Publications

  1. M. Singh, K. Lambeth, A. Iyer, N. Sharma, “Dynamic Active Subspaces for Model Predictive Allocation in Over-actuated Systems, IEEE Control Systems Letters (L-CSS),” accepted
  2. X. Xue, H. Wu, Q. Cai, M. Chen, S. Moon, Z. Huang, T. Kim, C. Peng, W. Feng, N. Sharma, X. Jiang, “Flexible Ultrasonic Transducers for Wearable Biomedical Applications: A Review on Advanced Materials, Structural Designs, and Future Prospects,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, in press
  3. Z. Sun, A. Iyer, K. Lambeth, C. Cleveland, N. Sharma, “Knee Extension Tracking and Fatigue Regulation Results from a Robust MPC approach in a Hybrid Exoskeleton, Control Engineering Practice, accepted
  4. N., Sharma, X. Xue, A. Iyer, X. Jiang, D. Roque, “Towards Ultrasound Imaging-based Closed-loop Peripheral Nerve Stimulation for Tremor Suppression,” Current Opinion in Biomedical Engineering. 2023 Jun 24:100484.
  5. X. Bao, Q. Zhang, N. Fragnito, J. Wang, N. Sharma, “A Clustering-based Method for Estimating Pennation Angle from B-mode Ultrasound Images,” Wearable Technologies, accepted.
  6. Q. Zhang, K. Lambeth, Z. Sun,  A. Dodson, X. Bao, N. Sharma, “Evaluation of a Fused Sonomyography and Electromyography-based Control on a Cable-Driven Ankle Exoskeleton,” IEEE Transactions on Robotics, accepted.
  7. Q. Zhang, K. Lambeth, A. Iyer, Z. Sun, N. Sharma, “Ultrasound Imaging-based Closed-Loop Control of Functional Electrical Stimulation for Drop Foot Correction,” IEEE Transactions on Control Systems and Technology, in press
  8. X Xue, B Zhang, S Moon, GX Xu, CC Huang, N Sharma, X Jiang, ” Development of a Wearable Ultrasound Transducer for Sensing Muscle Activities in Assistive Robotics Applications, Biosensors, 13 (1), 134, 2023
  9. Q. Zhang, X. Bao, N. Fragnito, N. Sharma, “A Deep Learning Method to Predict Ankle Joint Moment during Walking at Different Speeds with Ultrasound Imaging: A Framework for Assistive Devices Control,” Wearable Technologies, 3, E20, 2022.
  10. Q. Zhang, N. Fragnito, J. R. Franz, N. Sharma, “Fused Ultrasound And Electromyography-Driven Neuromuscular Model To Improve Plantarflexion Moment Prediction Across Walking Speeds,” Journal of NeuroEngineering and Rehabilitation, 19, 86 (2022)
  11. TC Bulea, N. Sharma, S. Sikdar, H. Su, “Editorial: Next Generation User-Adaptive Wearable Robots,” Front. Robot. AI 9:920655.
  12. Z. Sun, T. Qiu, A. Iyer, B.E., Dicianno, N. Sharma, “Continuous Switching Control of an Input-Delayed Antagonistic Muscle Pair During Functional Electrical Stimulation,” IEEE Transactions on Control Systems and Technology, accepted.
  13. Z. Sheng, A. Iyer, Z. Sun, K. Kim, N. Sharma, “A Hybrid Knee Exoskeleton Using Real-Time Ultrasound-Based Muscle Fatigue Assessment,” IEEE Transactions on Mechatronics, vol. 27, no. 4, pp. 1854-1862, Aug. 2022
  14. V. Molazadeh, Q. Zhang, X. Bao, N. Sharma, “An Iterative Learning Controller for a Switched Cooperative Allocation Strategy during Sit-to-Stand Tasks with a Hybrid Exoskeleton,” IEEE Transactions on Control Systems Technology, vol. 30, no. 3, pp. 1021-1036, May 2022.
  15. Q. Zhang, A. Iyer, K. Lambeth, K. Kim, N. Sharma, “Ultrasound Echogenicity as an Indicator of Muscle Fatigue during Functional Electrical Stimulation, Sensors, 22, 335. 2022
  16. Q. Zhang, W. Clark, J. Franz, and N. Sharma, “Personalized Fusion of Ultrasound and Electromyography-derived Neuromuscular Features Increases Prediction Accuracy of Ankle Moment during Plantarflexion,” Biomedical Signal Processing and Control, 71, 103100, 2022
  17. V. Molazadeh, Q. Zhang, X. Bao, B. Dicianno, N. Sharma, “Shared Control of a Powered Exoskeleton and Functional Electrical Stimulation using Iterative Learning and Fatigue Optimization,” Frontiers in Robotics and AI, 8, 329, 2021.
  18. Q. Zhang, A. Iyer, Z. Sun, K. Kim, and N. Sharma, “A Dual-modal Approach Using Electromyography and Sonomyography Improves Prediction of Dynamic Ankle Movement: A Case Study,” IEEE Transactions on Neural System and Rehabilitation Engineering, vol. 29, pp. 1944-1954, 2021
  19. Z. Sheng, Z. Sun, V. Molazadeh, and N. Sharma, “Switched Control of an N-Degree-of-Freedom Input Delayed Wearable Robotic System,” Automatica, 125, 109455, 2021.
  20. X. Bao, Z. Sheng, B. Dicianno, and N. Sharma, “A Tube-based Model Predictive Control Method to Regulate a Knee Joint with Functional Electrical Stimulation and Electric Motor Assist,” IEEE Transactions on Control Systems Technology, vol. 29, no. 5, pp. 2180-2191, Sept. 2021.
  21. Q. Zhang, K. Kim, and N. Sharma “Evaluation of Noninvasive Ankle Joint Effort Prediction Methods for Use in Neurorehabilitation using Electromyography and Ultrasound imaging,” IEEE Transactions on Biomedical Engineering, vol. 68, no. 3, pp. 1044-1055,
    March 2021
  22. Z. Sheng, N. Sharma, and K. Kim, “Ultra-high-frame-rate ultrasound monitoring of muscle contractility changes due to neuromuscular electrical stimulation,” Annals of Biomedical Engineering, vol. 49, pp. 262–275, 2021.
  23. X. Bao, V. Molazadeh, A. Dodson, Brad E. Dicianno, and Nitin Sharma,”Using Person-Specific Muscle Fatigue Characteristics to Optimally Allocate Control in a Hybrid Exoskeleton,” IEEE Transactions on Medical Robotics and Bionics, vol. 2, no.2,
    pp. 226-235, 2020.
  24. Q. Zhang, K. Kim, and N. Sharma “Prediction of Ankle Dorsiflexion Moment by Combined Ultrasound Sonography and Electromyography,” IEEE Transactions on Neural Systems and Rehabilitation Engineering,” vol. 28, no. 1, pp. 318-327, 2020.
  25. Z. Sheng, N. Sharma, and K. Kim, “Quantitative Assessment of Changes in Muscle Contractility Due to Fatigue During NMES: An Ultrasound Imaging Approach,” IEEE Transactions on Biomedical Engineering,” vol. 67, no. 3, pp. 832-841, 2020.
  26. X. Bao, Z.H. Mao, P. Munro, Z. Sun, and N. Sharma, “Sub-optimally Allocating FES-Assist in a Hybrid Neuroprosthetic System with a Multi-layer Neural Network Structure , International Journal of Intelligent Robotics and Applications, vol. 3, no. 3., pp. 298-313, 2019.
  27. Q. Chen, F. Liu, Z. Xiao, N. Sharma, S. K. Cho, and K. Kim, “Ultrasound Tracking of the Acoustically Actuated Microswimmer,” IEEE Transactions on Biomedical Engineering,” vol. 66, no. 11, pp. 3231-3237, 2019.
  28. X. Bao, N. Kirsch, A. Dodson, and N. Sharma, “Model Predictive Control of a Feedback Linearized Hybrid Neuroprosthetic System with a Barrier Penalty,” Journal of Computational and Nonlinear Dynamics, vol. 14., no. 10, 2019
  29. N. Alibeji, V. Molazadeh, F. Moore-Clingenpeel, and N. Sharma, “A Muscle Synergy Inspired Control Design to Coordinate Functional Electrical Stimulation and a Powered Exoskeleton,” IEEE Control Systems, 38 (6), pp. 35-60, 2018.
  30. N. Alibeji, V. Molazadeh, B. Dicianno, and N. Sharma, “A Control Scheme that uses Dynamic Postural Synergies to Coordinate a Hybrid Walking Neuroprosthesis: Theory and Experiments,” Frontiers in Neuroscience, section: Neural Prostheses for Locomotion, vol. 12, pp. 159, 2018.
  31. N. Kirsch, X. Bao, Brad E. Dicianno, and N. Sharma, “Model-based Dynamic Control Allocation in a Hybrid Neuroprosthesis,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 1, pp. 224-232,2018.
  32. N. Sharma, N. Kirsch, N. Alibeji, and W. E. Dixon “A Nonlinear Control Method to Compensate for Muscle Fatigue During Neuromuscular Electrical Stimulation,” Frontiers in Robotics and AI, vol. 4, pp. 68, 2017.
  33. M. Allen, Q. Wang, N. Kirsch, A. Dani, W. Clark, and N. Sharma, “A Nonlinear Limb Angle Estimator for Functional Electrical Stimulation-elicited Tasks,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 12, pp. 2365-2374, 2017.
  34. B. Doll, N. Kirsch, X. Bao, B.E. Dicianno, and N. Sharma, “Dynamic Optimization of Stimulation Frequency to Reduce Isometric Muscle Fatigue Using a Modified Hill-Huxley Model“, Muscle & Nerve, 2017.
  35. N. Alibeji and N. Sharma, “A PID-type Robust Input Delay Compensation Method for Uncertain Euler-Lagrange Systems,” IEEE Transactions on Control Systems and Technology, vol. 25, no. 6, pp. 2235-2242, 2017
  36. N. Alibeji, N. Kirsch, B. E. Dicianno, and N. Sharma, “A Modified Dynamic Surface Controller for Delayed Neuromuscular Electrical Stimulation,” IEEE/ASME Transactions on Mechatronics, vol. 22, no. 4, pp. 1755–1764, 2017.
  37. N. Alibeji, B. E. Dicianno, and N. Sharma, “Bilateral Control of Functional Electrical Stimulation and Robotics-based Telerehabilitation,” International Journal of Intelligent Robotics and Applications, vol. 1, no. 1, pp. 6–18, 2017.
  38. N. Alibeji, N. Kirsch, and N. Sharma, “An Adaptive  Low-Dimensional Control to Compensate for Effector Redundancy and FES-Induced Muscle Fatigue in a Hybrid Neuroprosthesis,” Control Engineering Practice, vol. 59, pp. 204–2019, 2017.
  39. N. Kirsch, N. Alibeji, and N. Sharma, “Nonlinear Model Predictive Control of Functional Electrical Stimulation,” Control Engineering Practice, vol. 58, pp 319-331, 2017.
  40. N. Alibeji, N. Kirsch, and N. Sharma, ” A Muscle Synergy-inspired Adaptive Control Scheme for a Hybrid Walking Neuroprosthesis,” Frontiers in Bioengineering and Biotechnology, section Bionics and Biomimetics, vol. 3, no. 203, 2015.
  41. N. Alibeji, N. Kirsch, and N. Sharma, ” Further Results on Predictor-based Control of Neuromuscular Electrical Stimulation,”  IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 23, no. 6, pp 1095-1105, 2015.
  42. N. Sharma, V. Mushahwar, and R. Stein, “ Dynamic Optimization of FES and Orthosis-based Walking using Simple Models,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 22, no. 1, pp. 114-126, 2014.
  43. Q.Wang, N. Sharma, M. Johnson, C. M. Gregory, and W. E. Dixon, “ Adaptive Inverse Optimal Neuromuscular Electrical Stimulation,” IEEE Transactions on Cybernetics, vol. 43, no.6, pp. 1710-1718, 2013.
  44. N. Fischer, A. Dani, N. Sharma, and W. E. Dixon, “ Saturated Control of an Uncertain Nonlinear System with Input Delay,” Automatica, vol. 49, no. 6, pp. 1741-1747, 2013.
  45. N. Sharma, C. M. Gregory, M. Johnson, and W. E. Dixon, ” Closed-loop Neural Network-based NMES Control for Human Limb Tracking,” IEEE Transactions on Control Systems Technology, Vol. 20, No. 3, pp. 712-725, May 2012.
  46. N.Sharma, S. Bhasin, Q. Wang, and W. E. Dixon, “ RISE-based Adaptive Control of a Control Affine Uncertain Nonlinear System with Unknown State Delays,” IEEE Transactions on Automatic Control, vol.57, no.1, pp. 255-259, Jan. 2012.
  47. N.Sharma, C. M. Gregory, and W. E. Dixon, “ Predictor-based Compensation for Electromechanical Delay during Neuromuscular Electrical Stimulation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.19, no.6, pp. 601-611, Dec. 2011.
  48. N.Sharma, S. Bhasin, Q. Wang, and W. E. Dixon, “ Predictor-Based Control for an Uncertain Euler-Lagrange System with Input delay,” Automatica, vol. 47, no. 11, pp. 2332-2342,2011.
  49. R.J. Downey, M. Bellman, N. Sharma, Q. Wang, C. M. Gregory, and W. E. Dixon, “ Novel Modulation Strategy to Increase Stimulation Duration in Neuromuscular Electrical Stimulation,” Muscle & Nerve, vol. 44, no. 3, pp. 382-387,2011.
  50. S.Bhasin, N. Sharma, Q. Wang, and W. E. Dixon, “ Asymptotic Tracking by a Reinforcement Learning based Adaptive Critic Controller,” Journal of Control Theory and Applications, Vol. 9, No. 3, pp. 400-409, 2011.
  51. N. Sharma, K. Stegath, C. M.Gregory, and W. E. Dixon, “ Nonlinear Neuromuscular Electrical Stimulation Tracking Control of a Human Limb,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 17, No. 6, pp. 576-584, 2009.
  52. C. M. Gregory, C. S. Bickel, N.Sharma, and W.E. Dixon, “ Comparing the Force and Excursion-Frequency Relationships in Human Skeletal Muscle,” Muscle and Nerve, Vol 38, No. 6,pp. 1627-9, 2008.
  1. K. Lambeth, M. Singh, N. Sharma, Robust Control Barrier Functions for Safety Using a Hybrid Neuroprosthesis, American Control Conference, San Diego, 2023, accepted.
  2. A. Iyer, M. Singh, and N. Sharma, Cooperative Control of a Hybrid Exoskeleton Using Optimal Time-Varying Impedance Parameters During Stair Ascent, American Control Conference, San Diego, 2023, accepted.
  3. M. Singh and Nitin Sharma Data-driven Model Predictive Control for Drop Foot Correction, American Control Conference, San Diego, 2023, accepted.
  4.  X. Xue, A. Iyer, and N. Sharma,  Koopman-based Data-driven Model Predictive Control of Limb Tremor Dynamics with Online Model Updating, American Control Conference, San Diego, 2023, accepted.
  5. X. Xue, A. Iyer, D. Roque, and N. Sharma, “ Nonlinear System Identification of Tremors Dynamics: A Data-driven Approximation Using Koopman Operator Theory,” IEEE Neural Engineering Conference 2023, accepted.
  6. K. Lambeth, Z. Sun, M. Singh, N. Sharma, “Robust MPC-based Synergy Control of a Hybrid Neuroprosthesis for Foot Placement,” 2022 6th IEEE Conference on Control Technology and Applications, accepted.
  7. A. Iyer, M. Singh, Q. Zhang, Z. Sun, Nitin Sharma, “An Online Actor-Critic Identifier with Sampled Fatigue Measurements for Optimal Adaptive Control of FES and an Electric motor,” 2022 6th IEEE Conference on Control Technology and Applications, accepted
  8. Q. Zhang, A. Iyer, K. Lambeth, K. Kim, and N. Sharma, “Ultrasound Echogenicity-based Assessment of Muscle Fatigue During Functional Electrical Stimulation,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5948-5952, 2021.
  9. Q. Zhang, N. Fragnito, A. Myers, and N. Sharma, “Plantarflexion Moment Prediction during the Walking Stance Phase with an sEMG-Ultrasound Imaging-Driven Model,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6267-6272, 2021.
  10. Z. Sun,  X. Bao, Q. Zhang, K. Lambeth, and N. Sharma, “A Tube-based Model Predictive Control Method for Joint Angle Tracking with Functional Electrical Stimulation and An Electric Motor Assist,” in 2021 American Control Conference, New Orleans, Louisiana, USA, pp. 1390-1395, 2021
  11. Q. Zhang, A. Iyer, and N. Sharma, ” Sampled-Data Observer Based Dynamic Surface Control of Delayed Neuromuscular Functional Electrical Stimulation, DSCC, Pittsburgh, PA, 2020, vol. 84270, p.V001T14A003.
  12. Z. Sheng, K. Kim, and N. Sharma, ” An Ultrasound Imaging Based Observer for Estimating NMES-Induced Muscle Fatigue: Theory and Simulation, DSCC, Pittsburgh, PA, 2020, vol. 84270, p. V001T14A004.
  13. A. Iyer, Z. Sheng, Q. Zhang, K. Kim, and N. Sharma, “Analysis of Tremor During Grasp Using Ultrasound Imaging,” Proceedings of the 8th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2020), pp. 533-538.
  14. Q. Zhang, A. Iyer, K. Kim, and N. Sharma,”Volitional Contractility Assessment of Plantar Flexors by Using Non-invasive Neuromuscular Measurements,” Proceedings of the 8th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2020), pp. 515-520.
  15. V. Molazadeh, Q. Zhang, X. Bao, and N. Sharma, “Neural-Network Based Iterative Learning Control of a Hybrid Exoskeleton with an MPC Allocation Strategy,” ASME Dynamic Systems Control Conference, Park City, City, Utah, 2019, Vol. 59148, V001T05A011.
  16. Q. Zhang, Z. Sheng, K. Kim, and N. Sharma, “Ankle Dorsiflexion Strength Monitoring by Combining Sonomyography and Electromyography,” 2019 IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR), Toronto, Canada, pp. 240-245, IEEE, 2019.
  17. Z. Sheng, N. Sharma and K.Kim, “Muscle Fatigue Assessment in a Wearable Neuroprosthesis Using Ultrasound Strain Imaging,” International Functional Electrical Stimulation Society Conference, Rehabweek 2019, Toronto.
  18. Q. Zhang, Z. Sheng, K. Kim, and N. Sharma, “Observer Design for a Nonlinear Neuromuscular System with Multi-rate Sampled and Delayed Output Measurements,” American Control Conference, Philadelphia 2019, pp. 872-877, IEEE, 2019.
  19. Z. Sun, X. Bao, and N. Sharma, “Tube-based Model Predictive Control of An Input Delayed Functional Electrical Stimulation,” American Control Conference, Philadelphia 2019, pp. 5420-5425, IEEE, 2019.
  20. V. Molazadeh, Z. Sheng, X. Bao, and N. Sharma, “A Robust Iterative Learning Switching Controller for Following Virtual Constraints: Application to a Hybrid Neuroprosthesis,” 2nd IFAC Conference on Cyber-Physical & Human-Systems, IFAC-PapersOnLine, vol. 51, no. 34, pp. 28-33, 2019.
  21.  Z. Sun, X. Bao, and N. Sharma,” Lyapunov-Based Model Predictive Control of an Input Delayed Functional Electrical Simulation,” 2nd IFAC Conference on Cyber-Physical & Human-Systems, IFAC-PapersOnLine, vol. 51, no. 34, pp. 290-295, 2019.
  22. F. Moore-Clingepeel, V. Molazadeh, and N. Sharma, “An Active-Subspace-Based Algorithm for Reducing Redundancy in a Hybrid Neuroprosthesis,”
  23. V. Molazadeh, Z. Sheng, N. Sharma, “A Within-Stride Switching Controller for Walking with Virtual Constraints: Application to a Hybrid Neuroprosthesis,” American Control Conference, Milwaukee, 2018, pp. 5286-5291.
  24. Z. Sheng, V. Molazadeh, and N Sharma, “Hybrid Dynamical System Model and Robust Control of a Hybrid Neuroprosthesis Under Fatigue Based Switching,” American Control Conference, Milwaukee, 2018, pp. 1446-1451.
  25. X. Bao, Z. Sheng, and N. Sharma, “A Tube-based Model Predictive Control Method for Sharing Control Inputs in a Hybrid Neuroprosthesis,” IROS workshop on Assistance and Service Robotics in a Human Environment, Vancouver, 2017.
  26. X. Bao, Z. Sun, and N. Sharma, “A Recurrent Neural Network based MPC for a Hybrid Neuroprosthesis System“, IEEE Conference on Decision and Control, Melbourne, Australia 2017, pp. 4715-4720.
  27. A. Dodson, N. Alibeji, and N. Sharma, “Experimental Demonstration of a Delay Compensating Controller in a Hybrid Walking Neuroprosthesis,” International IEEE EMBS Conference On Neural Engineering, Shanghai, China, 2017, pp. 465-468.
  28. N. Alibeji, N. Kirsch, and N. Sharma, “Preliminary Experiments of an Adaptive Low-Dimensional Control for a Hybrid Neuroprosthesis,” International Conference on NeuroRehabilitation , Spain, 2016, Converging Clinical and Engineering Research on Neurorehabilitation II. Springer International Publishing, 2017. 693-697.
  29. N. Kirsch, N. Alibeji, M. Redfern, and N. Sharma, “Dynamic Optimization of A Hybrid Gait Neuroprosthesis to Improve efficiency and Walking Duration: A Simulation Study,”  International Conference on NeuroRehabilitation, Spain, 2016, Converging Clinical and Engineering Research on Neurorehabilitation II. Springer International Publishing, 2017. 687-691.
  30. N. Kirsch, N. Alibeji, and N. Sharma, “Switching Control of Functional Electrical Stimulation and Motor Assist for Muscle Fatigue Compensation,” American Control Conference, Boston, MA, 2016, pp. 4865-4870.
  31. X. Bao, N. Kirsch, and N. Sharma, “Dynamic Control Allocation of a Feedback Linearized Hybrid Neuroprosthetic System,” American Control Conference, Boston, MA, 2016, pp. 3976-3981.
  32. T. Qui, N. Alibeji, and N. Sharma, “Robust Compensation of Electromechanical Delay During Neuromuscular Electrical Stimulation of Antagonistic Muscles,” American Control Conference, Boston, MA, 2016, pp. 4871-4876.
  33. H. Ravichandar, A. Dani, J. Khadijah-Hajdu, N. Kirsch, Q. Zhong, and N. Sharma, “Expectation Maximization Method to Identify an Electrically Stimulated Muscuoskeletal Model,” ASME Dynamic Systems and Control Conference, Columbus, Ohio, 2015, pp. V002T23A009.
  34. N. Kirsch, N. Alibeji, and N. Sharma, “Nonlinear Model Predictive Control of Functional Electrical Stimulation,” ASME Dynamic Systems and Control Conference, Columbus, Ohio, 2015, pp. V002T27A005.
  35. B. Doll, N. Kirsch, and N. Sharma, “Optimization of a Stimulation Train based on a Predictive Model of Muscle Force and Fatigue,” 9th IFAC Symposium on Biological and Medical Systems, Berlin, Germany, Vol 48, No. 20, pp. 338-342, 2015.
  36. N. Alibeji, N. Kirsch, and N. Sharma, “An Adaptive Low-Dimensional Control for a Hybrid Neuroprosthesis,” 9th IFAC Symposium on Biological and Medical Systems, Berlin, Germany, Vol 48, No. 20, pp. 303-308, 2015.
  37. N. Alibeji, N. Kirsch, and N. Sharma, “Dynamic Surface Control of Neuromuscular Electrical Stimulation of a Musculoskeletal System with Activation Dynamics and an Input Delay,” American Control Conference, Chicago, IL, 2015, pp. 631-636.
  38. A. Dani and N. Sharma, ” A Discrete-Time Nonlinear Estimator for an Orthosis-Aided Gait,” ASME Dynamic Systems and Control Conference, San Antonio, Texas, 2014, pp. V001T04A003. (Invited Session Paper)
  39. N. Kirsch, N. Alibeji, and N. Sharma, ” Model Predictive Control-based Dynamic Control Allocation in a Hybrid Neuroprosthesis,” ASME Dynamic Systems and Control Conference, San Antonio, Texas, 2014, pp. V003T43A003. (Invited Session Paper)
  40. N. Kirsch, N. Alibeji, L. Fisher, C. Gregory, and N. Sharma, ” A Semi-Active Hybrid Neuroprosthesis for Restoring Lower Limb Function in Paraplegics,” 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, Illinois, 2014, pp. 2557-2560.
  41. N. Alibeji, N. Kirsch, A. Sethi, and N. Sharma, ” A State Synchronization Controller for Functional Electrical Stimulation-Based Telerehabilitation,” ASME Dynamic Systems and Control Conference, San Antonio, Texas, 2014, pp. V003T43A004. (Invited Session Paper)
  42. N. Sharma, and A. Dani, ” Nonlinear Estimation of Gait Kinematics during Functional Electrical Stimulation and Orthosis-based Walking,”  American Control Conference, Portland, Oregon, 2014, pp. 4778-4783. (Invited Session Paper)
  43. N. Alibeji, N. Kirsch, and N. Sharma, ” Control of Functional Electrical Stimulation in the Presence of Electromechanical and Communication Delays,” 6th International IEEE EMBS Conference on Neural Engineering, San Diego, CA, 2013, pp. 299-302.
  44. N. Kirsch, N. Alibeji, and N. Sharma, ” Optimized Control of Different Actuation Strategies for FES and Orthosis aided Gait,” ASME Dynamic Systems and Control Conference, Palo Alto, CA, 2013, pp. V001T09A006. (Invited Session Paper)
  45. N. Fischer, R. Kamalapurkar, N.Sharma, and W. E. Dixon, ” RISE-Based Control of an Uncertain Nonlinear System With Time-Varying State Delays,” IEEE Conference on Decision and Control,Maui, Hawaii, USA, Dec. 10-13, 2012, pp. 3502-3507.
  46. N. Sharma and R. Stein, “ Gait Planning and Double Support Phase Model for Functional Electrical Stimulation-based Walking,” 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, 2012, pp.1904-1907.
  47. N. Sharma, “ Predictor-based Compensation for Electromechanical Delay during Neuromuscular Electrical Stimulation-II,” American Control Conference, Montreal, QC, 2012, pp. 5604- 5609.
  48. N. Fischer, A. Dani, N. Sharma,and W. E. Dixon, “ Saturated Control of an Uncertain Euler Lagrange System with Input Delay,” IEEE Conference on Decision and Control, Orlando, FL, 2011,pp. 7587-7592.
  49. N. Sharma and R. Stein, “ Optimal Trajectory Planning for a Constrained Functional Electrical Stimulation-Based Human Walking,” 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, pp. 603-7.
  50. N. Sharma, S. Bhasin, Q. Wang,and W. E. Dixon, “ RISE-based Adaptive Control of an Uncertain Nonlinear System with Unknown State Delays,” IEEE Conference on Decision and Control,Atlanta, GA, 2010, pp. 1773-78.
  51. Q. Wang, N. Sharma, M. Johnson,and W. E. Dixon, “ Asymptotic Optimal Control of Neuromuscular Electrical Stimulation,” IEEE Conference on Decision and Control, Atlanta, GA, 2010,pp. 839-844.
  52. Q. Wang, N. Sharma, M. Johnson,and W. E. Dixon, “ Adaptive Inverse Optimal Neuromuscular Electrical Stimulation,” IEEE International Symposium on Intelligent Control (ISIC),Yokohama, Japan, September 2010, pp. 1287-1292.
  53. N. Sharma, S. Bhasin, Q.Wang, and W. E. Dixon, “ Predictor-Based Control for an uncertain Euler-Lagrange System with Input delay,” American Control Conference, Baltimore, MD, 2010, pp.1422-1427.
  54. S. Bhasin, N. Sharma, P. M.Patre, and W. E. Dixon, “ Robust asymptotic tracking of a class of nonlinear systems using an adaptive critic based controller,” American Control Conference,Baltimore, MD, 2010, pp. 3223-3228.
  55. N. Sharma, P. M. Patre, C.M.Gregory, and W. E. Dixon, “ Nonlinear Control of NMES: Incorporating Fatigue and Calcium Dynamics,” ASME Dynamic Systems and Control Conference, Hollywood,CA, 2009, pp. 705-712.
  56. N. Sharma, M. Johnson, C. M.Gregory, and W. E. Dixon, “ Modified Neural Network-based Electrical Stimulation for Human Limb Tracking,” IEEE International Symposium on Intelligent Control (ISIC 2008), San Antonio, Texas, 2008, pp. 1320-1325.
  57.  K. Stegath, N. Sharma, C. M. Gregory, and W.E. Dixon, “ Nonlinear Tracking Control of a Human Limb via Neuromuscular Electrical Stimulation,” American Control Conference, Seattle, WA, 2008,pp. 1941-1946.
  58.  K. Stegath, N. Sharma, C. M. Gregory, and W.E. Dixon, “ Experimental Demonstration of RISE based NMES of Human Quadriceps Muscle,” IEEE-NIH Life Science Systems and Applications (LISSA’07)workshop, Bethesda, MD, pp 43-46.
  59.  K. Stegath, N. Sharma, C. M. Gregory, and W.E. Dixon, “ An Extremum Seeking Method for Non-isometric Neuromuscular Electrical Stimulation,” IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, 2007, pp. 2528-2532.
  1. X Bao, V. Molazadeh, A. Dodson, N. Sharma. “Model Predictive Control-Based Knee Actuator Allocation During a Standing-Up Motion with a Powered Exoskeleton and Functional Electrical Stimulation.” Advances in Motor Neuroprostheses. Springer Cham. 2020. 89-100.
  2. JC Moreno, S Mohammed, N Sharma, AJ del-Ama. “Hybrid Wearable Robotic Exoskeletons for Human Walking.” Wearable Robotics. Academic Press. 2020. 347-364.
  3. N. Sharma and N. Kirsch. “Modeling and Dynamic Optimization of a hybrid Neuroprosthesis for Gait Restoration.” Human Modeling for Bio-Inspired Robotics. Ed. Jun Ueda, Yuichi Kurita. Elsevier, 2016.