Space craft photographed floating in low earth orbit

Open Access research: Conquering challenges in, and from, space...

Strathclyde researchers are highly active in the areas of space systems, astronautics, space science, and space mechatronics. Researchers from Physics within the Centre for Space Science and Applications, the Aerospace Centre of Excellence in MAE, the Space Mechatronic Systems Technology (SMeSTech) Laboratory within DMEM, and researchers in EEE, all explore the engineering and scientific challenges within space, with topics such as spaceflight mechanics, robotics for in-orbit satellite services and refuelling, and satellite-based ocean colour remote sensing, among many others.

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Number of items: 10.

2021

Marchetti, Francesco and Minisci, Edmondo and Riccardi, Annalisa (2021) Single-stage to orbit ascent trajectory optimisation with reliable evolutionary initial guess. Optimization and Engineering. ISSN 1389-4420

Marchetti, Francesco and Minisci, Edmondo (2021) Genetic programming guidance control system for a reentry vehicle under uncertainties. Mathematics, 9 (16). 1868.

Marchetti, Francesco and Wilson, Callum and Powell, Cheyenne and Minisci, Edmondo and Riccardi, Annalisa; Romero, Juan and Martins, Tiago and Rodríguez-Fernández, Nereida, eds. (2021) Convolutional Generative Adversarial Network, via Transfer Learning, for traditional Scottish music generation. In: Artificial Intelligence in Music, Sound, Art and Design. Lecture Notes in Computer Science, 12693 . Springer, ESP. ISBN 978-3-030-72914-1

Marchetti, Francesco and Minisci, Edmondo; Hu, Ting and Lourenço, Nuno and Medvet, Eric, eds. (2021) Inclusive genetic programming. In: Genetic Programming. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12691 (1). Springer International Publishing AG, ESP, pp. 51-65. ISBN 9783030728120

2020

Marchetti, Francesco and Minisci, Edmondo; Filipič, Bogdan and Minisci, Edmondo and Vasile, Massimiliano, eds. (2020) A hybrid Neural Network-Genetic Programming Intelligent Control approach. In: Bioinspired Optimization Methods and Their Applications. Springer, BEL, pp. 240-254. ISBN 9783030637101

Marchetti, Francesco and Minisci, Edmondo and Riccardi, Annalisa; (2020) Towards intelligent control via genetic programming. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, GBR. ISBN 9781728169279

Wilson, Callum and Marchetti, Francesco and Di Carlo, Marilena and Riccardi, Annalisa and Minisci, Edmondo (2020) Classifying intelligence in machines : a taxonomy of intelligent control. Robotics, 9 (3). 64. ISSN 2218-6581

Wilson, Callum and Marchetti, Francesco and Di Carlo, Marilena and Riccardi, Annalisa and Minisci, Edmondo (2020) Intelligent control : a taxonomy. In: 8th International Conference on Systems and Control, 2019-10-23 - 2019-10-25, Faculty of sciences Semlalia, Cadi Ayyad University.

2019

Marchetti, Francesco and Minisci, Edmondo and Riccardi, Annalisa (2019) Towards intelligent control via genetic programming. In: 5th European Optimisation in Space Engineering Workshop, 2019-11-21 - 2019-11-22.

Marchetti, Francesco and Minisci, Edmondo and Riccardi, Annalisa (2019) Trajectory optimization of a reusable launch vehicle. In: 17th Workshop on Advances in Continuous Optimization, 2019-06-28 - 2019-06-29, University of Strathclyde.

This list was generated on Mon Dec 6 10:52:14 2021 GMT.