2024

  • 115
  • W. J. Ahn, G. Y. Yang, H. D. Choi, and M. T. Lim, “Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning”, The IEEE /CVF Computer Vision and Pattern Recognition Conference (CVPR), June 2024. (Accepted)
  • 114
  • Y. J. Lee, D. S. Pae, H. D. Choi, and M. T. Lim, “Extended Dissipative Output-Feedback Controller for Autonomous Vehicle Path Following with Steering Delays”, IEEE Trans. on Intelligent Transportation Systems, (Accepted)

    • 2023

  • 113
  • D. W. Kim, S. W. Hwang, M. T. Lim, Y. H. Oh, and Y. S. Lee, “Neural Network-Based Joint Velocity Estimation Method for Improving Robot Control Performance”, IEEE Access, Vol. 11, pp. 130517-130526, Nov. 2023.
  • 112
  • S. H. Jang, W. J. Ahn, Y. J. Kim, H. G. Hong, D. S. Pae, and M. T. Lim, " Stable and Efficient Reinforcement Learning Method for Avoidance Driving of Unmanned Vehicles", Electronics, Vol. 12, Issue 18, pp. 1-19, Sep. 2023.
  • 111
  • E. Y. Kim, D. S. Pae, and M. T. Lim, "Road Boundary Detection using Multi-Channel LiDAR for Autonomous Driving", Int. J. of Control, Automation, and Systems, Vol. 21, No. 11, pp. 3724-3733, Nov. 2023.
  • 110
  • W. J. Ahn, G. Kang, H. D. Choi, and M. T. Lim, “Domain Adaptation for Complex Shadow Removal with Shadow Transformer Network”, Neurocomputing, Elsevier, Vol. 552, pp. 1-16, Oct. 2023
  • 109
  • E. G. Han, T. K. Kang, and M. T. Lim, " Physiological Signal-based Real-time Emotion Recognition Based on Exploiting Mutual Information with Physiologically Common Features", Electronics, Vol. 12, No. 13, pp. 1-21, July 2023.
  • 108
  • Y. J. Lee, D. S Pae, H. D. Choi, and M. T. Lim, “Sampled-data L2-L_infinity Filter-based Fuzzy Control for Active Suspensions”, IEEE Access, Vol. 11, pp. 21068-21080, March, 2023.
  • 107
  • W. J. Ahn, K. S. Ko, M. T. Lim, D. S. Pae, T. K. Kang, “Multiple Object Tracking Using ReIdentification Model with Attention Module”, Applied Sciences. Vol. 13, 4298, pp. 1-12, March 2023.
  • 106
  • J. H. Chung, S. K. Park, D. S. Pae, H. D. Choi, and M. T. Lim*, “Feature-Selection-based Attentional-Deconvolution Detector for German Traffic Sign Detection”, Electronics, Vol. 12, No. 3, 725, pp.1-23, Feb. 2023.
  • 105
  • W. J. Ahn, D. W. Kim, T. K. Kang, D. S. Pae, and M. T. Lim, “Unsupervised Semantic Segmentation Inpainting Network using Generative Adversarial Network with Preprocessing,” Applied Sciences, Vol. 13, No. 2, 781, pp. 1-18, Jan. 2023.

    • 2022

  • 104
  • S. K. Park, J. H. Chung, D. S. Pae, and M. T. Lim, “Binary Dense SIFT Flow based Position-Information Added Two-Stream CNN for Pedestrian Action Recognition,” Applied Sciences, Vol. 12, No. 20, 10445, pp. 1-15, Oct. 2022.
  • 103
  • J. H. Chung, D. W. Kim, T. K. Kang, and M. T. Lim, “ADM-Net: Attentional-Deconvolution Model-Based Net for Noise-Coupled Traffic Sign Recognition”, Multimedia Tools and Applications, Springer, Vol. 81, No. 16, pp. 23373-23397, July 2022.
  • 102
  • Y. K. Lee, D. S. Pae, D. K. Hong, M. T. Lim, and T. K. Kang, "Emotion Recognition with Short-Period Physiological Signals using Bimodal Sparse Autoencoders", TSP, Intelligent Automation & Soft Computing. Vol. 32, No. 2, pp. 657-673, May 2022.
  • 101
  • W. J. Ahn, T. K. Kang, H. D. Choi, and M. T. Lim, “Remove and Recover: Deep End-to-End Two-stage Attention Network for Single-shot Heavy Rain,” Neurocomputing, Elsevier, Vol. 481, pp. 216-227, April 2022.

    • 2021

  • 100
  • H. J. Kim, K. H. Lee, G. H. Jo, J. S. Kim, M. T. Lim, Y. S. Cha, “Tendon-Inspired Piezoelectric Sensor for Biometric Application”, IEEE ASME Trans. on Mechatronics. Vol. 26, No. 5, pp. 2538-2547, Oct. 2021.
  • 99
  • S. K. Park, J. H. Chung, T. K. Kang, and M. T. Lim, "Binary Dense SIFT Flow Based Two Stream CNN for Human Action Recognition”, Multimedia Tools and Application, Springer, Vol. 80, pp. 33697-35720, June 2021.
  • 98
  • D. S. Pae, G. H. Kim, T. K. Kang*, and M. T. Lim, "Path Planning based on Obstacle Dependence Gaussian Model Predictive Control for Autonomous Driving", Applied Sciences, Vol. 11, No. 8, 3703, pp. 1-31, April 2021.
  • 97
  • D. H. Kim, W. J. Ahn, M. T. Lim, T. K. Kang, and D. W. Kim, “Frequency-Based Haze and Rain Removal Network (FHRR-Net) with Deep Convolutional Encoder-Decoder”, Applied Sciences, Vol. 11. No. 6, 2873, pp. 1-18, March 2021.
  • 96
  • J. H. Song, W. J. Ahn, S. K. Park, and M. T. Lim, "Failure Detection for Semantic Segmentation on Road Scenes using Deep Learning", Applied Sciences. Vol. 11, No. 4, 1870, pp. 1-21, February 2021.
  • 95
  • D. S. Pae, Y. S. Jang, S. K. Park, and M. T. Lim, "Track Compensation Algorithm using Free Space Information with Occupancy Grid Map", Int. J. of Control, Automation, and Systems., Vol. 19, No. 1, pp. 40-53, Jan. 2021.

    • 2020

  • 94
  • H. Chung, H. J. Lim, M. T. Lim, and Y. S. Cha “Object Classification based on Piezoelectric Actuator-Sensor Pair on Robot Hand using Neural Network”, IOP Publishing, Smart Materials and Structure, Vol. 29, No. 10, pp. 1-11, Oct. 2020.
  • 93
  • K. M. Kang, M. S. Jang, B. K. Kim, J. S. Kim, M. T. Lim, and J. S. Kim, “FBG-referenced Interrogating System using Double Ring Erbium Doped Fiber Laser for High Power and Broadband”, Optics Express., Vol. 28, No. 18, pp. 26870-26881, Aug. 2020.
  • 92
  • J. H. Chung, D. W. Kim, T. K. Kang, and M. T. Lim, “Traffic Sign Recognition in Harsh Environment using Attention based Convolutional Pooling Neural Network”, Neural Processing Letters, vol. 51, No. 3, pp. 2551-2573, June 2020.
  • 91
  • M. S. Lee, Y. K. Lee, M. T. Lim, and T. K. Kang, "Emotion Recognition Using Convolutional Neural Networks with Selected Statistical Photoplethysmogram Features", Applied Sciences, Vol. 10, No. 10, pp. 1-15, May 2020.
  • 90
  • D. K. Ryu, C. J. Lee, S. K. Park and M. T. Lim, "Unbiased FIR Filtering with Incomplete Measurement Information", Int. J. of Control, Automation, and Systems, Vol. 18, No. 2, pp. 330-338, Feb. 2020.
  • 89
  • H. J. Kim, M. T. Lim, and Y. S. Cha, “Cross-shaped Piezoelectric Beam for Torsion Sensing”, Smart Materials and Structure, Vol. 29, No. 1, pp. 1-9, Jan. 2020.

    • 2019

  • 88
  • J. Y. Park, D. W. Kim, T. K. Kang and M. T. Lim, “Linked Adaptive Neuro-fuzzy Inference System for Biosignal Distortion Detection System”, Journal of Intelligent and Fuzzy Systems. IOS Press, Vol 37, pp. 7725-7735, Dec. 2019.
  • 87
  • C. J. Lee, S. K. Park, and M. T. Lim, "Multi-Target Tracking and Track Management Algorithm Based on UFIR Filter with Imperfect Detection Probability", Int. J. of Control, Automation, and Systems, Vol. 17, No. 12, pp. 3021-3034, Dec. 2019.
  • 86
  • J. C. Kim, D. S. Pae, and M. T. Lim, “Obstacle Avoidance Path Planning based on Output Constrained Model Predictive Control”, International Journal of Control, Automation and Systems, Vol. 17, No. 11, pp. 2850-2861, Nov. 2019.
  • 85
  • M. S. Lee, Y. K. Lee, D. S. Pae, M. T. Lim,, D. W. Kim, and T. K. Kang, “Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network”, Applied Sciences, MDPI, Vol. 9, Issue 3355, pp. 1-11, 2019.
  • 84
  • C. J. Lee, J. Y. Won, D. S. Pae, and M. T. Lim, “Hybrid Particle/Extended Finite Memory Filter to Improve Target Tracking Accuracy of Radar Measurement in Harsh Environments”, Journal of Electrical Engineering & Technology, Vol. 14, No. 4, pp. 1749-1758, July 2019.
  • 83
  • D. S. Pae, C. G. An, T. K. Kang, and M. T. Lim, “Advanced Digital Stabilization using Similarity-Constrained Optimization”, Multimedia Tools and Applications, Springer, Vol. 78, Issue 12, pp. 16489-16506, June 2019.
  • 82
  • H. Z. Zhang, D. W. Kim, T. K. Kang, and M. T. Lim, “MIFT: A Moment-Based Local Feature Extraction Algorithm”, Applied Sciences, Vol. 9, Issue 7, 1503, pp. 1-14, April 2019.
  • 81
  • Y. H. Lee, D. W. Kim, and M. T. Lim, “A Two-level Recurrent Neural Network Language Model Based on the Continuous Bag-of-Words Model for Sentence Classification”, International Journal on Artificial Intelligence Tools, World Scientific, Vol. 28, No. 1, pp. 1-16, February 2019.

    • 2018

  • 80
  • W. J. Lee, D. W. Kim, T. K. Kang, and M. T. Lim, “Convolutional Neural Network with Selective Multi-stage Features Fusion: Case Study on Vehicle Rear Detection”, Applied Sciences-BASEL, Vol. 8, No. 12, 2468, pp. 1-16, December 2018.
  • 79
  • C. J. Lee, K. E. Kim, and M. T. Lim, “Sensor Fusion for Vehicle Tracking Based on Estimated Probability”, IET – Intelligent Transport Systems, Vol. 12, No. 10, pp. 1386-1395, December 2018.
  • 78
  • S. H. Kim, D. S. Pae, T. K. Kang, D. W. Kim, and M. T. Lim, “Sparse Feature Convolutional Neural Network with Cluster Max Extraction for Fast Object Classification”, J. of Electrical Engineering & Technology, Vol. 13, No. 6, pp. 2468-2478, November 2018.
  • 77
  • O. T. You, D. S. Pae, S. H. Kim, K. E. Kim, T. K. Kang, and M. T. Lim, “Pattern Matching for Industrial Object Recognition Using Geometry-Based Vector Mapping Descriptors”, Pattern Analysis and Applications. Springer, Vol. 21, No. 2, pp. 1167-1183, November 2018.
  • 76
  • H. D. Choi, C. J. Lee, and M. T. Lim, “Fuzzy Preview Control for Half-vehicle Electro-hydraulic Suspension System”, Int. J. of Control, Automation, and Systems, Vol. 16, No. 5, pp. 2489-2500, Oct. 2018.
  • 75
  • J. H. Cho, D. S. Pae, T. K. Kang, and M. T. Lim, “A Real-Time Obstacle Avoidance Method for Autonomous Vehicles using an Obstacle-dependent Gaussian Potential Field”, Journal of Advanced Transportation, Vol. 2018, pp. 1-15, August 2018.
  • 74
  • S. W. Lee, J. M. Kang, S. S. Choi, and M. T. Lim, “Design of PTP TC/Slave over Seamless Redundancy Network for Power Utility Automation”, IEEE Trans. on Instrumentation and Measurement, Vol. 67, No. 7, pp. 1617-1625, July 2018.
    • 73
    • C. J. Lee and M. T. Lim, "Fuzzy H∞ FIR Filtering for T-S Fuzzy Systems with Quantization and Packet Dropout", International Journal of Control, Automation, and Systems, Vol 16, No. 3, pp. 961-971, June 2018.
    • 72
    • D. S. Pae, I. H. Choi, T. K. Kang, and M. T. Lim, "Vehicle Detection Framework for Challenging Lighting Driving Environment Based on Feature Fusion Method Using Adaptive Neuro-Fuzzy Inference System", International Journal of Advanced Robotic Systems, SAGE, Vol. 15, No. 2, pp. 1-11, April 2018.
    • 71
    • H. D. Choi, S. W. Lee, D. S. Pae, S. H. You, and M. T. Lim, “Smart Air Condition Load Forecasting Based on Thermal Dynamic Model and Finite Memory Estimation for Peak-Energy Distribution,” Journal of Electrical Engineering & Technology, Vol. 13, No. 2, pp. 559-567, March 2018.

    2017

    • 70
    • H. D. Choi, C. K. Ahn, H. R. Karimi, and M. T. Lim, “Filtering of Discrete-Time Switched Neural Networks Ensuring Exponential Dissparive and |2-|∞ Performances", IEEE Trans. on Cyvernetics. Vol 47,NO. 10,pp. 3195-3207,Oct 2017.
    • 69
    • J. M. Pak, S. J. Kang, D. S. Pae, and M. T. Lim, “Accurate Pinch Detection Using Recent Finite Measurements for Automotive Anti-Pinch Sunroof Systems,” Int. J. of Control, Automation, and Systems, Vol. 15, No. 5, pp. 2443-2447, Oct., 2017.
    • 68
    • J. M. Pak, C. K. Ahn, P. Shi, Y. Shmaliy, and M. T. Lim, “Distributed Hybrid Particle/FIR Filtering for Mitigating NLOS Effects in TOA-Based Localization Using Wireless Sensor Networks,” IEEE Transactions on Industrial Electronics, Vol. 64, No.6, pp. 5182-5191, June, 2017.
    • 67
    • H. D. Choi, C. K. Ahn, P. Shi, L. Wu, and M. T. Lim, “Dynamic Output-Feedback Dissipative Control for T-S Fuzzy Systems with Time-Varying Input Delay and Output Constrains”, IEEE Trans. on Fuzzy Systems, Vol. 25, No. 3, pp. 511-526, June, 2017.
    • 66
    • J. M. Pak, C. K. Ahn, Y. Shmaliy, P. Shi, and M. T. Lim, “Accurate and Reliable Human Localization Using Composite Particle/FIR Filtering”, IEEE Trans. on Human-Machine Systems, Vol. 47, No. 3, pp.332-342, June, 2017.
    • 65
    • J. H. Chung, J. M. Pak, C. K. Ahn, S. H. Yoo, M. T. Lim, and M. K. Song, “Particle Filtering Approach to Membership Function Adjustment in Fuzzy Logic Systems,” Neurocomputing, Elsevier, Vol. 237, pp. 166-174, 10 May, 2017.
    • 64
    • J. H. Chung, S. H. You, J. M. Pak, J. H. Kim, M. T. Lim, and M. K Song, “A Novel Particle Filter-Based Digital Phase-Locked Loop Robust against Quantization Error,” Int. J. of Control, Automation, and Systems, Vol. 15, No. 1, pp. 457-461, February, 2017.
    • 63
    • T. K. Kang, Y. H. Mo, D. S. Pae, C. K. Ahn, and M. T. Lim, “Robust Visual Tracking Framework in the Presence of Blurring by Arbitrating Appearance and Feature-based Detection,” Measurement, Vol. 95, pp. 50-69, January, 2017.

    2016

    • 62
    • H.-Z. Zhang, Y. F. Lu, T. K. Kang, and M. T. Lim, “B-HMAX: A Fast Binary Biologically Inspired Model for Object Recognition”, Neurocomputing, 2016.
    • 61
    • J. M. Pak, C. K. Ahn, Y. H. Mo, M. T. Lim, and M. K. Song, “Maximum Likelihood FIR Tracker for Visual Object Tracking”,Neurocomputing,2016.
    • 60
    • S. H. Yoo, J. M. Pak, C. K. Ahn, P. Shi, and M. T. Lim, “Unbiased Finite-Memory Digital Phase-Locked Loop,” IEEE Transactions on Circuits and Systems II: Express Briefs, Vol 63, No. 8, pp. 798-802, August 2016.
    • 59
    • Y. F. Lu, H. Z. Zhang, T. K. Kang, and M. T. Lim, “Dominant Orientation Patch Matching for HMAX”, Neurocomputing, Vol. 193, pp. 155-166, June 2016.
    • 58
    • J. M. Pak, C. K. Ahn, Y. S. Shmaliy, P. Shi, and M. T. Lim, “Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation with Application,” IEEE Transactions on Control Systems Technology, Vol. 24, No. 3, pp. 1052-1058, May 2016.
    • 57
    • H. D. Choi, C. K. Ahn, M. T. Lim, and M. K. Song, “Dynamic Output-Feedback H∞ Control for Active Half-Vehicle Suspension System with Time-Varying Input Delay”, International Journal of Control, Automation, and Systems, Vol. 14, No. 1, pp. 59-68, February 2016.
    • 56
    • J. M. Pak, C. J. Lee, C. K. Ahn, P. Shi, M. T. Lim, and M. K. Song, “Fuzzy Horizon Group Shift FIR Filtering for Nonlinear Systems with Takagi-Sugeno Model”, Neurocomputing, Vol. 174, pp. 1013–1020, January 2016.
    • 55
    • J. M. Pak, C. K. Ahn, P. Shi, and M. T. Lim, “Self-Recovering Extended Kalman Filtering Algorithm Based on Model-Based Diagnosis and Resetting Using an Assisting FIR Filter”, Neurocomputing, Vol. 173, pp. 645–658, January 2016.

    2015

    • 54
    • I. H. Choi, J. M. Pak, C. K. Ahn, S. H. Lee, M. T. Lim, and M. K. Song, “Arbitration Algorithm of FIR Filter and Optical Flow Based on ANFIS for Visual Object Tracking”, Measurement, Vol. 75, pp. 338-363, November 2015.
    • 53
    • C. J. Lee, J. M. Pak, C. K. Ahn, K. M. Min, P. Shi, and M. T. Lim, “Multi-Target FIR Tracking Algorithm for Markov Jump Systems Based on True-Target Decision-Making”, Neurocomputing, Vol. 168, No. 30, pp. 298-307, November 2015.
    • 52
    • J. M. Pak, C. K. Ahn, Y. Shmaliy and M. T. Lim, “Improving Reliability of Particle Filter-Based Localization in Wireless Sensor Networks via Hybrid Particle/FIR Filtering”, IEEE Trans. on Industrial Informatics, Vol. 11, No. 5, pp. 1089-1098, October 2015.
    • 51
    • Y. F. Lu, T. K. Kang, H. Z. Zhang, and M. T. Lim, “Enhanced Hierarchical Model of Object Recognition Based on a Novel Patch Selection Method in Salient Regions”, IET Computer Vision, Vol. 9, Issue 5, pp. 663-672, October 2015.
    • 50
    • I. H. Choi, J. M. Pak, C. K. Ahn, Y. H. Mo, M. T. Lim, and M. K. Song, “New Preceding Vehicle Tracking Algorithm Based on Optimal Unbiased Filters Using Finite Measurements”, Measurement, Vol. 73, pp. 262-274, September 2015.
    • 49
    • H. D. Choi, J. M. Pak, M. T. Lim, and M. K. Song, “A Gaussian Distributed Resampling Algorithm for Mitigation of Sample Impoverishment in Particle Filters”, Interantional Journal of Control, Automation, and Systems, Vol. 13, No. 4, pp. 1032-1036, August, 2015.
    • 48
    • H. D. Choi, S. W. Rhee, C. K. Ahn, and M. T. Lim. "AC Scheduling Based on Thermodynamics of Indoor for On-Campus Small Data" Journal of Power and Energy Engineering, Vol. 3, No. 4, pp. 282-288, April 2015.
    • 47
    • H. D. Choi, C. K. Ahn, P. Shi, M. T. Lim, and M. K. Song, “L_2-L_infinity Filtering for Takagi-Sugeno Fuzzy Neural Networks Based on Wirtinger-Type Inequalities” Neurocomputing, Vol. 153, pp. 117-125, April 2015.
    • 46
    • T. K. Kang, I. H. Choi, and M. T. Lim, “MDGHM-SURF: A Robust Local Image Descriptor Based on Modified Gaussian-Hermite Moment,” Pattern Recognition, Vol. 48, Issue 3, pp.670-684, March 2015.
    • 45
    • J. M. Pak, S. Y. Yoo, M. T. Lim, and M. K. Song, "Weighted Average Extended FIR Filter Bank to Manage the Horizon Size in Nonlinear FIR Filtering," International Journal of Control, Automation, and Systems, Vol.13, No. 1, pp. 138-145, Feb. 2015.

    2014

    • 44
    • J. M. Pak, C. K. Ahn, and M. T. Lim, M. K. Song, “Horizon Group Shift FIR Filter: Alternative Nonlinear Filter Using Finite Recent Measurements,” Measurement, Vol. 57, pp. 33-45, Nov. 2014.
    • 43
    • Y. F. Lu, H. Z. Zhang, T. K. Kang, I. H. Choi, and M. T. Lim, “Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment,” Neurocomputing, Vol. 139, No. 2, pp. 189-201, Sept. 2014.
    • 42
    • Y. H. Mo, T. K. Kang, H. Z. Zhang, D. H. Hong, and M. T. Lim, “Development of 3D Camera-Based Robust Bolt-Hole Detection System for Bolting Cabin,” Automation in Construction Vol. 44, pp. 1-11, Aug. 2014.

    2013

    • 41
    • C. K. Ahn and M. T. Lim, "Model Predictive Stabilizer for T-S Fuzzy Recurrent Multilayer Neural Network Models with General Terminal Weighting Matrix," Neural Computing and Applications, Vol. 23, Issue 1 Supplement, pp. 271-277, Dec., 2013.
    • 40
    • T. G. Kang, I. W. Choi, G. T. Park and M. T. Lim, "Local Environment Recognition System Using Modified SURF-Based 3D Panoramic Environment Map for Obstacle Avoidance of a Humanoid Robot," Int. J. of Advanced Robotic Systems, Vol. 10, No. 275, pp. 1-13, 2013.
    • 39
    • H. D. Choi, C. K. Ahn, and M. T. Lim, “Time-domain Filtering for Estimation of Linear System with Colored Noises using Recent Finite Measurements,” Measurement, Elsevier, Vol. 46, Issues 8, pp. 2792-2797, Oct. 2013.
    • 38
    • T. G. Kang, M. T. Lim, G. T. Park and D. W. Kim, “3D Vision-based Local Planning System of a Humanoid Robot for Obstacle Avoidance," J. of Electrical Engineering & Technology, Vol. 8, No. 4, pp. 897-888, 2013.
    • 37
    • B. S. Chu, K. M. Jung, M. T. Lim, and D. H. Hong, “Robot-based Construction Automation: An Application to Steel Beam Assembly (Part I),” Automation in Construction Vol. 32, pp. 46-61, Jul. 2013.

    2012

    • 36
    • Y. H. Mo, Y. G. Choe, B. W. Woo, J. M. Park, and M. T. Lim, "Bolting Cabin Assistance System Using a Sensor Network," Int. J. of Advanced Robotic Systems, Vol. 10, No. 107, pp. 1-9, Oct. 2012.

    2010

    • 35
    • S. H. Park, Y. J. Kim and M. T. Lim, "Novel Adaptive Particle Filter Using Adjusted Variance and Its Application," International Journal of Control, Automation, and Systems, Vol. 8, No. 4, pp. 801-807, Aug. 2010.

    2008

    • 34
    • B. S. Kim, I. J. Shim, M. T. Lim, and Y. J. Kim, “Combined Preorder and Postorder Traversal Algorithm for the Analysis of Singular Systems by Haar Wavelets,” Mathematical Problems in Engineering Vol. 2008, pp. 1-16, Nov. 2008.
    • 33
    • Y. J. Kim and M. T. Lim, "Parallel Optimal Control for Weakly Coupled Nonlinear Systems Using Successive Galerkin Approximation," IEEE Trans. on Automatic Control, Vol. 53, No. 6, Jul. 2008.

    2007

    • 32
    • Y. J. Kim and M. T. Lim, "H-infinity Control for a Class of Singularly Perturbed Nonlinear Systems via Successive Galerkin Approximation," International Journal of Control, Automation, and Systems, Vol. 5, No. 5, Oct. 2007.
    • 31
    • Y. J. Kim and M. T. Lim, "Parallel optimal control for weakly coupled bilinear systems using successive Galerkin approximation," IET Contorl Theory Appl., 2007, 1, (4), pp. 909-914, 2007.

    2006

    • 30
    • Y. J. Kim, J. O. Lee, and M. T. Lim, "Evaluation of the Distributed Fuzzy Contention Control for IEEE 802.11 Wireless LANs," KES 2006, Part III, LNAI 4253, pp. 225-232, 2006.
    • 29
    • S. Y. Lee, S. C. Ahn, H. G. Kim, and M. T. Lim, "Real-time 3D video avatar in mixed reality: An implementation for immersive telecommunication," Simulation & Gaming, Vol. 37, No. 4, pp. 491-506, 2006.
    • 28
    • Y. J. Kim and M. T. Lim, "Parallel Robust H??Control for Weakly Coupled Bilinear Systems with Parameter Uncertainties Using Successive Galerkin Approximation," International Journal of Control, Automation, and Systems, Vol. 4, No. 6, pp. 689-696, Dec. 2006.

    2005

    • 27
    • S. Y. Lee, I. J. Kim, S. C. Ahn, and M. T. Lim, and H. G. Kim, "Intelligent 3D Video Avatar for Immersive Telecommunication," AI 2005, LNAI 3809, pp. 726-735, Nov. 2005.
    • 26
    • B. S. Kim, Y. J. Kim and M. T. Lim, "Robust H-infinity state feedback control methods for bilinear systems," IEE Proc.-Control Theory Appl., Vol. 152, No. 5, pp. 553-559, Sep. 2005.
    • 25
    • Y. J. Kim, B. S. Kim and M. T. Lim, "Finite-time composite control for a class of singularly perturbed nonlinear systems via succesive Galerkin approximation," IET journal, IEE Proc.-Control Theory Appl., Vol. 152, No. 5, pp. 507-512, Sep. 2005.
    • 24
    • Y. J. Kim and M. T. Lim, "Near-Optimal Fuzzy Systems Using Polar Clustering: Application to Control of Vision-Based Arm-Robot," KES 2005, Vol. LNAI 3684, pp. 518-524, 2005.
    • 23
    • M. W. Seo, Y. J. Kim, and M. T. Lim, "Door Traversing for a Vision-Based Mobile Robot Using PCA," KES 2005, Vol. LNAI 3684, pp. 525-531, 2005.
    • 22
    • Y. J. Kim and M. T. Lim , "Run-Time Fuzzy Optimization of IEEE 802.11 Wireless LANs Performance," ICNC 2005, Vol. LNCS 3612, pp. 1079-1088, Jul. 2005.

    2004

    • 21
    • B. S. Kim, Y. J. Kim and M. T. Lim, "LQG Control for Nonstandard Singularly Perturbed Discrete Time System," ASME J. of Dynamic Systems, Measurement and Control, Vol. 126, No. 4, pp. 860-864, Dec. 2004.
    • 20
    • W. S. Choi, M. T. Lim, and B. W. Kim, "Prediction of Etch Profile Uniformity Using Wavelet and Neural Network," International Journal of Control, Automation, and Systems Vol. 2, No. 2, pp. 256-262, Jun. 2004.

    2003

    • 19
    • H. S. Lee, B. W. Kim, S. R. Choi, W. S. Hong, K. K. Lee, W. S. Choi and M. T. Lim, "Qualitative Interpretation of Etch Profile Nonuniformity Using a Wavelet and a Neural Network," Journal of the Korean Physical Society, Vol. 43, No. 5, pp. 817-821, Nov. 2003.
    • 18
    • B. W. Kim, S. M. Kim, and M. T. Lim, "Wavelet-Based Uniformity of Plasma Etching Surface," IEEE Trans. on Plasma Science, Vol. 31, no 6, Dec. 2003.
    • 17
    • B. W. Kim, W. S. Choi, and M. T. Lim, "Wavelet monitoring of plasma etching," J. Vac. Sci. Technol. B, Vol. 21, issue.6, pp. 2329-2333, Nov.-Dec. 2003.
    • 16
    • B. S. Kim and M. T. Lim, "Robust H-infinity Control Method for Bilinear Systems," International Journal of Control, Automation, and Systems, Vol. 1, No. 2, pp. 247-258, Jun. 2003.
    • 15
    • C. K. Ahn, B. S. Kim, and M. T. Lim, "An Estimation Approach to Robust Adaptive Control for Uncertain Nonlinear Systems with Dynamic Uncertainties," International Journal of Control, Automation, and Systems Vol. 1, No. 1, Mar. 2003.
    • 14
    • Y. J. Kim, B. S. Kim and M. T. Lim, "Composite Control for Singularly Perturbed Bilinear Systems via Successive Galerkin Approximation," IEE Proceedings - Control Theory and Applications, Vol. 150, No. 5, pp. 483-488, Sep. 2003.
    • 13
    • Y. J. Kim, B. S. Kim and M. T. Lim, "Composite Control for Singularly Perturbed Nonlinear Systems via Successive GALERKIN Approximation," Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, Vol. 10, No. 2, pp. 247-258, Feb. 2003.

    2002

    • 12
    • J. W. Chang, Y. J. Kim, B. S. Kim and M. T. Lim, "Design of Controller Using Successive Approximation for Weakly Coupled Bilinear System," KIEE International Transaction on SC, Vol. 12D, No. 1, pp. 33-38, 2002.
    • 11
    • M. T. Lim, C. G. Kang and B. S. Kim, " Optimal Control of Linear Nonstandard Singularly Perturbed Discrete Systems," Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, Vol. 9, No. 2, pp. 163-174, Apr. 2002.
    • 10
    • B. S. Kim and M. T. Lim, "Near-Optimal Control for Singularly Perturbed Bilinear Systems using the Method of Successive Approximations," Dynamics of Continuous, Discrete and Impulsive Systems, 2002, Vol. 9, No. 2, pp. 153-162, Apr. 2002.
    • 9
    • Y. H. Kwon, B. S. Kim, S. Y. Lee and M. T. Lim, "Composite Control for Invented Pendulum System," ICASE: The Insititute of Control, Automation and Systems Engineers, KOREA Vol. 4, no 1, Mar. 2002.

    2000

    • 8
    • C. G. Kang, M. T. Lim, and K. S. Jeong, "Frequency Reuse Efficiency under Reverse-Link Closed-Loop Power Control with Unequal Cell Loading in a CDMA Cellular System," IEICE Trans. Commun. Vol. E83-B, No. 6, Jun. 2000.
    • 7
    • M. T. Lim and Z. Gajic, "Reduced-Order H-infinity Optimal Filtering for Systems with Slow and Fast Modes," IEEE Trans. on Circuits and Systems I: Fundamental Theory and Applications, Vol. 47, No. 2, Feb. 2000.2

    ~1999

    • 6
    • M. T. Lim and Z. Gajic , "Subsystem-Level Optimal Control of Weakly Coupled Linear Stochastic Systems Composed of N Subsystems," Optimal Control Applications and Methods, Vol. 20, pp. 93-112, 1999.
    • 5
    • Z. Gajic, X. SHEN and M. T. Lim, "High Accuracy Techniques for Singularly Perturbed Control Systems an Overview," PINSA, 65, A, No. 2, pp. 117-127, Mar. 1999.
    • 4
    • M. T. Lim and N.N. Puri, "An Efficient Algorithm for Optimal Model Reduction," Internationaal Journal of Modelling and Simulation, Vol. 19, No. 4, pp. 374-383, 1999.
    • 3
    • N. N. Puri and M. T. Lim, "Stable Optimal Model Reduction of Linear Discrete-Time Systems," Trans. of the ASME, Vol. 119, issue 2, pp. 300-304, Jun. 1997.
    • 2
    • Z. Gajic, M. T. Lim and X. Shen, "The Study of Discrete Singularly Perturbed Linear-Quadratic Control Systems," Control and Dynamic Systems, Academic Press, Vol. 70, pp. 199-241, 1995.
    • 1
    • Z. Gajic and M. T. Lim, "A New Filtering Method for Linear Singularly Perturbed Systems," IEEE Trans. on Automatic Control, Vol. 39, No. 9, pp. 1952-1955, Sep. 1994.