Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Kharola Ashwani"'
Autor:
Kharola, Ashwani, Pokhriyal, Varun
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 2978 Issue 1, p1-6, 6p
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 2978 Issue 1, p1-5, 5p
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 2978 Issue 1, p1-10, 10p
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 2978 Issue 1, p1-11, 11p
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 2978 Issue 1, p1-6, 6p
Autor:
Sharma, Rakesh Chandmal, Palli, Srihari, Dharmana, Lokanadham, Sharma, Sunil Kumar, Sharma, Ashwini, Kharola, Ashwani, Sharma, Neeraj
Publikováno v:
Noise & Vibration Worldwide; Jan2024, Vol. 55 Issue 1/2, p33-47, 15p
Publikováno v:
In Perspectives in Science September 2016 8:187-190
Autor:
Rao, L.V.V. Gopala, Satyanarayana, V.S.V., Sharma, Rakesh Chandmal, Palli, Srihari, Raturi, Anuj, Kharola, Ashwani, Sharma, Ashwini
Publikováno v:
International Journal of Vehicle Noise and Vibration; 2024, Vol. 20 Issue: 1 p70-88, 19p
Autor:
Kharola, Ashwani1 ashwanidaa@gmail.com, Rawat, Pooja2 rawatpooja900@gmail.com
Publikováno v:
PM World Journal. Jan2021, Vol. 10 Issue 1, p1-6. 6p.
Autor:
Nikam Yadnyesh, Kharola Ashwani
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811580246
In this paper, two different soft-computing techniques namely proportional–integral–derivative (PID) and adaptive neuro-fuzzy inference system (ANFIS) have been applied for control of highly nonlinear three-stage inverted pendulum system. The sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7319beb14ac0f327bcc965f3b79fe8f
https://doi.org/10.1007/978-981-15-8025-3_49
https://doi.org/10.1007/978-981-15-8025-3_49