Grey-box model identification via evolutionary computing

TL;DR: In this paper, a review of hybrid modeling techniques, associated system identification methodologies and model assessment criteria for chemical and biochemical processes is presented, with a focus on the use of big data and machine learning frameworks.

TL;DR: This article aims to bring a brief review of the state-of-art NN for the complex nonlinear systems, including NN based robot manipulator control, NNbased human robot interaction and Nn based behavior recognition and generation.

TL;DR: FopID controller, due to its extra tuned parameters, has shown extremely efficient results in comparison to the traditional IOPID controller.

TL;DR: In this article, the authors describe the calibration of a simulation model of double-skin facade systems with controlled rotating louvers and ventilation openings, which is based on a parameter estimation technique and in situ monitoring of a full-scale element mounted on the south facing facade of an existing building.

TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.

TL;DR: In this paper, a class of approximating matrices as a function of a scalar parameter is presented, where the problem of optimal conditioning of these matrices under an appropriate norm is investigated and a set of computational results verifies the superiority of the new methods arising from conditioning considerations to known methods.

TL;DR: In this paper, a rank-two variable-metric method was derived using Greenstadt's variational approach, which preserves the positive-definiteness of the approximating matrix.