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Rohollah (Roham) Moghadam
Rohollah (Roham) Moghadam
Assistant Professor of Electrical Engineering, California State University, Sacramento
Verified email at csus.edu - Homepage
Title
Cited by
Cited by
Year
Resilient Autonomous Control of Distributed Multi-agent Systems in Contested Environments
R Moghadam, H Modares
IEEE Transactions on Cybernetics 49 (11), 3957 - 3967, 2019
492019
Resilient synchronization of distributed multi-agent systems under attacks
A Mustafa, H Modares, R Moghadam
Automatica 115, 108869, 2020
452020
Output‐feedback H∞ quadratic tracking control of linear systems using reinforcement learning
R Moghadam, FL Lewis
International Journal of Adaptive Control and Signal Processing, 2017
362017
Online deep neural network-based feedback control of a Lutein bioprocess
P Natarajan, R Moghadam, S Jagannathan
Journal of Process Control 98, 41-51, 2021
232021
An internal model principle for the attacker in distributed control systems
R Moghadam, H Modares
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 6604-6609, 2017
202017
Resilient adaptive optimal control of distributed multi‐agent systems using reinforcement learning
R Moghadam, H Modares
IET control theory & applications 12 (16), 2165-2174, 2018
162018
Static output‐feedback synchronisation of multi‐agent systems: a secure and unified approach
H Modares, R Moghadam, FL Lewis, A Davoudi
IET control theory & applications 12 (8), 1095-1106, 2018
162018
Optimal adaptive control of uncertain nonlinear continuous-time systems with input and state delays
R Moghadam, S Jagannathan
IEEE Transactions on Neural Networks and Learning Systems 34 (6), 3195-3204, 2021
142021
Online optimal adaptive control of partially uncertain nonlinear discrete-time systems using multilayer neural networks
R Moghadam, P Natarajan, S Jagannathan
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4840-4850, 2021
132021
Generalized predictive control of batch polymerization reactor
R Khaniki, MB Menhaj, H Eliasi
World Academy of Science, Engineering and Technology 1 (12), 2007
62007
Optimal adaptive output regulation of uncertain nonlinear discrete-time systems using lifelong concurrent learning
R Moghadam, B Farzanegan, S Jagannathan, P Natarajan
2022 IEEE 61st Conference on Decision and Control (CDC), 2005-2010, 2022
52022
Multilayer neural network-based optimal adaptive tracking control of partially uncertain nonlinear discrete-time systems
R Moghadam, P Natarajan, S Jagannathan
2020 59th IEEE Conference on Decision and Control (CDC), 2204-2209, 2020
52020
Approximate optimal adaptive control of partially unknown linear continuous-time systems with state delay
R Moghadam, S Jagannathan
2019 IEEE 58th Conference on Decision and Control (CDC), 1985-1990, 2019
52019
Distributed control of leader-follower systems under adversarial inputs using reinforcement learning
R Moghadam, Q Wei, H Modares
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
52017
Event-triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-time Systems with State Delay
R Moghadam, V Narayanan, S Jagannathan
IEEE Transactions on Systems, Man, Cybernetics: Systems, 2022
32022
Online optimal adaptive control of a class of uncertain nonlinear discrete-time systems
R Moghadam, P Natarajan, K Raghavan, S Jagannathan
2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020
32020
Optimal control of linear continuous-time systems in the presence of state and input delays with application to a chemical reactor
R Moghadam, S Jagannathan
2020 American Control Conference (ACC), 999-1004, 2020
32020
Optimal Adaptive Control of Partially Uncertain Linear Continuous-Time Systems with State Delay
R Moghadam, S Jagannathan, V Narayanan, K Raghavan
Handbook of Reinforcement Learning and Control, 243-272, 2021
22021
Optimality in event-triggered adaptive control of uncertain linear dynamical systems
V Narayanan, S Jagannathan, R Moghadam
AIAA Scitech 2019 Forum, 2187, 2019
22019
Resilient output synchronization of heterogeneous multi-agent systems under cyber-physical attacks
R Moghadam, A Mustafa, H Modares, T Basar
arXiv preprint arXiv:1807.02856, 2018
22018
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Articles 1–20