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Road profile estimation for suspension system based on the minimum model error criterion combined with a Kalman filter

机译：基于最小模型误差标准的悬架系统的道路轮廓估计与卡尔曼滤波器相结合

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Liang Gu; Zhen Feng Wang; Ming Ming Dong; Ye Chen Qin;
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1. Vehicle state estimation based on Minimum Model Error criterion combining with Extended Kalman Filter [J] . Liu Wei, He Hongwen, Sun Fengchun Journal of the Franklin Institute . 2016,第4期

机译：基于最小模型误差准则和扩展卡尔曼滤波的车辆状态估计
2. Simultaneous estimation of state and unknown road roughness input for vehicle suspension control system based on discrete Kalman filter [J] . Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering . 2020,第6期

机译：基于离散卡尔曼滤波器的车辆悬架控制系统状态和未知路粗糙度输入的同时估计
3. State Estimation Based on Sigma Point Kalman Filter for Suspension System in Presence of Road Excitation Influenced by Velocity of the Car [J] . Chi Nguyen Van Journal of control science and engineering . 2019,第PTa1期

机译：基于Sigma点卡尔曼滤波器在悬架系统存在下基于Sigma Point Kalman滤波器的道路激励受到速度的影响
4. Road profile estimation for semi-active suspension using an adaptive Kalman filter and an adaptive super-twisting observer [C] . Yechen Qin, Reza Langari, Zhenfeng Wang, American Control Conference . 2017

机译：使用自适应卡尔曼滤波器和自适应超扭曲观测器的半主动悬架道路轮廓估计
5. Proportional Integral Kalman Filters for Linear Stochastic Systems with Modeling Errors [D] . Lichtman, Sarah. 2019

机译：具有建模误差的线性随机系统的比例积分卡尔曼滤波器
6. A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in Highly Non-linear Systems [O] . Muhammad Adeel Akram, Peilin Liu, Muhammad Owais Tahir, 2019

机译：基于卡尔曼滤波和鲁棒估计理论的高度非线性系统多源信息融合状态优化模型
7. A Linear Multi-User Detector for STBC MC-CDMA Systems based on the Adaptive Implementation of the Minimum-Conditional Bit-Error-Rate Criterion and on Genetic Algorithm-assisted MMSE Channel Estimation [O] . DOrazio Leandro, Sacchi Claudio, Donelli Massimo, 2008

机译：基于最小条件误码率准则的自适应实现和遗传算法辅助的MMSE信道估计的STBC MC-CDMA系统线性多用户检测器

Road profile estimation for suspension system based on the minimum model error criterion combined with a Kalman filter

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