[1] Ahani A, Ketabdari MJ (2019) Alternative approach for dynamic-positioning thrust allocation using linear pseudo-inverse model. Applied Ocean Research 90: 101854. https://doi.org/10.1016/j.apor.2019.101854
[2] Bordignon KA (1996) Constrained control allocation for systems with redundant control effectors. Blacksburg: Virginia Polytechnic Institute and State University
[3] Biss D, Perkins JD (1993) Application of input-output controllability analysis to chemical processes. In Proceedings of European control conference 2: 1056
[4] Brown DT, Ekstrom L (2005) Vessel thruster-thruster interactions during azimuthing operations. In International Conference on Offshore Mechanics and Arctic Engineering 41952: 991-996. https://doi.org/10.1115/OMAE2005-67500
[5] Buffington JM, Enns DF (1996) Lyapunov stability analysis of daisy chain control allocation. Journal of Guidance, Control, and Dynamics 19(6): 1226-1230. https://doi.org/10.2514/3.21776
[6] Chen M, Ge SS, How BVE, Choo YS (2012) Robust adaptive position mooring control for marine vessels. IEEE Transactions on Control Systems Technology 21(2): 395-409
[7] Chen H, Wan L, Wang F, Zhang G (2012) Model predictive controller design for the dynamic positioning system of a semi-submersible platform. Journal of Marine Science and Application 11: 361-367. https://doi.org/10.1007/s11804-012-1144-z
[8] Daoutidis P, Kravaris C (1992) Structural evaluation of control configurations for multivariable nonlinear processes. Chemical Engineering Science 47(5): 1091-1101. https://doi.org/10.1016/0009-2509(92)80234-4
[9] Enns D (1998) Control allocation approaches. In Guidance, navigation, and control conference and exhibit. Reston: American Institute of Aeronautics and Astronautics, Inc. AIAA-98-4109. https://doi.org/10.2514/6.1998-4109
[10] Faÿ H (1990) Dynamic Positioning Systems: Principles, Design, and Applications. Paris, Ophrys Editions.
[11] Fossen TI, Perez T (2004) Marine Systems Simulator (MSS). URL: https://github.com/cybergalactic/MSS
[12] Fossen TI, Johansen TA (2006) A survey of control allocation methods for ships and underwater vehicles. In 2006 14th Mediterranean Conference on Control and Automation. Piscataway: IEEE 1-6. https://doi.org/10.1109/MED.2006.328749
[13] Gao D, Wang X, Wang T, Wang Y, Xu X (2019) Optimal thrust allocation strategy of electric propulsion ship based on improved non-dominated sorting genetic algorithm II. IEEE Access 7: 135247-135255. https://doi.org/10.1109/ACCESS.2019.2942170
[14] Gawronski W, Lim KB (1996) Balanced actuator and sensor placement for flexible structures. International Journal of Control 65(1): 131-145. https://doi.org/10.1080/00207179608921690
[15] Gopmandal F, Ghosh A, Kumar A (2022) LQ optimal robust multivariable PID control for dynamic positioning of ships with norm-bounded parametric uncertainties. Ocean Engineering 266 (part 4): 113054. https://doi.org/10.1016/j.oceaneng.2022.113054
[16] Govin R, Powers GJ (1982) Control system synthesis strategies. AIChE Journal 28(1): 60-73. https://doi.org/10.1002/aic.690280110
[17] Ha? A, Liu L (1993) Sensor and actuator location in motion control of flexible structures. Journal of Sound and Vibration 167(2): 239-261. https://doi.org/10.1006/JSVI.1993.1333
[18] Hovd M, Skogestad S (1993) Procedure for regulatory control structure selection with application to the FCC process. AIChE Journal 39(12): 1938-1953. https://doi.org/10.1002/aic.690391205
[19] Jafari SR, Khaki-Sedigh A, Birk W (2023) Adaptive multi-objective control allocation with online actuator selection for over-actuated systems. International Journal of Dynamics and Control 11(3): 1220-1229. https://doi.org/10.1007/s40435-022-01054-9
[20] Johansen TA, Fossen TI, Berge SP (2004) Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming. IEEE Transactions on Control Systems Technology 12(1): 211-216. https://doi.org/10.1109/TCST.2003.821952
[21] Li H, Lin X (2022) Robust finite-time fault-tolerant control for dynamic positioning of ships via nonsingular fast integral terminal sliding mode control. Applied Ocean Research 122: 103126. https://doi.org/10.1016/j.apor.2022.103126
[22] Li J, Xiang X, Yang S (2022) Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation. Neurocomputing 484: 1-12. https://doi.org/10.1016/j.neucom.2021.03.136
[23] Lin Y, Du J, Zhu G, Fang H (2018) Thruster fault-tolerant control for dynamic positioning of vessels. Applied Ocean Research 80: 118-124. https://doi.org/10.1016/j.apor.2018.07.015
[24] Liu C, Teng Y, Zhang Y, Zhang L (2023) Model predictive control and thrust allocation for dynamic positioning of vessels. In International Conference on Guidance, Navigation and Control Singapore: Springer Nature Singapore 845: 994-1005. https://doi.org/10.1007/978-981-19-6613-2_100
[25] Liu X, Chen BM, Lin Z (2003) On the problem of general structural assignments of linear systems through sensor/actuator selection. Automatica 39(2): 233-241. https://doi.org/10.1016/S0005-1098(02)00167-X
[26] ?veraas H, Halvorsen HS, Landstad O, Smines V, Johansen TA (2023) Dynamic positioning using model predictive control with short-term wave prediction. IEEE Journal of Oceanic Engineering 48(4): 1065-1077. https://doi.org/10.1109/JOE.2023.3288969
[27] Naderi M, Khaki Sedigh A (2020) Actuator selection for over-actuated systems using the actuator effectiveness index. International Journal of Dynamics and Control 8(3): 991-998. https://doi.org/10.1007/s40435-020-00610-5
[28] Naderi M, Johansen TA, Sedigh AK (2019) A fault tolerant control scheme using the feasible constrained control allocation strategy. International Journal of Automation and Computing 16: 628-643. https://doi.org/10.1007/s11633-019-1168-9
[29] Perez T, Fossen TI, Sorensen A (2004) A discussion about seakeeping and manoeuvring models for surface vessels. Centre for Ships and Ocean Structures (CESOS), Technical Report No. MSS-TR-001
[30] Samar R, Postlethwaite I (1994) Multivariable controller design for a high performance aero-engine. In 1994 International Conference on Control-Control’94. London:IET 2: 1312-1317. https://doi.org/10.1049/cp:19940326
[31] Septanto H, Adinanta H, Kurniawan E, Mujahid AS, Malakani AI, Afandi MI, Permana C, Nurhadi N (2023) Asymptotic sliding mode control design for ship dynamic positioning system. In 2023 International Seminar on Intelligent Technology and Its Applications (ISITIA). Piscataway: IEEE 500-504. https://doi.org/10.1109/ISITIA59021.2023.10220972
[32] Shen H, Wang Y, Wang J, Park JH (2023) A fuzzy-model-based approach to optimal control for nonlinear Markov jump singularly perturbed systems: A novel integral reinforcement learning scheme. IEEE Transactions on Fuzzy Systems 31(10): 3734-3740. https://doi.org/10.1109/TFUZZ.2023.3265666
[33] Sørensen AJ (2011) A survey of dynamic positioning control systems. Annual Reviews in Control 35(1): 123-136. https://doi.org/10.1016/j.arcontrol.2011.03.008
[34] Tang L, Wang L, Wang Y, Zhang Y (2022) An enhanced trajectory tracking control of the dynamic positioning ship based on nonlinear model predictive control and disturbance observer. Ocean Engineering 265: 112482. https://doi.org/10.1016/j.oceaneng.2022.112482
[35] Tannuri EA, Agostinho AC, Morishita HM, Moratelli Jr L (2010) Dynamic positioning systems: An experimental analysis of sliding mode control. Control Engineering Practice 18(10): 1121-1132. https://doi.org/10.1016/j.conengprac.2010.06.007
[36] Tohidy S, Sedigh AK (2013) Fault tolerant fuzzy control allocation for overactuated systems. In 2013 13th Iranian Conference on Fuzzy Systems (IFSC) Piscataway: IEEE 1-5. https://doi.org/10.1109/IFSC.2013.6675653
[37] Tohidi SS, Khaki Sedigh A, Buzorgnia D (2016) Fault tolerant control design using adaptive control allocation based on the pseudo inverse along the null space. International Journal of Robust and Nonlinear Control 26(16): 3541-3557. https://doi.org/10.1002/rnc.3518
[38] Wang J, Wu J, Shen H, Cao J, Rutkowski L (2022) Fuzzy H∞ control of discrete-time nonlinear Markov jump systems via a novel hybrid reinforcement Q-learning method. IEEE Transactions on Cybernetics 53(11): 7380-7391. https://doi.org/10.1109/TCYB.2022.3220537
[39] Zhao L, Roh MI (2015) A thrust allocation method for efficient dynamic positioning of a semisubmersible drilling rig based on the hybrid optimization algorithm. Mathematical Problems in Engineering 1-12. https://doi.org/10.1155/2015/183705
[40] Zhang G, Lv S, Huang C, Zhang X (2023) Robust adaptive control for dynamic positioning vehicles in presence of adjustable threshold rule and input constraints. Ocean Engineering 282: 114950. https://doi.org/10.1016/j.oceaneng.2023.114950