Követés
Karthikeyan Rajagopal
Cím
Hivatkozott rá
Hivatkozott rá
Év
Neuroadaptive model following controller design for non-affine and non-square aircraft systems
K Rajagopal, S Balakrishnan, N Nguyen, K Krishnakumar, A Mannava
AIAA Guidance, Navigation, and Control Conference, 5737, 2009
282009
Neural network based modified state observer for orbit uncertainty estimation
N Harl, K Rajagopal, SN Balakrishnan
Journal of Guidance, Control, and Dynamics 36 (4), 1194-1209, 2013
232013
Neural network-based solutions for stochastic optimal control using path integrals
K Rajagopal, SN Balakrishnan, JR Busemeyer
IEEE transactions on neural networks and learning systems 28 (3), 534-545, 2016
222016
Quantum inspired reinforcement learning in changing environment
P Fakhari, K Rajagopal, SN Balakrishnan, JR Busemeyer
New Mathematics and Natural Computation 9 (03), 273-294, 2013
162013
Reinforcement learning based controller synthesis for flexible aircraft wings
M Kumar, K Rajagopal, SN Balakrishnan, NT Nguyen
IEEE/CAA Journal of Automatica Sinica 1 (4), 435-448, 2014
132014
Proper orthogonal decomposition technique for near-optimal control of flexible aircraft wings
K Rajagopal, SN Balakrishnan, NT Nguyen, M Kumar
AIAA guidance, navigation, and control (GNC) conference, 4935, 2013
112013
Modified State Observer for Orbit Uncertainty Estimation
N Harl, K Rajagopal, SN Balakrishnan
& Proceedings 저널· 프로시딩즈| 기술보고서| 해외연구초록| Reference DB| 공학 …, 2011
102011
Robust adaptive control of a general aviation aircraft
K Rajagopal, S Balakrishnan, J Steck, D Kimball
AIAA Atmospheric Flight Mechanics Conference, 7942, 2010
102010
Modified State Observer Based Adaptation for a General Aviation Aircraft-Simulation and Flight Test
V Subba Reddiar Pappu, JE Steck, K Rajagopal, SN Balakrishnan
AIAA Guidance, Navigation, and Control Conference, 1297, 2014
62014
Robust Adaptive Control of a Structurally Damaged Aircraft
K Rajagopal, SN Balakrishnan, N Nguyen, K Krishnakumar
& Proceedings 저널· 프로시딩즈| 기술보고서| 해외연구초록| Reference DB| 공학 …, 2010
42010
Quantum amplitude amplification for reinforcement learning
K Rajagopal, Q Zhang, SN Balakrishnan, P Fakhari, JR Busemeyer
Handbook of Reinforcement Learning and Control, 819-833, 2021
32021
Hardware-in-Loop and Flight Testing of Modified State Observer Based Adaptation for a General Aviation Aircraft
V Subba Reddiar Pappu, JE Steck, BS Steele, K Rajagopal, ...
AIAA Guidance, Navigation, and Control Conference, 1997, 2015
22015
Time delay margin analysis of modified state observer based adaptive control
K Rajagopal, SN Balakrishnan, NT Nguyen, KS Krishnakumar
AIAA Guidance, Navigation, and Control (GNC) Conference, 4755, 2013
22013
EXPERIMENTAL METHODS FOR IDENTIFICATION OF AERO GAS TURBINE ENGINE DYNAMICS FOR CONTROLLER DESIGN
R Karthikeyan, KD Tigga, ANV Rao, S Kathiresan
22008
Intelligent switching between multiple model-based adaptive controllers using data-driven control theory
K Rajagopal, SN Balakrishnan
2016 American Control Conference (ACC), 2506-2511, 2016
12016
Cost Detectability and Stability of Multiple Model-based Adaptive Controllers Using Data-Driven Control Theory
KM Dogan, K Rajagopal, SN Balakrishnan
AIAA Guidance, Navigation, and Control Conference, 1894, 2017
2017
Optimal controller design for control-affine stochastic systems using neural networks and path integrals
K Rajagopal, SN Balakrishnan, JR Busemeyer
2016 American Control Conference (ACC), 3032-3037, 2016
2016
Quantum inspired algorithms for learning and control of stochastic systems
K Rajagopal
Missouri University of Science and Technology, 2015
2015
Adaptive Neural Network–-Based Autopilot Design
K Rajagopal, SN Balakrishnan
Advances in Missile Guidance, Control and Estimation 5, 129, 2012
2012
Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control................................ Y.-D. Song, FL …
T de Bruin, K Verbert, R Babuska, K Rajagopal, SN Balakrishnan, ...
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Cikkek 1–20