J Shanghai Jiaotong Univ Sci ›› 2020, Vol. 25 ›› Issue (6): 681-688.doi: 10.1007/s12204-020-2229-5
PENG Pai (彭湃), CHEN Cong (陈聪), YANG Yongsheng (杨永胜)
Online:
2020-12-28
Published:
2020-11-26
Contact:
YANG Yongsheng (杨永胜)
E-mail:ysyang@sjtu.edu.cn
CLC Number:
PENG Pai, CHEN Cong , YANG Yongsheng . Particle Swarm Optimization Based on Hybrid Kalman Filter and Particle Filter [J]. J Shanghai Jiaotong Univ Sci, 2020, 25(6): 681-688.
[1] | KENNEDY J. Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance[C]//Proceedings of the 1999 Congress on Evolutionary Computation-CEC99. Washington, DC,USA: IEEE, 1999: 1931-1938. |
[2] | KENNEDY J, EBERHART R. Particle swarm optimization[C]//IEEE International Conference on Neural Networks. Perth, Australia: IEEE, 1995: 1942-1948. |
[3] | CHAUHAN P, DEEP K, PANT M. Novel inertia weight strategies for particle swarm optimization [J].Memetic Computing, 2013, 5(3): 229-251. |
[4] | MENDES R, KENNEDY J, NEVES J. Watch the neighbor or how the swarm can learn from its environment[C]//Proceedings of the 2003 IEEE Swarm Intelligence Symposium. Indianapolis, IN, USA: IEEE,2003: 88-94. |
[5] | MENDES R, KENNEDY J, NEVES J. The fully informed particle swarm: Simpler, maybe better[J]. IEEE Transactions on Evolutionary Computation,2004, 8(3): 204-210. |
[6] | KENNEDY J, MENDES R. Neighborhood topologies in fully-informed and best-of-neighborhood particle swarms [J]. IEEE Transactions on Systems, Man,and Cybernetics, Part C (Applications and Reviews),2006, 36(4): 515-519. |
[7] | SHI Y H, EBERHART R. A modified particle swarm optimizer [C]//Proceedings of the 1998 IEEE International Conference On Evolutionary Computation. Anchorage,AK, USA: IEEE, 1998: 69-73. |
[8] | SHI Y H, EBERHART R C. Fuzzy adaptive particle swarm optimization [C]//Proceedings of the 2001 Congress on Evolutionary Computation. Seoul, South Korea: IEEE, 2001: 101-106. |
[9] | CLERCM, KENNEDYJ. The particle swarm: Explosion,stability, and convergence in a multidimensional complex space [J]. IEEE Transactions on Evolutionary Computation, 2002, 6(1): 58-73. |
[10] | RATNAWEERA A, HALGAMUGE S K, WATSON H C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients [J].IEEE Transactions on Evolutionary Computation,2004, 8(3): 240-255. |
[11] | ZHAN Z H, ZHANG J, LI Y, et al. Adaptive particle swarm optimization [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics),2009, 39(6): 1362-1381. |
[12] | NICKABADI A, EBADZADEHMM, SAFABAKHSH R. A novel particle swarm optimization algorithm with adaptive inertia weight [J]. Applied Soft Computing,2011, 11(4): 3658-3670. |
[13] | ZAHARIS Z D, GRAVAS I P, YIOULTSIS T V, et al. Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation[J]. IEEE Transactions on Magnetics, 2017,53(6): 7204104. |
[14] | YAN X H, HE F Z, HOU N, et al. An efficient particle swarm optimization for large-scale hardware/software co-design system [J]. International Journal of Cooperative Information Systems, 2018, 27(1): 1741001. |
[15] | LI C H, YANG S X, NGUYEN T T. A self-learning particle swarm optimizer for global optimization problems[J]. IEEE Transactions on Systems, Man, and Cybernetics,Part B (Cybernetics), 2012, 42(3): 627-646. |
[16] | TANWEER M R, SURESH S, SUNDARARAJAN N.Self regulating particle swarm optimization algorithm[J]. Information Sciences, 2015, 294: 182-202. |
[17] | MONSON C K, SEPPI K D. The Kalman swarm:A new approach to particle motion in swarm optimization[J]. Lecture Notes in Computer Science, 2004,3102: 140-150. |
[18] | XU Y F, CHEN G C, YU J S. The Kalman particle swarm optimization algorithm and its application in soft-sensor of acrylonitrile yield [M]//Advances in natural computation. Berlin, Germany: Springer, 2006:176-179. |
[19] | M¨AKIL¨A P M, PAATTILAMMI J. Steady-state Kalman-filtering with nonstationary noise [J]. Optimal Control Applications and Methods, 2003, 24(2): 57-71. |
[20] | WU Y L, LIU G, GUO X P, et al. A self-adaptive chaos and Kalman filter-based particle swarm optimization for economic dispatch problem [J]. Soft Computing,2017, 21: 3353-3365. |
[21] | NUMMIARO K, KOLLER-MEIER E, VAN GOOL L.An adaptive color-based particle filter [J]. Image and Vision Computing, 2003, 21(1): 99-110. |
[22] | PEI F J, CUI P Y, CHEN Y Z. AdaptiveMCMC particle filter for nonlinear and non-Gaussian state estimation[C]//Proceedings of the 3rd International Conference on Innovative Computing Information and Control.Dalian, China: IEEE, 2008: 494-494. |
[23] | DOUCET A, FREITAS N D, GORDON N. Sequential Monte Carlo methods in practice [M]. New York, USA:Springer-Verlag, 2001: 106. |
[1] | ZHANG Yuge, GENG Jianqiang, YANG Guangyu, ZHU Supeng, HOU Zhenqian, FU Wenxing. Multi-Missile Cooperative Passive Localization Algorithm Based on IMM-SRCKF for Maneuvering Targets [J]. Air & Space Defense, 2025, 8(2): 58-65. |
[2] | FAN Pengfei, LI Qingbo, LI Zhen, CHEN Chenglin. Research on Guidance Information Extraction Algorithm Based on Radar Relative Measurement [J]. Air & Space Defense, 2025, 8(2): 50-57. |
[3] | HE Qinglin, ZHAO Hongyu, CHEN Yuxuan, HOU Xianghao. Design of Distributed Underwater Acoustic Tracking Algorithm for Aerial Targets Based on CRLB [J]. Air & Space Defense, 2025, 8(1): 86-94. |
[4] | ZHONG Yiming1, YU Caoyang1, 2, XIANG Xianbo2, 3, LIAN Lian1, 4. Motion Prediction of Marine Vehicles Based on Cascaded Filter and Error-Triggered Support Vector Regression [J]. Ocean Engineering Equipment and Technology, 2025, 12(1): 133-140. |
[5] | SUN Xin, WANG Simin, XIE Jingdong, JIANG Hailin, WANG Sen. Improved Transformer-PSO Short-Term Electricity Price Prediction Method Considering Multidimensional Influencing Factors [J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1420-1431. |
[6] | XIA Yang1 (夏杨), REN Guanghui2 (任光辉), WAN Yuan1 (万缘), MAO Xuchu1∗ (茅旭初). Multi-GNSS Fusion Real-Time Kinematic Algorithm Based on Extended Kalman Filter Correction Model for Medium-Long Baselines [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(6): 1191-1201. |
[7] | CUI Xian, CHEN Ziqiang. A Highly Robust State of Health Estimation Method for Lithium-Ion Batteries Based on ECM and SGPR [J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 747-759. |
[8] | DU Ning, WU Shufan, CHEN Zhansheng, CHEN Wenhui, WANG Shiyao, XU Jiaguo, QIN Dongdong. Attitude Planning Method of Satellite Staring Imaging to Aerial Dynamic Target [J]. Journal of Shanghai Jiao Tong University, 2024, 58(4): 411-418. |
[9] | QIAN Leiyuan, QIN Fangjun, LI Kailong, ZHU Tiangao. Robust Adaptive Algorithm Based on SE(3) and Its Application in SINS/DVL [J]. Journal of Shanghai Jiao Tong University, 2024, 58(4): 498-510. |
[10] | TANG Shengjing, WANG Taiyan, ZHAO Ganglian, GUO Jie, LI Jiali, YIN Hang(. Review of Multi-Sensor Data Fusion for Target Tracking [J]. Air & Space Defense, 2024, 7(4): 18-29. |
[11] | SUN Zhiwei, HU Xiong, DONG Kai, SUN Dejian, LIU Yang. RUL Prediction Method for Quay Crane Hoisting Gearbox Bearing Based on LSTM-CAPF Framework [J]. Journal of Shanghai Jiao Tong University, 2024, 58(3): 352-360. |
[12] | CHEN Kun(陈坤), ZHAO Xu(赵旭), DONG Chunyu(董春玉), DI Zichao(邸子超), CHEN Zongzhi(陈宗枝). Anti-Occlusion Object Tracking Algorithm Based on Filter Prediction [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(3): 400-413. |
[13] | JI Yuheng, LI Chuntong, LUO Xiaomeng, YANG Xuelian, WANG Deyu. Layout Optimization Design of Human Machine Interface in Wheelhouse Based on Ergonomics [J]. Journal of Shanghai Jiao Tong University, 2024, 58(2): 201-210. |
[14] | WU Jiang, ZHANG Yan, LIU Zelong, CHENG Gang, LEI Dong, JIAO Chaoyong. State of Charge Estimation of Lithium-Ion Battery Considering Operating Conditions and Aging Degree [J]. Journal of Shanghai Jiao Tong University, 2024, 58(12): 1935-1945. |
[15] | LAI Guoliang, HU Zhaozheng, ZHOU Zhe, WAN Jinjie, REN Jingyuan. Simultaneous Detection and Localization for Intelligent Vehicles Based on HD Map Matching and Semantic Likelihood Model [J]. Journal of Shanghai Jiao Tong University, 2024, 58(10): 1618-1628. |
Viewed | ||||||||||||||||||||||||||||||||||||||||||||||||||
Full text 31
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||
Abstract 739
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||