[1]Yan, T., Cempini, M., Oddo, C. M., Vitelo, N. 2015. "Review of assistive strategies in powered lower-limb orthoses and exoskeletons". Robotics and Autonomous Systems, 64,pp. 120-136.
[2]Sadeghian, H., Shokrani, S., Ghorbani, L., 2017. “Imitating Sound Ankle Behavior with a Powered Below-Knee Prosthesis and Validation of its Mechanical Performance”. Amirkabir Journal of Mechanical Engineering, (DOI): 10.22060/mej.2017.12099.5258(in persian).
[3]DÍAZ, I., GIL, J. J. & SÁNCHEZ, E., 2011. "Lower-limb robotic rehabilitation: literature review and challenges". Journal of Robotics, 2011.
[4]Lalami, M. E., Rifaï, H., Mohammed, S., Hassani, W., Amirat, Y., 2013. "Output feedback control of an actuated lower limb orthosis with bounded input," Industrial Robot: An International Journal, 40, pp. 541-549.
[5]Sui, P., Yao, L., Z. Lin, Yan H., 2009. "Analysis and synthesis of ankle motion and rehabilitation robots," in Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on. pp. 2533-2538.
[6]Hassani, W., Mohammed, S., Rifaï, H., 2014. "Powered orthosis for lower limb movements assistance and rehabilitation," Control Engineering Practice , 26, pp. 245-253.
[7]Daachi, M., Madani, T., Daachi, B., and Djouani, K., 2015. "A radial basis function neural network adaptive controller to drive a powered lower limb knee joint orthosis," Applied Soft Computing ,34, pp. 324-336,.
[8]Mohammed, S., Huo, W., Huang, J., Rifaï, H., and Amirat, Y., 2016."Nonlinear disturbance observer based sliding mode control of a human-driven knee joint orthosis". Robotics and Autonomous Systems, 75, pp. 41-49,.
[9]Barghandan, S., Badamchizadeh, M. A., Jahed-Motlagh, M. R., 2017." Single-rod electro-hydraulic servo system control with sliding mode controller improved by parallel fuzzy compensators". Modares Mechanical Engineering, 17( 2), pp. 377-384, (in Persian).
[10]Shahmohamadi, A., Abolmasomi, A. H., Soleimani, M., 2016. “Design and Implementation of Fast Terminal Sliding Mode Control for Vehicle Lane Keeping by Using Virtual Prototyping Simulations”. Amirkabir Journal of Mechanical Engineering, (DOI): 10.22060/mej.2016.667 (in persian)
[11]Delavari H., 2012." A novel fractional adaptive active sliding mode controller for synchronization of non-identical chaotic systems with disturbance and uncertainty ". International Journal of Dynamics and Control, 5, pp. 102–114.
[12] Nasimullah, M., Khan, K., Wang, S.,2015. "Fractional order adaptive fuzzy sliding mode controller for a position servo system subjected to aerodynamics loading and nonlinearities," Aerosp Sci Technol, 43, pp. 381-387
[13]Mefoued, S., 2015. "A second order sliding mode control and a neural network to drive a knee joint actuated orthosis," Neurocomputing, 155, pp. 71-79.
[14]Shafiei, S. E., Soltanpour, M. R.,2011. "Neural network sliding-mode-PID controller design for electrically driven robot manipulators," International Journal of Innovative Computing, Information and Control, 7, pp. 511-524.
[15]Guo, Y., Woo, P.-Y., 2003. " An adaptive fuzzy sliding mode controller for robotic manipulators", IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 33, pp. 149-159.
[16]Shakki, S., Zakerzadeh, M. R.,2016." Modeling and control of a shape memory alloy actuator using fuzzy sliding mode controller". Modares Mechanical Engineering, 16( 7), pp. 353-360 (in Persian).
[17]Yousefi, F., Alipour, Kh., Tarvirdizadeh, B., Hadi, A.,2016." Control of knee rehabilitation robot based on combination of backstepping and admittance algorithms". Modares Mechanical Engineering, 16(12), pp. 135-143 (in Persian).
[18]Rifai, H., Mohammed, S., Daachi, B., Amirat, Y.,2012. "Adaptive control of a human-driven knee joint orthosis," in Robotics and Automation (ICRA), 2012 IEEE International Conference on , pp. 2486-2491.
[19] Daachia, Madanib, M.E., Daachib, B., 2015. "A radial basis function neural network adaptive controller to drivea powered lower limb knee joint orthosis". Applied Soft Computing, 34, pp. 324–336.
[20] Rifai, H., Mohammed, S., Daachi, B., Amirat, Y., 2016." Toward Lower Limbs Functional Rehabilitation Through a Knee-Joint Exoskeleton". IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, pp. 1063-6536.
[21]Benbrahim M., Essounbouli N., Hamzaoui A., Betta A.,2013. "Adaptive type-2 fuzzy sliding mode controller for SISO nonlinear systems subject to actuator faults". International Journal of Automation and Computing, 10, pp. 335-342.
[22]Chang, M.-K., 2010."An adaptive self-organizing fuzzy sliding mode controller for a 2-DOF rehabilitation robot actuated by pneumatic muscle actuators". Control Engineering Practice, 18, pp. 13-22.
[23]Trelea, I. C.,2003. "The particle swarm optimization algorithm: convergence analysis and parameter selection," Information processing letters , 85, pp. 317-325.
[24]Nejat, A., Kaviani, H. R., 2016. "Aerodynamic optimization of a megawatt class horizontal axis wind turbine blade with particle swarm optimization algorithm". Modares Mechanical Engineering, 99, pp. 9-99 (in Persian).
[25]Mohammed, S., Huo, W., Rifaï, H., Hassani, W., Amirat, Y., 2015. "Robust Control of an Actuated Orthosis for Lower Limb Movement Restoration," in Intelligent Assistive Robots, ed: Springer , pp. 385-400.
[26]Mefoued, S., 2014. "A robust adaptive neural control scheme to drive an actuated orthosis for assistance of knee movements" .Neurocomputing, 140, pp. 27-40.
[27] Chen, W-H., Ballance, D., Gawthrop, P., Gribble, J., 1999." A Nonlinear Disturbance Observer for Two Link Robotic Manipulators". Proceedings of the 38th Conference on Decision & Control, pp. 3410-3415.
[28] Chen, W-H., 2004." Disturbance Observer Based Control for Nonlinear Systems". IEEE/ASME TRANSACTIONS ON MECHATRONICS, 9(4), pp.706-710.
[29]Xing, K., Huang, J., Wang, Y., Wu, J., Xu, Q., He, J., 2010."Tracking control of pneumatic artificial muscle actuators based on sliding mode and non-linear disturbance observer".IET control theory & applications, 4, pp. 2058-2070.
[30]Huo, W., Mohammed, S., Amirat, Y., 2015. " Observer-Based Active Impedance Control of a Knee-Joint Assistive Orthosis". IEEE International Conference on Rehabilitation Robotics (ICORR), pp. 313-318.
[31]Li, C., Deng, W, 2007. "Remarks on fractional derivatives," Applied Mathematics and Computation, 187, pp. 777-784.
[32]Park, K. B., Tsuji, T., 1999. "Terminal sliding mode control of second‐order nonlinear uncertain systems". International Journal of Robust and Nonlinear Control, 9, pp. 769-780.
[33]Aguila-Camacho, N., Duarte-Mermoud, M. A., Gallegos, J. A.,2014 "Lyapunov functions for fractional order systems". Communications in Nonlinear Science and Numerical Simulation, 19, pp. 2951-2957.
[34] Mohadeszadeh M., Delavari H., A. 2017." Synchronization of uncertain fractional-order hyper-chaotic systems via a novel adaptive interval type-2 fuzzy active sliding mode controller". International Journal of Dynamics and Control, 5, pp. 135–144.
[35]Mottahedi, A., Akbarzadeh Kalat, A., 2016. "Adaptive robust sliding mode control of quadrotor in the presence of wind/ disturbance". Modares Mechanical Engineering, 16(12), pp. 95-102 (in Persian)
[36]Pourmahmood Aghababa M., 2014. "Control of Fractional-Order Systems Using Chatter-Free Sliding Mode Approach". Journal of Computational and Nonlinear Dynamics 9(3)pp.1-22 doi: 10.1115/1.4025771.
[37]Chiang, C.-C., Hu, C.-C., 1999. "Adaptive fuzzy controller for nonlinear uncertain systems." in Intelligent Processing and Manufacturing of Materials, 1999. IPMM'99. Proceedings of the Second International Conference on, pp. 1131-1136.
[38]Temeltas, H., 1998. "A fuzzy adaptation technique for sliding mode controllers," in Industrial Electronics. Proceedings. ISIE'98. IEEE International Symposium on,pp. 110-115.
[39]Yang Y., Yang C., Lee K.-M., Yu H., 2009. "Model-based fuzzy adaptation for control of a lower extremity rehabilitation exoskeleton". in Advanced Intelligent Mechatronics. AIM 2009. IEEE/ASME International Conference on, pp. 350-355 [40] Wang, L., 1997."A course in Fuzzy Systems and Control. New Jersey: Pretice-Hall Internacional". ed: Inc.
[41] Mahmoodabadi, M.J., Taherkhorsandi, M., Bagheri A.,2014. " Optimal Robust Sliding Mode Tracking Control of a Biped Robot Based on Ingenious Multi-objective PSO". Neurocomputing, 124, pp. 194-209.
[42]Allouani1, A., Boukhetala, D., Boudjema, F., 2012." Particle swarm optimization based fuzzy sliding mode controller for the Twin Rotor MIMO system". Nonlinear Dynamic, 74, pp. 467–478.
[43]Atyabi, A., Phon-Amnuaisuk, S., Ho, C. K., 2010. "Applying area extension PSO in robotic swarm," Journal of Intelligent & Robotic Systems, 58, pp. 253-285.
[44]Shi, Y., Eberhart, R., 1998."A modified particle swarm optimizer". in Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, pp. 69-73.
[45]Faieghi, M. R., Delavari, H., Baleanu, D., 2012." A novel adaptive controller for two-degree of freedom polar robot with unknown perturbations ", 17, pp. 1021-1030.
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