作者：
G. MengaC. GrecoCENS
Istituto di Elettrotecnica Generale Politecnico di Torino Torino Italy
This paper presents a package for modeling and identification of linear multivariable systems from only the knowledge of input - output data. The method, that is original, belongs to the least squares family and appli...
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This paper presents a package for modeling and identification of linear multivariable systems from only the knowledge of input - output data. The method, that is original, belongs to the least squares family and applies new efficient factorization algorithms drawn from the numerical linear algebra literature. Performances of the package and comparisons with other methods on a simulated real size power plant are illustrated.
Given a set of expressions which are to be compiled, methods are presented for increasing the efficiency of the object code produced by first factoring the expressions, i.e. finding a set of subexpressions each of whi...
详细信息
Given a set of expressions which are to be compiled, methods are presented for increasing the efficiency of the object code produced by first factoring the expressions, i.e. finding a set of subexpressions each of which occurs in two or more other expressions or subexpressions. Once all the factors have been ascertained, a sequencing procedure is applied which orders the factors and expressions such that all information is computed in the correct sequence and factors need be retained in memory a minimal amount of time. An assignment algorithm is then executed in order to minimize the total number of temporary storage cells required to hold the results of evaluating the factors. In order to make these techniques computationally feasible, heuristic procedures are applied, and hence global optimal results are not necessarily generated. The factorization algorithms are also applicable to the problem of factoring Boolean switching expressions and of factoring polynomials encountered in symbol manipulating systems.
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