Journal of Intelligent and Multidisciplinary Computing

Wen-Jer Chang received the M.S. degree from the Institute of Computer Science and Electronic Engineering from the National Central University in 1990 and the Ph. D. degree from the Institute of Electrical Engineering of the National Central University in 1995. Since 1995, he has been with the National Taiwan Ocean University, Keelung, Taiwan, R.O.C. He is currently a Distinguished Professor of the Department of Marine Engineering and the Director of the Center for Social Responsibility and Sustainable Development of National Taiwan Ocean University. In 2014 and 2022, he received the Outstanding Research Teacher Award from the National Taiwan Ocean University. From 2016 to 2020, he was the Dean of Academic Affairs at National Taiwan Ocean University. From 2016 to 2021, he was the Executive Supervisor of the Taiwan Open Courseware Consortium. From 2018 to 2023, he was a member of the council of the Taiwan Fuzzy Systems Association (TFSA). Since 2021, he has been the Chairman of the Association of Marine Affairs. From 2021 to 2023, he was a member of the council of the International Association of Electrical, Electronic, and Energy Engineering (IAEEEE). In 2022, he was elected to the grade of IEEE Senior Member. From 2021 to 2025, he is listed in the “World's Top 2% Scientists”, according to Stanford University. Dr. Chang has authored more than 170 published journal papers and 140 refereed conference papers. His recent research interests are intelligent control, fuzzy control, robust control, marine engineering, and smart shipping.

• intelligent control, fuzzy control, robust control, marine engineering, and smart shipping

1. Editorial Board, Journal of Maritime Sciences, 2005
2. Editorial Board, Journal of Marine Science and Technology – Taiwan (SCI Journal), 2007
3. Guest Editor, Special Issue “Marine Engineering and Applications” for Mathematical Problems in Engineering (SCI Journal), 2012
4. Associate Editor, International Journal of Fuzzy Systems (SCI Journal), 2012–present
5. Guest Editor, Special Issue “Application of Fuzzy Control in Computational Intelligence” for Processes (SCI Journal), 2021
6. Editorial Board, Processes (SCI Journal), 2021
7. Guest Editor, Special Issue “Processes in Electrical, Electronics and Information Engineering” for Processes (SCI Journal), 2023
8. Guest Editor, Special Issue “Advanced Methodology of Intelligent Control and Measurement” for Machines (SCI Journal), 2023
9. Guest Editor, Special Issue “2023 International Conference on Naval Architecture and Ocean & Marine Engineering” for Journal of Marine Science and Engineering (SCI Journal), 2023
10. Guest Editor, Special Issue “Fuzzy Control System: Design and Applications” for Processes (SCI Journal), 2024
11. Program Chair, 2012 National Symposium on System Science and Engineering, Keelung, Taiwan, June 16–17, 2012
12. Organizing Committee Member, 4th International Conference on Oceanography & Marine Biology (Oceanography-2016), Brisbane, July 18–20, 2016
13. Editor, Proceedings of the 2016 International Conference on Computer Science and Artificial Intelligence (CSAI 2016), Guilin, China, August 13–14, 2016
14. Technical, Program, Organizing, Publicity, Steering or Advisory Committee Member / Chair for multiple international conferences between 2016 and 2025, including CEMD, IJCCI, NAOME, ICRAE, ICCA, CACS, ACIRS, ISEEIE, ICCR, EPCE, RobCE, CCRIS, CACEE, CISDS, ICICR and related events across Asia, Europe and Australia

1. Chandrasekar, A., Chang, W.-J., Radhika, T., Kumar, S. S., & Aslam, M. S. (2025). Adaptive event triggering asynchronous control for interval type-2 fuzzy Markov jump systems with uncertainties and deception attacks. Complex & Intelligent Systems. https://doi.org/10.1007/s40747-025-02172-5
2. Bilal, H., Rehman, A., Aslam, M. S., Ullah, I., Chang, W.-J., Jumar, N., & Almuhaideb, A. (2025). Hybrid TrafficAI: A generative AI framework for real-time traffic simulation and adaptive behavior modelling. IEEE Transactions on Intelligent Transportation Systems.
3. Aslam, M. S., Bilal, H., Chang, W.-J., Yahya, A., Badruddin, I. A., Kamangar, S., & Hussien, M. (2024). Formation control of heterogeneous multi-agent systems under fixed and switching hierarchies. IEEE Access, 12, 97868–97882.
4. Aslam, M. S., Bilal, H., Chang, W.-J., Yahya, A., Badruddin, I. A., Kamangar, S., & Hussien, M. (2024). Indirect adaptive observer control (I-AOC) design for truck–trailer model based on T-S fuzzy system with unknown nonlinear function. Complex & Intelligent Systems, 10, 7311–7331.
5. Farooq, A., Xiang, Z., Chang, W.-J., & Aslam, M. S. (2025). Recent advancement in formation control of multi-agent systems: A review. CMC — Computers, Materials & Continua, 83(3), 3623–3674.
6. Lin, Y.-C., Su, C.-L., & Chang, W.-J. (2024). Decentralized and performance-constrained state-estimated fuzzy control for nonlinear differential-algebraic interconnected systems. Information Sciences, 673, 120666.
7. Chang, W.-J., Lin, Y.-H., & Ku, C.-C. (2025). A comprehensive survey on advanced control techniques for T-S fuzzy systems subject to control input and system output requirements. Processes, 13(3), 792.
8. Lee, Y.-C., Lin, Y.-H., Chang, W.-J., Aslam, M. S., & Lin, Z.-Y. (2025). Optimal fuzzy tracking synthesis for nonlinear discrete-time descriptor systems with T-S fuzzy modeling approach. CMES — Computer Modeling in Engineering & Sciences, 143(2), 1433–1461.
9. Lin, Z.-Y., Chang, W.-J., Aslam, M. S., Su, C.-L., & Lin, Y.-H. (2025). Difference state feedback fuzzy control of nonlinear discrete-time ship steering system in descriptor form. International Journal of Fuzzy Systems, 27(4), 1257–1278.
10. Naseer, S., Chang, W.-J., Aslam, M. S., Bukhari, M. H., Bilal, H., & Nawaz, M. J. (2025). Design of global climate control based on fuzzy systems with concept of carbon emissions. PLoS One, 20(10), e0333846.
11. Ullah, R., Aslam, M. S., Chang, W.-J., Weining, L., & Gao, S. (2025). Event-triggered H-infinity filtering for delay T-S fuzzy Markov jump systems with sensor fault. International Journal of Fuzzy Systems. https://doi.org/10.1007/s40815-025-02072-3
12. Lin, Y.-H., Lee, Y.-C., Chang, W.-J., Li, L., & Lee, S.-W. (2025). Fuzzy covariance control for interval type-2 fuzzy stochastic systems with individual state variance constraints. Contemporary Mathematics, 6(4), 3947–3975.
13. Aman, M. A., Chang, W.-J., Aslam, M. S., Salman, M., & Bilal, H. (2025). Control strategies and power converter topologies for switched reluctance motors in electric vehicle applications: A comprehensive review. An International Journal of Optimization and Control: Theories & Applications, 15(4), 549–577.
14. Anjum, Z., Chang, W.-J., Aslam, M. S., & Ullah, R. (2025). Fixed-time variable exponent coefficient sliding mode control with disturbance observer for nonlinear systems. An International Journal of Optimization and Control: Theories & Applications, 15(4), 670–685.
15. Chang, W.-J., Huang, Y.-M., Ku, C.-C., & Du, J. (2023). Observer-based robust fuzzy controller design for uncertain singular fuzzy systems subject to passivity criterion. Machines, 11(2), 280.
16. Pen, C.-L., Chang, W.-J., & Lin, Y.-H. (2023). Fuzzy controller design approach for a ship’s dynamic path based on AIS data with the Takagi–Sugeno fuzzy observer model. Journal of Marine Science and Engineering, 11(6), 1181.
17. Ku, C.-C., Sun, C.-C., Jian, S.-H., & Chang, W.-J. (2023). Passive fuzzy controller design for parameter-dependent polynomial fuzzy model. Mathematics, 11(11), 2482.
18. Chang, W.-J., Huang, Y.-M., & Lin, Y.-H. (2023). Observer-based fuzzy control of uncertain nonlinear singular systems under multi-performance requirements. Mathematics, 11(12), 2632.
19. Chang, W.-J., Lin, Y.-H., Lee, Y.-C., & Ku, C.-C. (2024). Investigating formation and containment problem for nonlinear multi-agent systems via interval type-2 fuzzy sliding mode tracking approach. IEEE Transactions on Fuzzy Systems, 32(7), 4163–4177.
20. Lee, Y.-C., Su, C.-L., & Chang, W.-J. (2024). Decentralized and performance-constrained state-estimated fuzzy control for nonlinear differential-algebraic interconnected systems. Information Sciences, 673, 120666.
21. Chang, W.-J., Lin, Y.-H., & Ku, C.-C. (2025). A comprehensive survey on advanced control techniques for T-S fuzzy systems subject to control input and system output requirements. Processes, 13(3), 792.
22. Lee, Y.-C., Lin, Y.-H., Chang, W.-J., Aslam, M. S., & Lin, Z.-Y. (2025). Optimal fuzzy tracking synthesis for nonlinear discrete-time descriptor systems with T-S fuzzy modeling approach. CMES — Computer Modeling in Engineering & Sciences, 143(2), 1433–1461.
23. Lin, Z.-Y., Chang, W.-J., Aslam, M. S., Su, C.-L., & Lin, Y.-H. (2025). Difference state feedback fuzzy control of nonlinear discrete-time ship steering system in descriptor form. International Journal of Fuzzy Systems, 27(4), 1257–1278.
24. Lin, Y.-H., Lee, Y.-C., Chang, W-J., Li, L., & Lee, S.-W. (2025). Fuzzy covariance control for interval type-2 fuzzy stochastic systems with individual state variance constraints. Contemporary Mathematics, 6(4), 3947–3975.
25. Chang, W.-J., Hsu, F.-L., & Ku, C.-C. (2019). Robust fuzzy control with transient and steady-state performance constraints for ship fin stabilizing systems. International Journal of Fuzzy Systems, 21(2), 518–531.
26. Li, J., Du, J., & Chang, W.-J. (2019). Robust time-varying formation control for underactuated autonomous underwater vehicles with disturbances under input saturation. Ocean Engineering, 179, 180–188.
27. Chang, C.-M., Chang, W.-J., Ku, C.-C., & Hsu, F.-L. (2018). Passive fuzzy control for lift feedback fin stabilizer systems of a ship via multiplicative noise based on fuzzy model. Journal of Marine Science and Technology, 26(2), 159–165.
28. Chang, W.-J., Qiao, H.-Y., & Ku, C.-C. (2018). Sliding mode fuzzy control for nonlinear stochastic systems subject to pole assignment and variance constraint. Information Sciences, 432, 133–145.
29. Qiao, H.-Y., Chang, W.-J., & Ku, C.-C. (2018). Robust fuzzy-based sliding mode control for uncertain discrete nonlinear systems for achieving performance requirements. International Journal of Fuzzy Systems, 20(1), 246–258.
30. Chang, W.-J., Hsu, F.-L., & Ku, C.-C. (2017). Complex performance control using sliding mode fuzzy approach for discrete-time nonlinear systems via T-S fuzzy model with bilinear consequent part. International Journal of Control, Automation and Systems, 15(4), 1901–1915.
31. Qiao, H.-Y., Chang, W.-J., & Ku, C.-C. (2017). Robust sliding mode fuzzy control for perturbed nonlinear stochastic systems subject to input and state requirements. Journal of Intelligent and Fuzzy Systems, 32(6), 4285–4297.
32. Chang, W.-J., Ku, C.-C., & Huang, B.-J. (2017). Multi-constrained fuzzy intelligent control for uncertain discrete systems with complex noises: An application to ship steering systems. Journal of Marine Engineering & Technology, 16(1), 11–21.
33. Chang, W.-J., Ku, C.-C., & Su, C.-L. (2016). Fuzzy control via imperfect premise matching approach for discrete Takagi–Sugeno fuzzy systems with multiplicative noises. Journal of Marine Science and Technology, 24(5), 949–957.
34. Chang, W.-J., Ku, C.-C., & Sun, C.-C. (2014). Passive fuzzy controller design for parameter-dependent polynomial fuzzy model. Mathematics, 11(11), 2482.
35. Chang, W.-J., Wu, S.-M., Sun, C.-C., & Chung, H.-Y. (2007). T-S region-based fuzzy control with multiple performance constraints. ISA Transactions, 46(1), 85–93.
36. Chang, W.-J., Ku, C.-C., & Wu, S.-M. (2007). Passive fuzzy control with relaxed conditions for discrete affine T-S fuzzy systems. International Journal of Innovative Computing, Information and Control, 3(4), 853–871.
37. Chang, W.-J., Ku, C.-C., & Chang, W. (2009). Fuzzy control with passivity synthesis for continuous affine Takagi–Sugeno fuzzy systems. International Journal of Intelligent Computing and Cybernetics, 2(3), 295–303.
38. Chang, W.-J., Ku, C.-C., Huang, P.-H., & Chang, W. (2009). Passive fuzzy control for continuous-time affine T-S fuzzy models with relaxed stability conditions. ISA Transactions, 48(3), 295–303.
39. Chang, W.-J., Yeh, Y.-L., & Meng, Y.-T. (2006). State variance constrained fuzzy control via observer-based fuzzy controllers. Journal of Marine Science and Technology, 14(1), 49–57.
40. Chang, W.-J., Wu, S.-M. (2006). Fuzzy control with input energy and state variance constraints for perturbed ship steering systems. International Journal of Computer Applications in Technology, 27(2–3), 133–143.
41. Chang, W.-J., Shing, C.-C. (2005). Discrete fuzzy covariance control for specified decay rate. International Journal of Systems Science, 36(4), 201–208.
42. Chang, W.-J., Shing, C.-C. (2004). Discrete fuzzy controller design for achieving common state covariance assignment. ASME Journal of Dynamic Systems, Measurement and Control, 126(3), 627–632.
43. Chang, W.-J., Shing, C.-C. (2004). LMI-based fuzzy controller design with minimum upper bound input energy and state variance constraints for discrete fuzzy stochastic systems. Journal of Intelligent and Fuzzy Systems, 15(2), 115–124.
44. Chang, W.-J., Wu, S.-M., Sun, C.-C., & Chung, H.-Y. (2007). Mixed H₂/H-infinity region-based fuzzy controller design for continuous-time fuzzy systems. Journal of Intelligent and Fuzzy Systems, 18(1), 19–30.
45. Sun, C.-C., Wu, S.-M., Chung, H.-Y., & Chang, W.-J. (2007). Design of Takagi–Sugeno fuzzy region controller based on rule reduction, robust control, and switching concept. ASME Journal of Dynamic Systems, Measurement and Control, 129(2), 163–170.
46. Wu, S.-M., Sun, C.-C., Chung, H.-Y., & Chang, W.-J. (2007). Evolutionary design of static output feedback controller for Takagi–Sugeno fuzzy systems. IET Control Theory & Applications, 1(4), 1096–1103.
47. Chang, W.-J., Ku, C.-C., Chang, W., & Huang, P.-H. (2009). Fuzzy controller design for passive continuous-time affine T-S fuzzy models with relaxed stability conditions. ISA Transactions, 48(3), 295–303.
48. Chang, W.-J., Chang, W., & Ku, C.-C. (2009). H-infinity fuzzy control for time-delay affine Takagi–Sugeno fuzzy models: An ILMI approach. Journal of the Chinese Institute of Engineers, 32(4), 501–512.
49. Chang, W.-J., Ku, C.-C., & Chang, W. (2008). Analysis and synthesis of discrete nonlinear passive systems via affine T-S fuzzy models. International Journal of Systems Science, 39(8), 809–821.
50. Chung, H.-Y., Wu, S.-M., & Chang, W.-J. (2008). Regional fuzzy control for nonlinear ship steering systems. International Journal of Innovative Computing, Information and Control, 4(7), 1635–1646.
51. Chang, W.-J., Sun, C.-C., Ku, C.-C., & Huang, P.-H. (2009). Fuzzy controller design for passive continuous-time affine T-S fuzzy models with relaxed conditions. ISA Transactions, 48(3), 295–303.
52. Chang, W.-J., Yeh, Y.-L., & Yeh, Y.-F. (2006). Variance constrained fuzzy control for observer-based T-S fuzzy models with minimizing auxiliary performance index. Journal of Intelligent and Fuzzy Systems, 17(1), 59–69.
53. Chang, W.-J., Wu, S.-M. (2005). Continuous fuzzy controller design subject to minimizing control input energy with output variance constraints. European Journal of Control, 11(3), 269–277.
54. Chang, W.-J., Chang, W. (2005). Synthesis of nonlinear discrete control systems via time-delay affine Takagi–Sugeno fuzzy models. ISA Transactions, 44(2), 243–257.
55. Chang, W.-J., Wu, S.-M. (2005). Fuzzy covariance control for a class of continuous perturbed nonlinear stochastic systems. Journal of the Chinese Institute of Engineers, 28(3), 453–461.
56. Sun, C.-C., Chung, H.-Y., & Chang, W.-J. (2005). H₂/H-infinity robust static output feedback control design via mixed genetic algorithm and linear matrix inequalities. ASME Journal of Dynamic Systems, Measurement and Control, 127(4), 715–722.
57. Chang, W.-J., Yeh, Y.-L., & Chang, W. (2006). Variance constrained fuzzy control via observer-based fuzzy controllers. Journal of Marine Science and Technology, 14(1), 49–57.
58. Chung, H.-Y., Chang, W.-J. (1993). A study of H-infinity norm and variance constrained design using dynamic output feedback for linear discrete systems. International Journal of Control, 57(2), 473–483.
59. Chang, W.-J., Chung, H.-Y. (1992). Upper bound covariance control of discrete perturbed systems. Systems & Control Letters, 19(6), 493–498.
60. Chung, H.-Y., Chang, W-J. (1992). Covariance control with variance constraints for continuous perturbed stochastic systems. Systems & Control Letters, 19(5), 413–417.
61. Chung, H.-Y., Chang, W.-J. (1991). Constrained variance design for bilinear stochastic continuous systems. IEE Proceedings D — Control Theory and Applications, 138(2), 145–150.
62. Chung, H.-Y., Chang, W.-J. (1991). Observed-state feedback covariance control for bilinear stochastic discrete systems. Control-Theory and Advanced Technology, 7(4), 695–707.
63. Chung, H.-Y., Chang, W.-J., Tsay, M.-K. (1990). On the controller design for perturbed bilinear stochastic systems. JSME International Journal, 33(4), 559–566.
64. Chung, H.-Y., Chang, W.-J. (1990). Input and state covariance control for bilinear stochastic discrete systems. Control-Theory and Advanced Technology, 6(4), 655–667