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Ahmad Bagheri
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2020 – today
- 2022
- [j24]Sanam Hajipour
, Hamed Pourhashem
Optimized neuro observer-based sliding mode control for a nonlinear system using fuzzy static sliding surface. Appl. Soft Comput. 124: 108904 (2022) - [j23]Saeed Nezamivand Chegini
Intelligent bearing fault diagnosis using swarm decomposition method and new hybrid particle swarm optimization algorithm. Soft Comput. 26(3): 1475-1497 (2022) - 2021
- [j22]Marzieh Faridi Masouleh, Ahmad Bagheri:
Forecasting Stock Exchange Data using Group Method of Data Handling Neural Network Approach. Knowl. Eng. Data Sci. 4(1): 1-13 (2021) - 2020
- [j21]Saeed Nezamivand Chegini
A new intelligent fault diagnosis method for bearing in different speeds based on the FDAF-score algorithm, binary particle swarm optimization, and support vector machine. Soft Comput. 24(13): 10005-10023 (2020) - [j20]Ali Jamali, Rammohan Mallipeddi, M. Salehpour
Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system. Swarm Evol. Comput. 54: 100666 (2020) - [j19]Elham Yazdani Bejarbaneh
Optimal design of adaptive and proportional integral derivative controllers using a novel hybrid particle swarm optimization algorithm. Trans. Inst. Meas. Control 42(8): 1492-1510 (2020)
2010 – 2019
- 2019
- [j18]Elham Yazdani Bejarbaneh
A new adjusting technique for PID type fuzzy logic controller using PSOSCALF optimization algorithm. Appl. Soft Comput. 85 (2019) - 2018
- [j17]Elham Yazdani Bejarbaneh
Optimization of Model Reference Adaptive Controller for the Inverted Pendulum System Using CCPSO and DE Algorithms. Autom. Control. Comput. Sci. 52(4): 256-267 (2018) - [j16]Saeed Nezamivand Chegini, Ahmad Bagheri
PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems. Appl. Soft Comput. 73: 697-726 (2018) - 2015
- [j15]Jalal Javadi Moghaddam
A novel stable deviation quantum-behaved particle swarm optimization to optimal piezoelectric actuator and sensor location for active vibration control. J. Syst. Control. Eng. 229(6): 485-494 (2015) - 2014
- [j14]Ahmad Bagheri
Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization. Expert Syst. Appl. 41(14): 6235-6250 (2014) - [j13]Mohammad Javad Mahmoodabadi, Milad Taherkhorsandi
Optimal robust sliding mode tracking control of a biped robot based on ingenious multi-objective PSO. Neurocomputing 124: 194-209 (2014) - [j12]Mohammad Javad Mahmoodabadi, S. Momennejad, Ahmad Bagheri
Online optimal decoupled sliding mode control based on moving least squares and particle swarm optimization. Inf. Sci. 268: 342-356 (2014) - [j11]Mohammad Javad Mahmoodabadi, Z. Salahshoor Mottaghi, Ahmad Bagheri
HEPSO: High exploration particle swarm optimization. Inf. Sci. 273: 101-111 (2014) - 2013
- [j10]Mohammad Javad Mahmoodabadi, A. Adljooy Safaie, Ahmad Bagheri
A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model. Appl. Soft Comput. 13(5): 2577-2591 (2013) - [j9]Mohammad Javad Mahmoodabadi, S. Arabani Mostaghim, Ahmad Bagheri
Pareto optimal design of the decoupled sliding mode controller for an inverted pendulum system and its stability simulation via Java programming. Math. Comput. Model. 57(5-6): 1070-1082 (2013) - 2012
- [j8]Mohammad Javad Mahmoodabadi, Ahmad Bagheri
Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm. J. Appl. Math. 2012: 639014:1-639014:22 (2012) - [j7]Behnam Miripour Fard
Limit cycle walker push recovery based on a receding horizon control scheme. J. Syst. Control. Eng. 226(7): 914-926 (2012) - 2011
- [j6]Mohammad Javad Mahmoodabadi, Ahmad Bagheri
Simulation of stability using Java application for Pareto design of controllers based on a new multi-objective particle swarm optimization. Math. Comput. Model. 54(5-6): 1584-1607 (2011) - 2010
- [j5]Ahmad Bagheri
Tracking performance control of a cable communicated underwater vehicle using adaptive neural network controllers. Appl. Soft Comput. 10(3): 908-918 (2010) - [j4]Jalal Javadi Moghaddam
An adaptive neuro-fuzzy sliding mode based genetic algorithm control system for under water remotely operated vehicle. Expert Syst. Appl. 37(1): 647-660 (2010)
2000 – 2009
- 2009
- [j3]Ahmad Bagheri
Decoupled adaptive neuro-fuzzy (DANF) sliding mode control system for a Lorenz chaotic problem. Expert Syst. Appl. 36(3): 6062-6068 (2009) - [j2]Ahmad Bagheri
Simulation and tracking control based on neural-network strategy and sliding-mode control for underwater remotely operated vehicle. Neurocomputing 72(7-9): 1934-1950 (2009) - 2006
- [j1]Ahmad Bagheri, Farid Najafi, Reza Farrokhi, Rahman Yousefi Moghaddam, Mohammad Ebrahim Felezi:
Design, Dynamic Modification, and Adaptive Control of a New Biped Walking Robot. Int. J. Humanoid Robotics 3(1): 105-126 (2006)
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