break;
}
var out = size(this.C,1);
if (out==0) {
var out = [];
}
var in1 = size(this.B,2);
if (in1==0) {
var in1 = [];
}
var tmpvar0 = size(this.A);
var ms = tmpvar0[0];
var ns = tmpvar0[1];
if (ms!=ns) {
message("A matrix must be square");
} else {
var tmpvar1 = check_io(this.model,this.graphics,[[in1],[ms]],out,1,[]);
this.model = tmpvar1[0];
this.graphics = tmpvar1[1];
var ok = tmpvar1[2];
if (ok) {
this.graphics.exprs = new ScilabDouble([this.exprs]);
var rpar = [[this.A.slice()],[this.B.slice()],[this.C.slice()],[this.D.slice()]];
if (this.D!=[]) {
if (norm(this.D,1)!=0) {
var mmm = [true,true];
} else {
var mmm = [false,true];
}
if (or(this.model.dep_ut!=mmm)) {
this.model.dep_ut = new ScilabDouble(mmm);
}
} else {
this.model.dep_ut = new ScilabDouble([false,true]);
}
this.model.state = new ScilabDouble(this.x0.slice());
this.model.rpar = new ScilabDouble(rpar);
if (this.D!=[]) {
this.model.sim = list(new ScilabString(["tcslti"]), new ScilabDouble([1]));
} else {
this.model.sim = list(new ScilabString(["tcsltj"]), new ScilabDouble([1]));
}
this.x.graphics = this.graphics;
this.x.model = this.model;
break;
}
}
}
return new BasicBlock(this.x);
}
}
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