/* autogenerated from "macros/Linear/TCLSS.sci" */ function TCLSS() { TCLSS.prototype.define = function TCLSS() { 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(["tcslti4"]), new ScilabDouble([4])); this.model.in1 = 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]); var exprs = [[strcat(sci2exp(this.A))],[strcat(sci2exp(this.B))],[strcat(sci2exp(this.C))],[strcat(sci2exp(this.D))],[strcat(sci2exp(this.x0))]]; var gr_i = []; this.x = standard_define([3,2],this.model,exprs,gr_i); return new BasicBlock(this.x); } TCLSS.prototype.details = function TCLSS() { return this.x; } TCLSS.prototype.get = function TCLSS() { 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.prototype.set = function TCLSS() { 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.x = arg1; var graphics = arg1.graphics; var exprs = graphics.exprs; this.model = arg1.model; if (size(exprs,"*")==7) { var exprs = exprs[[1:4,7]-1]; } while (true) { [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; } 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,graphics,[[in1],[ms]],out,1,[]) this.model = tmpvar1[0] var graphics = tmpvar1[1] var ok = tmpvar1[2]; if (ok) { graphics.exprs = 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(["tcslti4"]), new ScilabDouble([4])); } else { this.model.sim = list(new ScilabString(["tcsltj4"]), new ScilabDouble([4])); } this.x.graphics = graphics; this.x.model = this.model; break; } } } return new BasicBlock(this.x); } }