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 | 28 | 2009 |
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 | 23 | 2013 |
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 | 22 | 2016 |
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 | 16 | 2013 |
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 | 13 | 2014 |
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 | 11 | 2013 |
Modified State Observer for Orbit Uncertainty Estimation N Harl, K Rajagopal, SN Balakrishnan & Proceedings 저널· 프로시딩즈| 기술보고서| 해외연구초록| Reference DB| 공학 …, 2011 | 10 | 2011 |
Robust adaptive control of a general aviation aircraft K Rajagopal, S Balakrishnan, J Steck, D Kimball AIAA Atmospheric Flight Mechanics Conference, 7942, 2010 | 10 | 2010 |
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 | 6 | 2014 |
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 | 4 | 2010 |
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 | 3 | 2021 |
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 | 2 | 2015 |
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 | 2 | 2013 |
EXPERIMENTAL METHODS FOR IDENTIFICATION OF AERO GAS TURBINE ENGINE DYNAMICS FOR CONTROLLER DESIGN R Karthikeyan, KD Tigga, ANV Rao, S Kathiresan | 2 | 2008 |
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 | 1 | 2016 |
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, ... | | |