Mohammad Bagher Naghibi Sistani
Mohammad Bagher Naghibi Sistani
Associate Professor of Electrical Engineering, Ferdowsi University of Mashhad
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Cited by
Cited by
Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics
B Kiumarsi, FL Lewis, H Modares, A Karimpour, MB Naghibi-Sistani
Automatica 50 (4), 1167-1175, 2014
Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
H Modares, FL Lewis, MB Naghibi-Sistani
Automatica 50 (1), 193-202, 2014
Adaptive optimal control of unknown constrained-input systems using policy iteration and neural networks
H Modares, FL Lewis, MB Naghibi-Sistani
IEEE Transactions on neural networks and learning systems 24 (10), 1513-1525, 2013
Optimal tracking control of unknown discrete-time linear systems using input-output measured data
B Kiumarsi, FL Lewis, MB Naghibi-Sistani, A Karimpour
IEEE transactions on cybernetics 45 (12), 2770-2779, 2015
Parameter estimation of bilinear systems based on an adaptive particle swarm optimization
H Modares, A Alfi, MBN Sistani
Engineering Applications of Artificial Intelligence 23 (7), 1105-1111, 2010
Higher Order Spectra Analysis of EEG Signals in Emotional Stress States
SA Hosseini, MA Khalilzadeh, MB Naghibi-Sistani, V Niazmand
Information Technology and Computer Science (ITCS), 2010 Second …, 2010
A novel fuzzy model and control of single intersection at urban traffic network
E Azimirad, N Pariz, MBN Sistani
Systems Journal, IEEE 4 (1), 107-111, 2010
Fuzzy expert system design for diagnosis of liver disorders
M Neshat, M Yaghobi, MB Naghibi, A Esmaelzadeh
2008 International Symposium on Knowledge Acquisition and Modeling, 252-256, 2008
Online solution of nonquadratic two‐player zero‐sum games arising in the H ∞  control of constrained input systems
H Modares, FL Lewis, MBN Sistani
International Journal of Adaptive Control and Signal Processing 28 (3-5 …, 2014
Emotion recognition method using entropy analysis of EEG signals
SA Hosseini, MB Naghibi-Sistani
International Journal of Image, Graphics and Signal Processing 3 (5), 30, 2011
Bipartite consensus control for fractional-order nonlinear multi-agent systems: An output constraint approach
M Shahvali, A Azarbahram, MB Naghibi-Sistani, J Askari
Neurocomputing 397, 212-223, 2020
Solving nonlinear optimal control problems using a hybrid IPSO–SQP algorithm
H Modares, MBN Sistani
Engineering Applications of Artificial Intelligence 24 (3), 476-484, 2011
Application of Q-learning with temperature variation for bidding strategies in market based power systems
MB Naghibi-Sistani, MR Akbarzadeh-Tootoonchi, MHJD Bayaz, ...
Energy Conversion and Management 47 (11-12), 1529-1538, 2006
A policy iteration approach to online optimal control of continuous-time constrained-input systems
H Modares, MBN Sistani, FL Lewis
ISA transactions 52 (5), 611-621, 2013
Multi-objective dynamic distribution feeder reconfiguration along with capacitor allocation using a new hybrid evolutionary algorithm
H Lotfi, R Ghazi, M Naghibi-Sistani
Energy Systems 11 (3), 779-809, 2020
Adaptive output-feedback bipartite consensus for nonstrict-feedback nonlinear multi-agent systems: A finite-time approach
M Shahvali, MB Naghibi-Sistani, J Askari
Neurocomputing 318, 7-17, 2018
A novel distributed optimal adaptive control algorithm for nonlinear multi-agent differential graphical games
M Mazouchi, MB Naghibi-Sistani, SKH Sani
IEEE/CAA Journal of Automatica Sinica 5 (1), 331-341, 2017
An adaptive ordered fuzzy time series with application to FOREX
M Bahrepour, MR Akbarzadeh-T, M Yaghoobi, MB Naghibi-S
Expert Systems with Applications 38 (1), 475-485, 2011
Agent-based simulation for blood glucose control in diabetic patients
S Yasini, MB Naghibi-Sistani, A Karimpour
International Journal of Applied Science, Engineering and Technology 5 (1 …, 2009
MPPT control of wind turbines by direct adaptive fuzzy-PI controller and using ANN-PSO wind speed estimator
S Sabzevari, A Karimpour, M Monfared, MB Naghibi Sistani
Journal of Renewable and Sustainable Energy 9 (1), 2017
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