NCBS Lab

School of Electrical Engineering and Computer Science

Kyungpook National University


Journal Publications  || Conference Publications 

 

||  Patents-Books    ||      


 

 

JOURNAL PUBLICATIONS

 

 

 

 

 

2018 ~

 

 

[J-52] S. Kavuri, Q. H. Chai, K. C. Veluvolu, ``Evolutionary Based ICA With Reference for EEG Rhythm Extraction"IEEE Access, Vol. 6, No.1, pp. 19702-19713,  2018.  [I.F: 3.244]

 

[J-51] S. Kommuri, S. B. Lee, K. C. Veluvolu, ``Robust Sensors-Fault-Tolerance with Sliding Mode Estimation and Control for PMSM Drives"IEEE/ASME Transactions on Mechatronics, Vol. 23, No.1, pp. 17 --28,  FEB 2018.   [I.F: 4.357]

 

[J-50] S. Kommuri, J.Rath, K. C. Veluvolu, ``Sliding Mode Based Observer-Controller Structure for Fault-Resilient Control in DC Servomotors"IEEE Transactions on Industrial Electronics, Vol.65, No. 1, pp.918-929, 2018.  [I.F: 7.138]

 

 

 

 

2017

 

 

[J-49] Y. Wang, K. C. Veluvolu, ``Time-Frequency Analysis of Non-stationary Biological Signals with Sparse Linear Regression based Fourier Linear Combiner"Sensors , 17(6), 1386; doi:10.3390/s17061386, June 2017. [I.F: 2.667]

 

[J-48] D Vangi, H Steffan, J Wang, K.C. Veluvolu , ``IEEE Access Special Section Editorial: Recent Advances on Modelling, Optimization and Signal Processing Methods in Vehicle Dynamics and Crash-worthiness"IEEE Access, Vol. 5,  2017, pp. 7517 - 7519,  June 2017. [I.F: 3.244]

 

[J-47] A. Gautam, K. C. Veluvolu, Y. C. Soh, Communication-computation tradeoff in distributed consensus optimization for MPC-based coordinated control under wireless communications, Journal of the Franklin Institute, Vol. 354, No. 9,  pp.  3654–3677, June 2017,. [I. F: 2.327]

 

[J-46] G. Shafiq, K. C. Veluvolu, Multimodal chest surface motion data for respiratory and cardiovascular monitoring applications , Scientific Data, Vol. 4, No. 170052, Apr 2017.  DOI: 10.1038/sdata.2017.52 2017. [I. F: 4.836]

 

[J-45]  Y. Wang, K. C. Veluvolu, Evolutionary Algorithm Based Feature Optimization for Multi-Channel EEG Classification, Frontiers in Neuroscience, Vol. 11, No. 28. doi: 10.3389/fnins.2017.00028,  Feb 2017. [I. F: 3.398]

 

[J-44] J. J. Rath, M. Defoort, H. Karimi, K. C. Veluvolu , Output Feedback Active Suspension Control with Higher Order Terminal Sliding Mode, IEEE Transactions on Industrial Electronics, Vol. 64, No.2, pp. 1392 - 1403, Feb 2017. [I.F: 7.138]

 

[J-43] S. Tatinati,  K. Nazarpour, W. T. Ang, K. C. Veluvolu, Multi-dimensional Modeling of Physiological Tremor for Active Compensation in Hand-held Surgical Robotics,  IEEE Transactions on Industrial Electronics, Vol. 64, No. 2, pp. 1645-1655, Feb 2017. [I.F: 7.138]

 

2016

 

 

[J-42] S. Kommuri, M. Defoort, H. R. Karimi, K. C. Veluvolu, ``A Robust Observer-based Sensor Fault-Tolerant Control for PMSM in Electric Vehicles"IEEE Transactions on Industrial Electronics, Vol. 63, No. 12, pp. 7671-7681, Dec 2016 [I.F: 7.138]

 

[J-43] G. Shafiq, R. Tatinati, W. T. Ang, K. C. Veluvolu, Automatic Identification of Seismocardiogram for Systolic Time Interval Estimation, Nature Scientific Reports, Vol. 2016, No. 37524, Nov 2016. [I. F.: 5.228]

 

[J-42] K. Adhikari, S. Tatinati, W. T. Ang, K. C. Veluvolu, K. Nazarpour,  A Quaternion Weighted Fourier Linear Combiner for Modeling Physiological Tremors,   IEEE Transactions on Biomedical Engineering, Vol. 63, No. 11, pp. 2336-2346, 2016.   [I.F: 2.46]

 

[J-41] J. J. Rath,  M. Defoort, K. C. Veluvolu,  ``Rollover index estimation in the presence of sensor faults, unknown inputs and uncertainties", IEEE Transactions on Intelligent Transportation Systems, Vol. 17, No. 10, pp. 2949 –2959, Oct 2016.   [I.F: 2.377]

 

[J-40] V. Gonuguntla, Y. Wang, K. C. Veluvolu , Event-Related Functional Network Identification:Application to EEG Classification, IEEE Journal of Special Topics in Signal Processing, Vol.10, No.7, pp. 1284–1294, 2016. [I. F: 2.569]

 

[J-39] S. Tatinati, K. Nazarpour, W. T. Ang, K. C. Veluvolu, ``Ensemble framework based real-time respiratory motion prediction for adaptive radiotherapy applications"Medical Engineering and Physics, Vol. 38, No. 8, pp. 749-757, 2016. [I.F: 1.619]

 

[J-38] M. Defoort, K. C. Veluvolu, J. J. Rath, M. Djemai,  Adaptive sensor and actuator fault estimation for a class of uncertain Lipschitz nonlinear systems,   International Journal of Adaptive Control and Signal Processing, Vol. 30, No. 2, pp. 271 - 283, Feb 2016. [I.F: 1.656] [592 kb]

 

 

2015

 

 

[J-37]  U. Park, J. S. Kang, V. Gonuguntla, K. C. Veluvolu, M. Lee,   Human Implicit Intent Recognition based on the Phase Synchrony of EEG Signals, Pattern Recognition Letters, Vol. 66, pp. 144-152, November 2015. [SCI, IF: 1.062] [3391 kb]

 

[J-36]  J. J. Rath, K. C. Veluvolu, M. Defoort,  Simultaneous Estimation of Road Profile and Tyre Road Friction for Automotive Vehicle, IEEE Transactions on Vehicular Technology, Vol. 64, No. 10,  pp. 4461– 4471,  2015. [I.F: 2.26] [1335 kb]

 

[J-35]   J. V. Gorp, M. Defoort, M. Djemai, K. C. Veluvolu,  'Fault detection based on higher order sliding mode observer for a class of switched linear systems,  IET Control Theory and Applications,  Vol. 9, No. 15, pp. 2249-2256, 2015. [I.F: 1.84] [923 kb]

 

[J-34]  H. Moussa, D. Lee, K. C. Veluvolu Rotor Speed-Based Bearing Fault Diagnosis (RSB-BFD) Under Variable Speed and Constant LoadIEEE Transactions on Industrial Electronics, Vol. 62, No. 10, pp. 6486-6496,  2015. [SCI, IF: 6.5] [2252 kb]

 

[J-33] M. Defoort, A. Polykav, G. Demesure, M. Djemai, K. C. Veluvolu,  Leader-follower fixed-time consensus for multi-agent systems with unknown nonlinear inherent dynamics,   IET Control Theory and Applications,  Vol. 9, No. 14, pp. 2165-2170, 2015. [I.F: 1.84]   [3266 kb]

 

[J-32]  J. J. Rath, K. C. Veluvolu, M. Defoort,  Active Control of Nonlinear Suspension System Using Modified Adaptive Supertwisting Controller, Discrete Dynamics in Nature and Society, Vol. 2015, Article ID 408623, 10 pages, 2015. [I.F: 0.877] [3371 kb]

 

[J-31]  V. Gonuguntla, R. Mallipeddi, K. C. Veluvolu, Differential Evolution with Population and Strategy Parameter Adaptation, Mathematical Problems in Engineering, Vol. 2015, Article ID 287607, 10 pages,  Apr 2015. [I.F: 1.026] [2065 kb]

 

[J-30] S. Kommuri, J. J. Rath, K. C. Veluvolu, M. Defoort, Y C Soh,  Decoupled Control and Sensor Fault Detection with Higher-order Sliding Mode for Induction Motor,  IET Control Theory and Applications,  Vol. 9, No. 4, pp. 608 – 617, Feb 2015. [I.F: 1.84] [1023 kb]

 

[J-29]  S. Tatinati, K. C. Veluvolu, W. T. Ang,  Multistep Prediction of Physiological Tremor Based on Machine Learning For Robotics Assisted Microsurgery , IEEE Transactions on Cybernetics, Vol. 45, No. 2, pp. 328 -338,  Feb 2015 [I.F: 3.236] [2039 kb]

 

 

2013 ~ 2014

 

 

[J-28] D. Kim, D. Lee and K. C. Veluvolu, Accomdation of Actuator Fault Using Local Diagnosis and IMC-PID, International Journal of Control, Automation and Systems, Vol. 12, No.6, pp. 1139-1149, 2014 [I.F: 1.063] [992 kb]

 

[J-27] M. Defoort and K. C. Veluvolu, A motion planning framework with connectivity management for multiple cooperative robots, Journal of Intelligent and Robotic Systems, Vol. 75, No. 2, pp 343-357 2014,  [I.F: 0.810] [822 kb]

 

[J-26] J. V. Gorp, M. Defoort,  K. C. Veluvolu and M. Djemai,  Hybrid sliding mode obeserver for switched linear systems with unknown inputs Journal of the Franklin Institute, Vol. 351, No. 7, pp 3987–4008, 2014. [Q1, I.F: 2.724] [808 kb]

 

[J-25] G. Shafiq and K. C. Veluvolu, Surface Chest Motion Decomposition for Cardiovascular Monitoring, Scientific Reports, Vol. 4, No. 5093, 2014. [Q1, I.F: 5.078]   [1348 kb]

 

[J-24] S. K. Kommuri, K. C. Veluvolu and M. Defoort Y. C. Soh, Higher-Order Sliding Mode Observer for Speed and Position Estimation in PMSM,  Mathematical Problems in Engineering, Vol. 2014, Article ID 589109, 12 Pages  2014. [I.F: 1.38]  [4275 kb]

 

[J-23] J. J. Rath, K. C. Veluvolu, M. Defoort,  and Y. C. Soh Higher-order sliding mode observer for estimation of Tyre friction  in Ground Vehicles, IET Control Theory and Applications, Vol. 8, No. 6, pp 399 – 408,  2014.  [Q1, IF: 1.844] [660 kb]

 

[J-22] K. C. Veluvolu, M. Defoort and Y. C. Soh, High-Gain Observer with Sliding Mode for Nonlinear State Estimation and Fault Reconstruction, Journal of the Franklin Institute, Vol. 351, No. 4, pp 1995 - 2014, 2014. [SCI, I.F: 2.724] [665 kb]

 

[J-21] J. J. Rath, K. C. Veluvolu, M. Defoort,  Adaptive super-twisting Observer for estimation of Random Road Profile in Automotive Suspension Systems, The Scientific World Journal, vol. 2014, Article ID 203416, 8 pages, 2014. [SCIE, IF: 1.730]

[2828 kb]

 

[J-20]Y. Wang, K. C. Veluvolu, M. Lee, Time-Frequency Analysis of Band-limited EEG with BMFLC and Kalman Filter for BCI Applications, Journal of NeuroEngineering and Rehabilitation 10:109, 2013. [SCI, I.F: 2.57]

 

[J-19] K. C. Veluvolu, S. Tatinati, S. M. Hong and W. T. Ang, Multi-step Prediction of Physiological Tremor for Surgical Robotics Applications, IEEE Transactions on Biomedical Engineering, Vol. 60, No. 11, pp 3074 - 3082, 2013.  [1662 kb] [SCI, I.F: 2.2]

 

[J-18] S. Tatinati, K. C. Veluvolu, A hybrid Approach For Short-Term Forecasting of Wind Speed, The Scientific World Journal,  vol. 2013, Article ID 548370, 8 pages, 2013.  doi: 10.1155/2013/548370. [1360 kb] [SCIE, IF: 1.730]

 

[J-17] S. Tatinati, K. C. Veluvolu, S.-M. Hong, W. T. Latt and W. T. Ang, Real-time Tremor Modeling with Auto-regressive model and Kalman Filter for Surgical Robotics Applications, IEEE Sensors Journal, Vol. 13, No. 12, p. 4977 - 4985, 2013. [1781 kb] [Q1, SCI, I.F: 1.852]

 

 

2011 ~ 2012

 

 

[J-16] Y. Wang, K. C. Veluvolu, J. H. Cho and M. Defoort, Adaptive Estimation of EEG mu- Rhythm for subject-specific reactive band Identification and Improved ERD detection, Neuroscience Letters, Vol. 528, No.2, pp. 137-142 2012. [814 kb] [SCI, IF: 2.1]

 

[J-15] K. C. Veluvolu ,Y. Wang and S. Kavuri, Adaptive Estimation of EEG Rhythms for Optimal band Estimation in BCI, Journal of Neuroscience Methods, Vol. 203, No.1, pp. 163- 172, January, 2012.  [2379 kb] [SCIE, IF: 2.2]

 

[J-14]  K. C. Veluvolu and Y. C. Soh, Fault Reconstruction and State Estimation with Sliding Mode Observers for Lipchitz Nonlinear Systems, IET Proceedings on Control Theory and Applications, Vol. 5, no. 11, pp. 1255-1263, 2011. [408 kb] [SCI, IF: 1.78]

 

[J-13] M. Y. Kim, K. C. Veluvolu and S. Lee, Lateral Scanning Linnik interferometry for large field of view and fast scanning: water bump inspection, International Journal of Optomechatronics, Vol. 5,  No. 4, December, 2011. [1197 kb] [SCIE, IF: 0.48]

 

[J-12] W.T. Latt, K. C. Veluvolu and W. T. Ang, Drift free position estimation of Periodic Motion using Inertial Sensors, Sensors, Vol. 11, no. 6, pp. 5931-5951, 2011.   [1249 kb] [SCIE, IF: 1.957]

 

[J-11] K. C. Veluvolu, M. Y. Kim and D. Lee, Nonlinear Sliding Mode High-Gain Observers for Fault Diagnosis and Estimation, International Journal of Systems Science, Vol. 42, no. 7, pp. pp. 1065 - 1074, 2011. [434 kb] [SCIE, IF: 1.53]

 

[J-10] K. C. Veluvolu, and Y. C. Soh, Multiple Sliding Mode State and Unknown Input Estimations for  Nonlinear Uncertain Systems, International Journal of Robust and Nonlinear Control, Vol. 21, no. 11, pp.  1322- 1340, 2011. [392 kb] [SCIE, IF: 1.730]

 

[J-9] K. C. Veluvolu and W. T. Ang, Physiological Tremor Estimation from Accelerometers for Real-Time Applications, Sensors, Vol. 11, no. 3,  pp. 3020-3036, 2011.  [636 kb][SCIE, IF: 1.957]

 

[J-8] K. C. Veluvolu and D. Lee, Sliding Mode High-Gain Observers for a Class of Uncertain Nonlinear SystemsApplied Mathematics Letters, Vol. 24, no. 3, pp. 329- 334, 2011.   [442 kb] [SCIE, IF: 1.5]


 

2009 ~ 2010

 

 

[J-7] K. C. Veluvolu,   and W. T. Ang, Estimation and Filtering of Physiological Tremor for Surgical Robotics Applications, International Journal of Medical Robotics and Computer Assisted Surgery,  Vol. 6, no. 3, pp. 334- 342,  2010.   [384 kb] [SCIE, IF: 1.730]

 

[J-6] K. C. Veluvolu,  W. T. Latt,  and W. T. Ang, Double Adaptive Fourier Linear Combiner for Real-time Estimation/Filtering of Tremor, Journal of Biomedical Signal Processing and ControlVol. 5, no. 1, pp. 33 - 44,  2010.    [1751 kb] [SCIE, IF: 1.32]

 

[J-5] K. C. Veluvolu, and Y. C. Soh, High Gain Observer with Sliding Mode for State and Unknown Input Estimations        IEEE Transactions on Industrial Electronics, Vol. 56, no. 9, pp. 3386 - 3393 , 2009.   [514 kb][SCI, IF: 5.16]

 

[J-4] K. C. Veluvolu,  and Y. C. Soh, Discrete-time Multiple Sliding Mode State and Unknown Input Estimations for Nonlinear SystemsIEEE Transactions on Industrial Electronics, Vol. 56, no. 9, pp. 3443 - 3452 , 2009.   [396 kb] [SCI, IF: 5.16]

 

 

2007 ~ 2008

 

 

[J-3] U. X. Tan, K. C. Veluvolu, W. T. Latt, C. Y. Shee and W. T. Ang,  Estimating Displacement of Periodic Motion using Accelerometers IEEE Sensors Journal,  Vol. 8, no. 8, pp. 1385-1388, 2008.   [635 kb] [SCIE, IF: 1.48]

 

[J-2] K. C. Veluvolu, Y. C. Soh and W. Cao, Robust Observer with Sliding Mode Estimation for Nonlinear Uncertain Systems IET  Control Theory and Applications,  vol. 1, no. 5, pp. 1533 - 1540, 2007.   [268 kb] [SCI, IF: 1.730]

 

[J-1] K. C. Veluvolu, Y. C. Soh and W. Cao, Robust Discrete-time Nonlinear Sliding Mode State Estimation for a Class of Uncertain Nonlinear Systems, International Journal of Robust and Nonlinear Control, vol. 17, no. 9, pp. 803 - 828, 2007. [345 kb] [SCIE, IF: 1.78]