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Test for Global Identifiability for Nonlinear Model Structures
(Planta Piloto de Ingeniería Química, 2000-12)
n the present work an algorithm for testing global identifiability for a wide class of nonlinear model structures with bounded signals is presented. The objective functional applied for parameter estimation is assumed to ...
An application of CHA to concurrent short-term transmission expansion & reactive power planning
(2011-10-05)
In this paper a heuristic technique for solving simultaneous short-term transmission network expansion and reactive power planning problem (TEPRPP) via an AC model is presented. A constructive heuristic algorithm (CHA) ...
Implementation of an AC model for transmission expansion planning considering reliability constraints
(2013-07-18)
In this paper, a hybrid heuristic methodology that employs fuzzy logic for solving the AC transmission network expansion planning (AC-TEP) problem is presented. An enhanced constructive heuristic algorithm aimed at obtaining ...
An application of CHA to concurrent short-term transmission expansion & reactive power planning
(2011-10-05)
In this paper a heuristic technique for solving simultaneous short-term transmission network expansion and reactive power planning problem (TEPRPP) via an AC model is presented. A constructive heuristic algorithm (CHA) ...
Implementation of an AC model for transmission expansion planning considering reliability constraints
(2013-07-18)
In this paper, a hybrid heuristic methodology that employs fuzzy logic for solving the AC transmission network expansion planning (AC-TEP) problem is presented. An enhanced constructive heuristic algorithm aimed at obtaining ...
A Branch and Bound algorithm to solve nonconvex MINLP problems via novel division strategy: An electric power system case study
(2017-07-12)
This paper presents two Branch and Bound algorithms (B&B) for solving mixed-integer nonlinear programming (MINLP) problems with nonconvex search space. The main advantage of the proposed algorithms, comparing with the ...
A Branch and Bound Algorithm to Solve Nonconvex MINLP Problems via Novel Division Strategy: An Electric Power System Case Study
(Ieee, 2017-01-01)
This paper presents two Branch and Bound algorithms (B&B) for solving mixed-integer nonlinear programming (MINLP) problems with nonconvex search space. The main advantage of the proposed algorithms, comparing with the ...
On the Global Convergence of Nonlinear Nonconvex Estimators
(Planta Piloto de Ingeniería Química, 2000-12)
he main contribution in this paper is focused mainly in obtaining insight in the requirements of excitation from the geometric properties of a general nonalgebraic nonconvex cost functional for parameter identification ...