Reliable nonlinear parameter estimation using interval analysis: error-in-variable approach

By Chao-Yang Gau, Mark A. Stadtherr. 2000

50 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/f1498573b74d5b65dec96e7bb71da76a2501b2bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Chrysanthos E. Gounaris
2. Christodoulos A. Floudas
3. Mark A. Stadtherr
4. Chao-Yang Gau
5. Youdong Lin
6. John L. Klepeis

In Control and Systems Engineering

1. Christodoulos A. Floudas
2. Chrysanthos E. Gounaris
3. Chao-Yang Gau
4. Mark A. Stadtherr
5. Ruth Misener

Citations in the corpus

• New interval methodologies for reliable chemical process modeling (2002, background): “…state variables, namely the CSTR inlet and outlet temperatures, the outlet concentrations of A and B, and the inlet concentration of A. Complete details of the problem are given by Gau and Stadtherr (2000b), who formulate it as an unconstrained global optimization problem with 22 variables.”
• Deterministic global optimization for error-in-variables parameter estimation (2002, methodology): “The search domain can be made large enough to enclose all physically feasible and statistically significant behavior.”
• A review of recent advances in global optimization (2009, methodology): “Gau and Stadtherr (2000) introduced an interval analysis based approach for the error-in-variables method and studied vapor liquid equilibrium and reaction kinetics models.”