Automated tuning of nonlinear model predictive controller by reinforcement learning M Mehndiratta, E Camci, E Kayacan 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 50 | 2018 |
Learning-based fast nonlinear model predictive control for custom-made 3D printed ground and aerial robots M Mehndiratta, E Kayacan, S Patel, E Kayacan, G Chowdhary Handbook of Model Predictive Control, 581-605, 2019 | 37 | 2019 |
Robust tracking control of aerial robots via a simple learning strategy-based feedback linearization M Mehndiratta, E Kayacan, M Reyhanoglu, E Kayacan Ieee Access 8, 1653-1669, 2019 | 32 | 2019 |
Receding horizon control of a 3 DOF helicopter using online estimation of aerodynamic parameters M Mehndiratta, E Kayacan Proceedings of the institution of mechanical engineers, part G: Journal of …, 2018 | 28 | 2018 |
Design and experimental validation of single input type-2 fuzzy PID controllers as applied to 3 DOF helicopter testbed M Mehndiratta, E Kayacan, T Kumbasar 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1584-1591, 2016 | 28 | 2016 |
Gaussian process-based learning control of aerial robots for precise visualization of geological outcrops M Mehndiratta, E Kayacan 2020 European control conference (ECC), 10-16, 2020 | 26 | 2020 |
A constrained instantaneous learning approach for aerial package delivery robots: onboard implementation and experimental results M Mehndiratta, E Kayacan Autonomous Robots 43 (8), 2209-2228, 2019 | 26 | 2019 |
Online learning-based receding horizon control of tilt-rotor tricopter: A cascade implementation M Mehndiratta, E Kayacan 2018 Annual American Control Conference (ACC), 6378-6383, 2018 | 18 | 2018 |
Quadplus: design, modeling, and receding-horizon-based control of a hyperdynamic quadrotor K Singh, M Mehndiratta, M Feroskhan IEEE Transactions on Aerospace and Electronic Systems 58 (3), 1766-1779, 2021 | 16 | 2021 |
Reconfigurable fault-tolerant nmpc for y6 coaxial tricopter with complete loss of one rotor M Mehndiratta, E Kayacan 2018 IEEE conference on control technology and applications (CCTA), 774-780, 2018 | 15 | 2018 |
Can deep models help a robot to tune its controller? A step closer to self-tuning model predictive controllers M Mehndiratta, E Camci, E Kayacan Electronics 10 (18), 2187, 2021 | 8 | 2021 |
A simple learning strategy for feedback linearization control of aerial package delivery robot M Mehndiratta, E Kayacan, E Kayacan 2018 IEEE conference on control technology and applications (CCTA), 361-367, 2018 | 8 | 2018 |
Fly without borders with additive manufacturing: A microscale tilt-rotor tricopter design WYJ Lee, M Mehndiratta, E Kayacan | 4 | 2018 |
Numerical Investigation of gaussian filters with a combined type Bayesian filter for nonlinear state estimation M Mehndiratta, A Prach, E Kayacan IFAC-PapersOnLine 49 (18), 446-453, 2016 | 4 | 2016 |
Receding horizon-based fault-tolerant control of quadplus: an over-actuated quadrotor M Mehndiratta, K Singh, E Kayacan, M Feroskhan 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 3 | 2021 |
Fixed-wing vertical-takeoff-and-landing UAV with additive manufacturing: a dual-rotor version R Gokhale, Y Wan, M Mehndiratta, E Kayacan | 3 | 2018 |
Adaptive Fuzzy Tuning Framework for Autonomous Vehicles: An Experimental Case Study S Samokhin, M Mehndiratta, UZA Hamid, J Saarinen 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021 | 1 | 2021 |
Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection A Amer, M Mehndiratta, J le Fevre Sejersen, HX Pham, E Kayacan 2023 21st International Conference on Advanced Robotics (ICAR), 431-438, 2023 | | 2023 |
Adopting Aviation Safety Knowledge into the Discussions of Safe Implementation of Connected and Autonomous Road Vehicles UZA Hamid, M Mehndiratta, E Adali SAE Technical Paper, 2021 | | 2021 |
Optimization-based learning control of aerial robots operating in uncertain environments M Mehndiratta Nanyang Technological University, 2020 | | 2020 |