Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Geethalakshmi S. Lakshmikanth"'
Publikováno v:
Entrepreneurship Education and Pedagogy. 5:686-702
COVID-19 has had a dramatic impact on academics. Academic programs that require experiential learning, such as entrepreneurship, were presented with severe problems. At the time, the pandemic hit, Liguori and Winkler (2020) speculated on how entrepre
Toward Understanding the Technology Trust Calculus in Healthcare: A Generation Z and Millennial View
Autor:
William D. Senn, Juan A. Chavarria, Douglass Smith, Md. Rakibul Hoque, Javier Flores, Mohammed Sajedur Rahman, Geethalakshmi S. Lakshmikanth
Publikováno v:
HICSS
Publikováno v:
Optimal Control Applications and Methods. 35:479-500
To combine the advantages of both stability and optimality-based designs, a single network adaptive critic (SNAC) aided nonlinear dynamic inversion approach is presented in this paper. Here, the gains of a dynamic inversion controller are selected in
Publikováno v:
IndraStra Global.
A neural-network-aided nonlinear dynamic inversion-based hybrid technique of model reference adaptive control flight-control system design is presented in this paper. Here, the gains of the nonlinear dynamic inversion-based flight-control system are
Publikováno v:
AIAA Infotech@Aerospace (I@A) Conference.
This paper presents a Single Network Adaptive Critic (SNAC) aided Nonlinear Dynamic Inversion (NDI) optimization controller with a Proportional-Derivative (PD) based Optimal Control Modification (OCM) design for fast pitch rate adaptation in an MRAC
Publikováno v:
AIAA Guidance, Navigation, and Control (GNC) Conference.
In this paper, we discuss the application of a Single Network Adaptive Critic (SNAC) tracking controller on a morphing fighter aircraft modeled as a time-varying system. The performance of the aircraft is investigated from a flight dynamics perspecti
Publikováno v:
Infotech@Aerospace
Publikováno v:
ISIC
Using the Approximate Dynamic Programming (ADP) approach, nonlinear optimal control problems can be solved by using a dual neural network architecture called the Adaptive Critic (AC). A Single Network Adaptive Critic (SNAC) architecture has been show