IECE Transactions on Intelligent Unmanned Systems
ISSN: 2998-9140 (Online)
Email: [email protected]
[1]Lesage, M., Juliani, C., & Ellefmo, S. L. (2018). Economic block model development for mining seafloor massive sulfides. Minerals, 8(10), 468.
[2]Volkmann, S. E., Kuhn, T., & Lehnen, F. (2018). A comprehensive approach for a techno-economic assessment of nodule mining in the deep sea. Mineral economics, 31, 319-336.
[3] Dai Y, Liu S. An integrated dynamic model of ocean mining system and fast simulation of its longitudinal reciprocating motion[J]. China Ocean Engineering, 2013, 27(2): 231-244.
[4] Dai Y, Liu S. Theoretical design and dynamic simulation of new mining paths of tracked miner on deep seafloor[J]. Journal of Central South University, 2013, 20(4): 918-923.
[5] Dai, Y., Liu, S., & Li, L.(2010). Dynamic analysis of the seafloor pilot miner based on single-body vehicle model and discretized track-terrain interaction model. China ocean engineering, 24(1), 145-160.
[6] Li, J., Liu, S., & Dai, Y. (2017). Effect of grouser height on tractive performance of tracked mining vehicle. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39, 2459-2466.
[7] Dai, Y., & Liu, S. J. (2013). Theoretical design and dynamic simulation of new mining paths of tracked miner on deep seafloor. Journal of Central South University, 20(4), 918-923.
[8] Li, L., Zheng, Z., & Chen, M. (2014) Point stabilization of seabed mining vehicle based on Lyapunov theory, Journal of Central South University, vol. 45, no. 08, pp. 2624-2628, 2014.
[9] Li, L., & Zou, Y. H. (2012). Tracking moving path of seabed mining vehicle based on theory of variable universe fuzzy control. Journal of Central South University, 43(02), 489-496.
[10] Gan, W., Zhu, D., Hu, Z., Shi, X., Yang, L., & Chen, Y. (2019). Model predictive adaptive constraint tracking control for underwater vehicles. IEEE Transactions on Industrial Electronics, 67(9), 7829-7840.
[11] Shen, C., Shi, Y., & Buckham, B. (2017). Trajectory tracking control of an autonomous underwater vehicle using Lyapunov-based model predictive control. IEEE Transactions on Industrial Electronics, 65(7), 5796-5805.
[12] Chen, Y., Xie, X., Zhang, T., Bai, J., & Hou, M. (2020). A deep residual compensation extreme learning machine and applications. Journal of Forecasting, 39(6), 986-999.
[13] Chen, Y., Yi, C., Xie, X., Hou, M., & Cheng, Y. (2020). Solution of ruin probability for continuous time model based on block trigonometric exponential neural network. Symmetry, 12(6), 876.
[14] Saback, R. M., Conceicao, A. G. S., Santos, T. L. M., Albiez, J., & Reis, M. (2019). Nonlinear model predictive control applied to an autonomous underwater vehicle. IEEE Journal of Oceanic Engineering, 45(3), 799-812.
[15] Zhang, B., Sun, X., Liu, S., & Deng, X. (2020). Adaptive model predictive control with extended state observer for multi-UAV formation flight. International Journal of Adaptive Control and Signal Processing, 34(10), 1341-1358.
[16] Song, X., Shao, Y., & Qu, Z. (2019). A vehicle trajectory tracking method with a time-varying model based on the model predictive control. IEEE Access, 8, 16573-16583.
[17] Wu, H., Si, Z., & Li, Z. (2020). Trajectory tracking control for four-wheel independent drive intelligent vehicle based on model predictive control. IEEE Access, 8, 73071-73081.
[18] Li, S., Li, Z., Yu, Z., Zhang, B., & Zhang, N. (2019). Dynamic trajectory planning and tracking for autonomous vehicle with obstacle avoidance based on model predictive control. IEEE Access, 7, 132074-132086.
[19] Al-Mayyahi, A., Aldair, A. A., & Rashid, A. T. (2020). Intelligent control of mobile robot via waypoints using nonlinear model predictive controller and quadratic bezier curves algorithm. Journal of Electrical Engineering & Technology, 15(4), 1857-1870.
[20] Kim, E., Kim, J., & Sunwoo, M. (2014). Model predictive control strategy for smooth path tracking of autonomous vehicles with steering actuator dynamics. International Journal of Automotive Technology, 15, 1155-1164.
[21] Britzelmeier, A., & Gerdts, M. (2020). A nonsmooth newton method for linear model-predictive control in tracking tasks for a mobile robot with obstacle avoidance. IEEE Control Systems Letters, 4(4), 886-891.
[22] Yao, Z., Zhao, B., Yuan, T., Jiang, H., & Jiang, Y. (2020). Reducing gasoline consumption in mixed connected automated vehicles environment: A joint optimization framework for traffic signals and vehicle trajectory. Journal of cleaner production, 265, 121836.
[23] Yang, X., Seethaler, R., Zhan, C., Lu, D., & Zhao, W. (2019). A model predictive contouring error precompensation method. IEEE Transactions on Industrial Electronics, 67(5), 4036-4045.
[24] Hide, C., Moore, T., & Smith, M. (2004, April). Adaptive Kalman filtering algorithms for integrating GPS and low cost INS. In Plans 2004. Position location and navigation symposium (ieee cat. no. 04ch37556) (pp. 227-233). IEEE.
[25] Bai, G., Liu, L., Meng, Y., Luo, W., Gu, Q., & Wang, J. (2019). Path tracking of wheeled mobile robots based on dynamic prediction model. IEEE Access, 7, 39690-39701.
[26] Bai, G., Meng, Y., Liu, L., Luo, W., Gu, Q., & Li, K. (2019). A new path tracking method based on multilayer model predictive control. Applied sciences, 9(13), 2649.
[27] Hang, P., Huang, S., Chen, X., & Tan, K. K. (2021). Path planning of collision avoidance for unmanned ground vehicles: A nonlinear model predictive control approach. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 235(2), 222-236.
[28] Gia Luan, P., & Thinh, N. T. (2020). Real-time hybrid navigation system-based path planning and obstacle avoidance for mobile robots. Applied sciences, 10(10), 3355.
[29] C. Hong, Model Predictive control, Science Publishing House, Beijing, 2013.
[30] Yan, Z., Gong, P., Zhang, W., & Wu, W. (2020). Model predictive control of autonomous underwater vehicles for trajectory tracking with external disturbances. Ocean Engineering, 217, 107884.
[31] Howard, S., Ko, H. L., & Alexander, W. E. (1996, March). Parallel processing and stability analysis of the Kalman filter. In Conference Proceedings of the 1996 IEEE Fifteenth Annual International Phoenix Conference on Computers and Communications (pp. 366-372). IEEE.
[32] Oyelere, S. S. (2014). The application of model predictive control (MPC) to fast systems such as autonomous ground vehicles (AGV). IOSR Journal of Computer Engineering, 3(3), 27-37.
[33] Ephraim, Y., & Merhav, N. (2002). Hidden markov processes. IEEE Transactions on information theory, 48(6), 1518-1569.
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