D. W. Kim, "Fuzzy Model-Based Control of a Quadrotor," Fuzzy Sets and Systems , vol. 371, pp.136-147, Sep., 2019.

D. W. Kim, "Design of H_infty Guaranteed Cost Controller of a Quadrotor Based on a T-S Fuzzy Model," vol. 68, no. 11, pp. 1396~1402, Nov. 2019.

G. H. Lee and D. W. Kim, "Tracking Controller for Underwater Gliders Based on T-S Fuzzy Models," The Transactions of the Korean Institute of Electrical Engineers,  vol. 67, no. 2, pp. 261-269,  Feb. , 2018.

D. W. Kim, "Further refinement on controller design for linear systems with input saturation,'' Automatica, vol. 77, pp. 14-17, Mar., 2017.

Y. M. Choi and D. W. Kim,"A T-S fuzzy model approach to guaranteed cost control of quadrotor,"  Journal of Institute of Control, Robotics and Systems, vol. 23, no. 7, pp.559-565, Jul., 2017.

D. W. Kim, M. H. Kim, H. G. Park, and T. Y. Kim, "Depth and speed Controls of large diameter unmanned underwater vehicles ," The Transactions of the Korean Institute of Electrical Engineers, vol. 66, no. 3, pp. 563-567,  Mar., 2017.

D. W. Kim, J. H. Park, H. G. Park, and T. Y. Kim, "Robust waypoint tracking of large diameter unmanned underwater vehicles with uncertain hydrodynamic coefficients," The Transactions of the Korean Institute of Electrical Engineers,  vol. 66, no. 2, pp. 409-415,  Feb., 2017.

D. W. Kim, M. H. Kim, H. G. Park, and T. Y. Kim, "Waypoint tracking of large diameter unmanned underwater vehicles with X-stern configuration," The Transactions of the Korean Institute of Electrical Engineers,  vol. 66, no. 2, pp. 387-393,  Feb. , 2017.

S. C. Jee, H. J. Lee, and D. W. Kim, "Detecting sensor fault for nonlinear systems in T-S form under sampled-data measurement: exact direct discrete-time design approach,'' International Journal of Control, Automation, and Systems, vol. 14. no. 1,  pp 452–460, Apr., 2016.

H. J. Lee and D. W. Kim, “Performance-recoverable intelligent digital redesign for fuzzy output-tracking controllers,” Information Sciences, vol. 326, pp. 350-367, Jan. 2016.

D. W. Kim, and H. J. Lee, “Direct discrete-time design approach to robust H_infty sampled-data observer-based output-feedback fuzzy control,”  International Journal of Systems Science, vol 47, no. 1, pp. 77-91, Jan., 2016.

G. H. Lee and D. W. Kim, "Design of Buoyancy and Moment Controllers of a Underwater Glider Based on a T-S Fuzzy Model ," The Transactions of the Korean Institute of Electrical Engineers, vol. 65, no. 12, pp. 2037-2045, 2016.

D. W. Kim, "Tracking of REMUS autonomous underwater vehicles with actuator saturations,''  Automatica, vol. 58, pp. 15-21, Aug., 2015.

D. H. Lee and D. W. Kim, “Relaxed LMI conditions for local stability and local stabilization of continuous-time Takagi-Sugeno fuzzy systems,” IEEE Trans.Cybernetics, vol. 44, no. 3, pp. 394-405,  Mar., 2014.

S. C. Jee, H. J. Lee, and D. W. Kim,“H_/H_infty sensor fault detection and isolation of uncertain time-delay systems,” Journal of Electrical Engineering & Technology,  vol. 9, no. 1, pp. 313-323, Jan., 2014.

D. W. Kim, ``H_infty sampled-data control of Takagi-Sugeno fuzzy system,'' Journal of Institute of Control, Robotics and Systems, vol. 20, no. 11, pp.1142-1146, 2014.

D. W. Kim and H. J. Lee, “Improved digital redesign: integral approach,” IET Electronic Letters, vol. 29, no. 13,  pp.787-789,  Jun., 2013.

J. H. Moon, H. J. Lee, and D. W. Kim, “Controller design of Takagi–Sugeno fuzzy model-based multi-agent systems for state consensus,” Journal of Korean Institute of Intelligent Systems, vol. 23, no. 2, Apr., 2013.

S. C. Jee, H. J. Lee and D. W. Kim, “Sampled-data fault detection observer design of Takagi–Sugeno fuzzy systems,” Journal of Korean Institute of Intelligent Systems, vol. 23, no. 1, pp. 65-71, Feb., 2013. 

D. W. Kim, H. J. Lee, M. H. Kim, S. Y. Lee, and T. Y. Kim “Robust sampled-data fuzzy control of nonlinear systems with parametric uncertainties: Its application to depth control of autonomous underwater vehicles,” International Journal of Control, Automation, and Systems, vol. 10, no. 6, pp. 1164–1172, 2012.

D. W. Kim and H. J. Lee, “Sampled-data observer-based output-feedback fuzzy stabilization of nonlinear systems: Exact discrete-time design approach,” Fuzzy Sets & Systems, vol. 201, pp. 20–39, Aug., 2012.

H. J. Lee and D.W. Kim, “Decentralized load-frequency control of large-scale nonlinear power systems: fuzzy overlapping approach,” Journal of Electrical Engineering & Technology, vol. 7, no. 3, pp. 436–442, May., 2012. 

J. H. Moon, H. J. Lee, andD. W. Kim, “Intelligent digital redesign of observer-based output-feedback fuzzy controller using delta operator,” Journal of Korean Institute of Intelligent Systems지, vol. 22, no. 6, pp. 700-705, Dec., 2012.

S. W. Jun, D. W. Kim, and H. J. Lee, “Design of T-S fuzzy model based H_infty controller for diving control of AUV: an LMI approach ,” Journal of Korean Institute of Intelligent Systems, vol. 22, no. 4, pp. 441-447, Aug., 2012.

H .J. Lee and D. W. Kim, “Decetralized control of multiple satellites formation flying based on the overlapping decomposition technique,” The Transactions of the Korean Institute of Electrical Engineers, vol. 61, no. 7, pp. 1014-1018, Jul., 2012.

S. C. Jee, H. J. Lee and D. W. Kim, “Observer-based fault tolerant controller design for multi-UAV systems,” Journal of Institute of Control, Robotics and Systems, vol. 15, no. 5, pp. 407-412, May, 2012.

H .J. Lee and D. W. Kim, “Effective decentralized sampled-data control for nonlinear systems in T–S’ form: overlapping IDR approach,” Journal of Korean Institute of Intelligent Systems, vol. 22, no. 1, pp. 94-99, Feb., 2012. 

H. J. Lee, L. S. Shieh, H. Malki, and D.W. Kim, “Pulse-width-modulated feedback control of nonlinear systems: Optimal linearization-based digital redesign approach,” International Journal of General Systems, vol. 40, no. 3, pp. 283–300, Apr., 2011.

S. C. Jee, H. J. Lee, and D. W. Kim,“Observer-based fault tolerant controller design for T–S fuzzy systems,” Journal of Institute of Control, Robotics and Systems, vol. 17, no.11, pp. 1154-1158, Nov., 2011.

D. W. Kim, H. J. Lee, and J. Sur, “T–S fuzzy-model-based waypoints tracking control of UUV,”.  Journal of Institute of Control, Robotics and Systems,  vol. 17, no. 6, pp. 526-530, Jun., 2011.

S. W. Jun, D. W. Kim, and H. J. Lee, “Design of T-S fuzzy-model-based controller for depth control of autonomous underwater vehicles,” Journal of Korean Institute of Intelligent Systems,  vol. 21, no. 3, pp. 302-306, Apr., 2011.

J. Sur, D. W. Kim, and H. J. Lee, “Technology trends on autonomous underwater vehicle," Institute of Control, Robotics and Systems, vol. 17, no. 2, pp.36-46, 2011.

H. S. Song, H. J. Lee, and D. W. Kim, “Improving a digital redesign for time-varying trackers,” Journal of Institute of Control, Robotics and Systems, vol. 17, no. 4, pp. 289-294, Apr., 2011.

D. W. Kim, J. B. Park, and Y. H. Joo, “Asymptotic stability of digitally redesigned control systems,” International Journal of Control, vol. 83, no. 12, pp. 2463–2470, Dec., 2010

D. W. Kim, and H. J. Lee, “Controlling linear systems with nonlinear perturbations under sampled-data output feedback: digital redesign approach,” International Journal of Control, pp. 1718–1726, vol. 83, no. 8, 2010.

D. W. Kim, H. J. Lee, and M. Tomizuka, “Fuzzy stabilization of nonlinear systems under sampled-data feedback: an exact discrete-time model approach,” IEEE Trans. Fuzzy Systems, pp. 251-260, vol. 18, no. 2, 2010.

H. C. Sung, D. W. Kim  J. B. Park, and Y. H. Joo, “Robust digital control of fuzzy systems with parametric uncertainties: LMI-based digital redesign approach,” Fuzzy Sets & Systems, pp. 919-933, vol. 161, no. 6, 2010.

S. C. Jee, H. J. Lee, Y. H. Joo, and D. W. Kim, “Observer design for H fault detection for large scale T-S fuzzy systems,” Journal of Korean Institute of Intelligent Systems, vol. 20, no. 1, pp. 15-20, Feb., 2010.

D. W. Kim, and H. J. Lee, “Comments on “T–S Fuzzy-Model-Based Robust H_infty Design for Networked Control SystemsWith Uncertainties”,” IEEE Trans. Industrial Informatics, pp. 507–507, vol. 5, no. 4, 2009.

H. J. Lee and D. W. Kim  “Robust stabilization of T–S fuzzy systems: fuzzy static output feedback under parametric uncertainty,” International Journal of Control, Automation, and Systems, vol. 7, no. 5, pp.731–736, 2009.

H. J. Lee and D.W. Kim, “Fuzzy static output-feedback may be possible in LMI framework,” IEEE Trans. Fuzzy Systems, vol. 17, no. 5, pp. 1229–1230, 2009.

D. W. Kim, J. B. Park, and Y. H. Joo, “Robust stabilisation of sampled-data Control systems with nonlinear perturbations via digital redesign,” IET Control Theory & Applications, vol. 3, no. 8, pp. 1070–1080, 2009.

D. W. Kim and H. J. Lee, “Stability connection between sampled-data fuzzy control systems with quantization and their approximate discrete-time model,” Automatica, vol. 45, no. 6, pp. 1518–1523, 2009.

H. J. Lee and D. W. Kim, “H Fault Detection Observer Design for Large Scale Time-Invariant Systems,” Journal of Institute of Control, Robotics and Systems, vol. 15, no. 8, pp. 818-822, 2009. 

H. J. Lee and D. W. Kim, “Sampled-Data control of formation flying using optimal linearization,”  Journal of Institute of Control, Robotics and Systems, vol. 15, no. 1, pp. 61-66, 2009. 

D. W. Kim, J. B. Park, and Y. H. Joo, “Theoretical justification of approximate norm minimizationmethod for intelligent digital redesign,” Automatica, vol. 44, no. 3, pp. 851–856, 2008.

H. J. Lee and D. W. Kim, “Intelligent digital redesign revisited: Approximate discretization and stability limitation,” Fuzzy Sets & Systems, vol. 159, no. 2, pp. 3221–3231, 2008.

H. J. Lee, L. S. Shieh, and D. W. Kim, “Digital control of nonlinear systems: optimal linearization-based digital redesign approach,” IET Control Theory & Applications, vol. 2, no. 4, pp. 337–351, 2008.

D. W. Kim, J. B. Park, and Y. H. Joo, “Effective digital implementation of fuzzy control systems based on approximate discrete-time models,” Automatica, vol. 43, no. 10, pp. 1671–1683, 2007.

Y. H. Joo, D. W. Kim, and J. B. Park, “Intelligent Digital Control of Heating, Ventilating, and Air Conditioning System for Smart Space,” Journal of Institute of Control, Robotics and Systems, vol. 13, no. 4, pp. 365–370, 2007.

D. W. Kim, J. B. Park, H. J. Lee, and Y. H. Joo, “Discretisation of continuoustime T-S fuzzy system: global approach,” IEE Proc. Control Theory & Applications, vol. 153, no. 2, pp. 237–246, 2006.

D. W. Kim, J. B. Park, Y. H. Joo, and S. H. Kim, “Multirate digital control for fuzzy systems: LMI-based design and stability analysis,” International Journal of Control, Automation, and Systems, vol. 4, no. 4, pp. 506–515, 2006.

D. W. Kim, H. J. Lee, J. B. Park, and Y. H. Joo,“GA-based construction of fuzzy classifiers using information granules,” International Journal of Control, Automation, and Systems, vol. 4, no. 2, pp.187–196, 2006.

D. W. Kim, J. B. Park, and Y. H. Joo, “Stabilization of multirate sampled-data fuzzy systems based on an approximate discrete-time model,” Lecture Notes in Artificial Intelligence, vol. 4223, pp. 49–58, 2006.

D. W. Kim, Y. H. Joo, and J. B. Park, “Intelligent Digital Redesign of Biodynamic Model of HIV-1,”  Journal of Institute of Control, Robotics and Systems,, vol. 12, no. 6, pp. 547–553, 2006.

D. W. Kim, Y. H. Joo, and J. B. Park, “LMI-based intelligent digital redesign for multirate sampled-data fuzzy systems,” Journal of Korean Institute of Intelligent Systems, vol. 16, no. 1, pp. 113–118, 2006.

D. W. Kim, J. B. Park, and Y. H. Joo, “Evolutionary design of fuzzy classifiers using information granules,” Lecture Notes in Artificial Intelligence, vol. 3809, pp. 380–388, 2005.

D. W. Kim, J. B. Park, and Y. H. Joo, “Fuzzy classifier with Bayes rule consequent,” Lecture Notes in Artificial Intelligence, vol. 3809, pp. 1130–1133, 2005.

D. W. Kim, J. B. Park, and Y. H. Joo, “Design of fuzzy rule-based classifier: pruning and learning,” Lecture Notes in Artificial Intelligence, vol. 3613, pp. 416–425, 2005.

D. W. Kim, J. B. Park, and Y. H. Joo, “Intelligent digital control for nonlinear systems with multirate sampling,” Lecture Notes in Artificial Intelligence, vol. 3613, pp. 886–889, 2005.

D. W. Kim, Y. H. Joo, and J. B. Park, “Improved digital redesign for fuzzy systems: compensated bilinear transform approach,” Journal of Korean Institute of Intelligent Systems, vol. 15, no. 6, pp. 765–770, 2005.

D. W. Kim, Y. H. Joo, and J. B. Park, “Linear digital decentralized control system for smart space,” Journal of Korean Institute of Intelligent Systems, vol. 15, no. 1, pp. 36–41, 2005.

D. W. Kim, J. B. Park, and Y. H. Joo, “Digital control for Takagi-Sugeno fuzzy system with multirate sampling,” International Journal of Fuzzy Logic and Intelligent Systems, vol. 4, no. 2, pp. 199–204, 2004.

Y. H. Joo, K. H. Jung, D. W. Kim, and J. B. Park, “A study of short-term load forecasting system using data mining,” Journal of Korean Institute of Intelligent Systems, vol. 14, no. 2, pp. 130–135, 2004.

D. W. Kim, Y. H. Joo, and J. B. Park, “A construction of fuzzy model for data mining,” Journal of Korean Institute of Intelligent Systems, vol. 13, no. 2, pp. 209–215, 2003.

D. W. Kim, Y. H. Joo, and J. B. Park, “Fuzzy system modeling using new hierarchical structure,” Journal of Korean Institute of Intelligent Systems, vol. 12, no. 5, pp. 405–410, 2002.

1. D. W. Kim, M. H. Lee, and D. H. Lee, "Path following control of unmanned surface vessel: linear control approach,"  대한전기학회 CICS´ 23 정보 및 제어 학술대회, pp. 308-309, 2023.

2. D. W. Kim and D. H. Lee, "Slack variable-based relaxed conditions for parameterized linear matrix inequality in the form of double convex sums," 대한전기학회 CICS´ 23 정보 및 제어 학술대회, pp. 307-307, 2023.

3. D. W. Kim and D. H. Lee, "Fuzzy modeling and control of a nonlinear class of unmanned underwater vehicles," 한국정밀공학회 2022년도 춘계학술대회 논문집, pp.271-271, 2022.

4. D. W. Kim and D. H. Lee, "Relaxed sufficient conditions for parameterized linear matrix inequality in the form of triple convex sum," 한국태양에너지학회 학술대회논문집, pp. 318-318, 2022.

5. D. Lee and  D. W. Kim, "Formulations for data-driven control design and reinforcement learning," IEEE 17th International Conference on Control & Automation (ICCA), 207-212, 2022

6. D. W. Kim, "H_infty fuzzy control of a quadrotor," CICS Conference, 2020.

7. D. W. Kim, "H_infty control design for a class of nonlinear autonomous unmanned vehicles," CICS Conference, 2020.

8. G. H. Lee and D. W. Kim, "Design of tracking controller for underwater glider : linear matrix inequality," CICS Conference, 2017.

9. G. H. Lee and D. W. Kim, "Design of observer-based fuzzy controller of buoyancy and moment for underwater glider," KIEE Conference, 2017.

10. D. W. Kim, “T-S Fuzzy-Model-Based Control of Quadrotor,” ICCIS2016, 2016.

11. G. H. Lee and D. W. Kim, "Design of Fuzzy Controller of Underwater Glider : A Sum of Squares Approach," KIEE Conference, 2016.

12. G. H. Lee and D. W. Kim, "Design of robust fuzzy controller buoyancy and moment for underwater gliders," KIIS Annual Conference, 2016.

13. Y. M. Choi and D. W. Kim, “Guaranteed cost control of quadrotor based on T-S fuzzy model,” ' KIIS Annual Conference, 2016.

14. G. H. Lee and D. W. Kim, "Design of T-S fuzzy-model-based controller for underwater glider,'' ICROS Annual Conference, 2016.

15. Y. M. Choi and D. W. Kim, “A T-S fuzzy model approach to position and attitude control of quadrotor using sector nonlinearity,” ICROS Annual Conference, 2016.

16. H. J. Lee and D. W. Kim, “Design of T-S fuzzy-model-based controller for quadrotor: piecewise linearization approach,'' ICROS Annual Conference, 2016.

17. D. W. Kim, “Controller design of continuous-time linear systems with saturated inputs,” EECS2015, 2015.

18. D. W. Kim, "Robust sampled-data stabilization of Takagi-Sugeno fuzzy systems under observer-based output feedback," ICROS Annual Conference, 2015.

19. D. W. Kim, “Fuzzy tracking control of underactuated ship ,” SCIS & ISIS 2014, 2014.

20. D. W. Kim, “Diving Fuzzy Control of AUVs,” ICFICE2014, 2014.

21. J. S. Lee, J. G. Kim, Y. H. Joo, and D. W. Kim, "Moving object identification algorithm using optical flow algorithm,'' ICS' 14, 2014.

22. S. K. Kim, M. H. Tak, Y. H. Joo, and D. W. Kim,  "Hand extraction algorithm for the human-robot interaction using vision,'' ICS' 14, 2014.

23. D. W. Kim and H. J. Lee, “Design of Hinfty controller of sampled-data fuzzy control system,” ICROS Annual Conference, 2014.

24. D. W. Kim, “Nonlinear steering Control of autonomous underwater vehicles: A Fuzzy-Model-Based Approach,” ICMITE2013, 2013

25. I. K. Moon, Y. H. Joo, and D. W. Kim, “Wind farm output distribution technique,” CICS’ 13, 2013.

26. W. Zhang, Y. H. Joo, and D. W. Kim, “Reference power dispatch based on wind speed prediction for wind farm,” CICS’ 13, 2013.

27. D. W. Kim and Y. H. Joo, “Design of waypoint tracking controller of autonomous underwater vehicles with input saturation : An LMI Approach,” CICS’ 13, 2013.

28. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of robust controller for depth control of autonomous underwater vehicles under the stern plane angle constraints,” ICISCA2012, 2012.

29. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of T-S fuzzy-model-based diving control of autonomous underwater vehicles : line of sight guidance approach,” ICCAS2012, 2012.

30. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of T-S fuzzy model based robust H1 controller for diving control of AUVs under the the stern plane angle constraints,” 한국지능시스템학회 학술발표 논문집, pp. 57–58, 2012.

31. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of T-S fuzzy-model-based controller for the line of sight guidance and control of autonomous underwater vehicles,” 대한전기학회 학술대회논문집, 2012.

32. D. W. Kim and H. J. Lee, “Design of robust sampled-data observer-based output-feedback fuzzy controller for a class of nonlinear systems,” ICROS Annual Conference, 2012.

33. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of T-S fuzzy-model-based H_infty controller for diving control of AUV,” ICROS Annual Conference, 2012.

34. M. J. Hyun, H. S. Song, H. J. Lee, and D. W. Kim, “Digital redesign of time-varying trackers for T-S fuzzy system,” ICROS Annual Conference, 2012.

35. S. C. Jee, H. J. Lee, and D. W. Kim, “H / H1 fault detection and isolation for T-S fuzzy systems,” ICROS Annual Conference, 2012.

36. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of T-S fuzzy-model-based controller for depth control of autonomous underwater vehicles with parametric uncertainties,” ICCAS2011, pp. 1682-1684, 2011.

37. Y. J. Yeon, D. W. Kim, and H. J. Lee, “T-S fuzzy-model-based robust speed controller design of autonomous underwater vehicles,” pp. 1946-1947,  대한전기학회 학술대회논문집,  2011.

38. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of robust depth controller of autonomous underwater vehicles under the stern angle constraints,” 대한전기학회 학술대회논문집, pp. 1944-1945, 2011.

39. H. S. Song, H. J. Lee, S. C. Jee, and D. W. Kim, ”Improving a digital redesign for observer-based time-varying trackers,” 대한전자공학회 하계종합학술대회, pp. 1371-1373, 2011.

40. S. C. Jee, H. S. Song, H. J. Lee, Y. H. Joo, and D. W. Kim, “H_/H_infty fault detection and isolation for time-delayed systems,” 대한전자공학회 하계종합학술대회Œ, pp. 1228-1231, 2011.

41. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of fuzzy controller for depth control of autonomous underwater vehicles under the stern angle constraints,” ICROS Annual Conference, pp. 747-748, 2011.

42.  Y. J. Yeon, D. W. Kim, and H. J. Lee, “T-S fuzzy-model-based speed controller design of autonomous underwater vehicles,” ICROS Annual Conference, pp. 745-746, 2011.

43. S. W. Jun, D. W. Kim, and H. J. Lee, “Design of T-S fuzzy-model-based controller for depth control of autonomous underwater vehicles,” 한국지능시스템학회 학술발표 논문집, pp. 49-50, 2011.

44. D. W. Kim, H. J. Lee, and J. Sur., “Tracking control of autonomous underwater vehicles: Fuzzy-model-based design approach,” 대한기계공학회 추계종합학술대회, 2010.

45. S. C. Jee, H. J. Lee, Y. H. Joo, and D. W. Kim, “H fault detection and isolation for large scaled systems,” 대한전기학회 추계학술대회Œ, pp. 117-119, 2010.

46. H. J. Lee, D.W. Kim, S. C. Jee, and Y. H. Joo, “H−/H1 Fault Detector Design for Discrete-Time Large-Scale Uncertain Linear Time-Invariant Systems,” 2009 년도 대한전자공학회 하계종합학술대회, pp. 1192–1193, 2009.

47. D. W. Kim, J. B. Park, and Y. H. Joo, “Digital control of T-S fuzzy systems: direct discrete-time design approach”, International Symposium on Advanced Intelligent Systems, pp. 799–800, 2007.

48. D. W. Kim, Y. H. Joo, and J. B. Park, “State-matching properties and stability of redesigned fuzzy digital control system,” 한국지능시스템학회 학술발표 논문집, pp. 409–412, 2007.

49. D. W. Kim, J. B. Park, and Y. H. Joo, “Digital redesign of linear time-invariant systems: integral quadratic constraint approach,” SICE-ICCAS, pp. 847–850, 2006,10.

50. D. W. Kim, Y. H. Joo, and J. B. Park, “New Sufficient Conditions to Intelligent Digital Redesign for the Improvement of State-Matching Performance,” 한국지능시스템학회학술발표논문집, pp. 293–296, 2006.

51. H. C. Sung, Y. H. Joo, J. B. Park, D.W. Kim, “Development of the digital fuzzy controller for a hybrid power system using wind and solar energy,”한국지능시스템학회학술발표논문집 , pp. 99–102, 2006.

52. D. W. Kim, Y. H. Joo, and J. B. Park, ”Fuzzy Modeling and Fuzzy Control of HIV-1 Biodynamics,” 한국지능시스템학회 학술발표 논문집, pp. 75–78, 2006.

53. D. W. Kim, H. J. Lee, Y. H. Joo, and J. B. Park, ”Stability Analysis of Sampled-Data Fuzzy System,”대한전기학회:학술대회논문집, pp. 2085–2086, 2006.

54. D. W. Kim, Y. H. Joo, and J. B. Park, “Intelligent Digital Redesign Via Complete State-Matching,” 대한전기학회 2006년도 심포지엄 논문집 (정보 및 제어부문), pp. 276-278, 2006.

55. D. W. Kim, J. B. Park, S. H. Kim, and Y. H. Joo, “Design of Intelligent Controller for Biodynamic System of HIV-1,” 2006제어자동화시스템 심포지엄 (CASS 2006), pp. 771-776, 2006.

56. D. W. Kim, J. B. Park, and Y. H. Joo, “Periodic sampled-data control for fuzzy systems: intelligent digital redesign approach,” ICCAS2005, pp. 1492–1495, 2005.06

57. D. W. Kim, Y. H. Joo, and J. B. Park, “Intelligent Digital Redesign via Bilinear Approximation Method,” pp. 319–323, 2005년도제어자동화시스템공학회 합동학술발표대회, 2005.

58. H. C. Sung, Y. H. Joo, J. B. Park, and D. W. Kim, “Intelligent digital redesign of uncertain nonlinear systems using power series,” 대한전기학회:학술대회 논문집 (대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문), pp. 496–498, 2005.

59. H. C. Sung, Y. H. Joo, J. B. Park, and D. W. Kim, “Intelligent digital redesign of uncertain nonlinear systems: global approach,” 한국지능시스템학회 학술 발표논문집, pp. 95–98, 2005.

60. D. W. Kim, Y. H. Joo, and J. B. Park, “An improved LMI-based intelligent digital redesign using compensated bilinear transform,” 한국지능시스템학회 학술발표논문집, pp. 91–94, 2005.

61. D. W. Kim, Y. H. Joo, and J. B. Park, “Design of state feedback controller for fuzzy systems: intelligent digital redesign,” 대한전기학회 2005년도 학술대회 논문집, pp. 2480–2482, 2005.

62. D. W. Kim, Y. H. Joo, and J. B. Park, “Intelligent digital redesign based on periodic control,”한국지능시스템학회학술발표논문집, pp. 378–381, 2005.

63. D. W. Kim, J. B. Park, and Y. H. Joo, “Pruning and learning fuzzy rule-based classifier,” ICCAS2004, pp. 663–667, 2004.08

64. D. W. Kim, J. B. Park, and Y. H. Joo, “Multirate Control of Takagi-Sugeno fuzzy system,” ICCAS2004, pp. 672-677, 2004.08

65. D. W. Kim, J. B. Park, K. K. Jang, K. H. Jung, and Y. H. Joo, “Multirate Sampled-Data Control System: Optimal Digital Redesign Approach,” 대한전기학회 2004년도 학술대회논문집 정보및제어부문, pp. 708–710, 2004.11

66. D. W. Kim, Y. H. Joo, and J. B. Park, “Design of Intelligent Digital Controller with Dual-Rate Sampling,”한국지능시스템학회학술발표논문집, pp. 559–562, 2004.4

67. D. W. Kim, J. B. Park, K. K. Jang, K. H. Jung, and Y. H. Joo, “Developing Takagi-Sugeno Fuzzy Model-Based Estimator for Short-Term Load Forecasting,” 한국지능시스템학회학술발표논문집, pp. 523–526, 2004.4

68. D. W. Kim, J. B. Park, K. K. Jang, and Y. H. Joo, “Multirate control of sampled-data fuzzy system,” 대한전기학회 2004년도 학술대회 논문집, pp. 2543–2545, 2004.7

69. D. W. Kim, J. B. Park, and Y. H. Joo, “Design of dual-rate fuzzy model-based digital controller using intelligent digital redesign,” ICCAS2003, pp. 1289-1294, 2003.10

70. D. W. Kim, J. B. Park, J. C. Kim, and Y. H. Joo, “A Study on Short-Term Load Forecasting System Using Data Mining,”대한전기학회:학술대회논문집, 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B, pp. 588–591, 2003.

71. D. W. Kim, Y. H. Joo, and J. B. Park, “Fuzzy model-based digital controller using dual-rate sampling,” 한국지능시스템학회 학술발표 논문집, pp. 129–132, 2003.

72. D. W. Kim, J. B. Park, K. H. Jeong, and Y. H. Joo, “A new discretization of continuous-time T–S fuzzy system,”대한전기학회 2003년도 학술대회 논문집, pp. 2286–2288, 2003.

73. D. W. Kim, J. B. Park, Y. W. Lee, and Y. H. Joo, “An Approach to Combining Classifier with MIMO Fuzzy Model,” 한국지능시스템학회 학술발표 논문집, pp.183–188, 2003.

74. D. W. Kim, M .H. Kim, Y. H. Joo, and J. B. Park, “Fuzzy modeling for data mining using information granules,” ICCAS2002, pp. 2229–2234, 2002.10

75. D. W. Kim, J. B. Park, J. C. Kim, and Y. H. Joo, “A construction of fuzzy model for data mining,”한국지능시스템학회학술발표논문집, pp.191–194, 2002.

76. D. W. Kim, M. H. Kim, Y. H. Joo, and J. B. Park, “Fuzzy system modeling using new hierarchical structure,”한국지능시스템학회학술발표논문집, pp. 127–130, 2002.