Relevant bibliographies by topics / Sideslip estimation

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Sideslip estimation'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Sideslip estimation"

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Fan, Xiao Bin, and Pan Deng. "Study of Vehicle Sideslip Angle Real-Time Estimation Method." Advanced Materials Research 846-847 (November 2013): 26–29. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.26.

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In the vehicle stability control and other active safety systems, vehicle sideslip angle real-time estimation is necessary. However, the direct measurement of sideslip angle is more difficult or too costly, so it is often used in estimating methods. The vehicle sideslip angle of closed-loop Luenberger observer and Kalman observer were constructed based on two degrees of freedom bicycle model, as well as the direct integration method for large sideslip angle conditions. The comparative study showed that Kalman filtering estimation method and Luenberger estimation methods have better estimation
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Singh, Kanwar Bharat. "Virtual sensor for real-time estimation of the vehicle sideslip angle." Sensor Review 40, no. 2 (2019): 255–72. http://dx.doi.org/10.1108/sr-11-2018-0300.

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Purpose The vehicle sideslip angle is an important state of vehicle lateral dynamics and its knowledge is crucial for the successful implementation of advanced driver-assistance systems. Measuring the vehicle sideslip angle on a production vehicle is challenging because of the exorbitant price of a physical sensor. This paper aims to present a novel framework for virtually sensing/estimating the vehicle sideslip angle. The desired level of accuracy for the estimator is to be within +/− 0.2 degree of the actual sideslip angle of the vehicle. This will make the precision of the proposed estimato
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Chen, Te, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, and Xiaoqiang Sun. "Reliable Sideslip Angle Estimation of Four-Wheel Independent Drive Electric Vehicle by Information Iteration and Fusion." Mathematical Problems in Engineering 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/9075372.

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Accurate estimation of longitudinal force and sideslip angle is significant to stability control of four-wheel independent driven electric vehicle. The observer design problem for the longitudinal force and sideslip angle estimation is investigated in this work. The electric driving wheel model is introduced into the longitudinal force estimation, considering the longitudinal force is the unknown input of the system, the proportional integral observer is applied to restructure the differential equation of longitudinal force, and the extended Kalman filter is utilized to estimate the unbiased l
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Wei, Wang, Bei Shaoyi, Zhang Lanchun, Zhu Kai, Wang Yongzhi, and Hang Weixing. "Vehicle Sideslip Angle Estimation Based on General Regression Neural Network." Mathematical Problems in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/3107910.

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Aiming at the accuracy of estimation of vehicle’s mass center sideslip angle, an estimation method of slip angle based on general regression neural network (GRNN) and driver-vehicle closed-loop system has been proposed: regarding vehicle’s sideslip angle as time series mapping of yaw speed and lateral acceleration; using homogeneous design project to optimize the training samples; building the mapping relationship among sideslip angle, yaw speed, and lateral acceleration; at the same time, using experimental method to measure vehicle’s sideslip angle to verify validity of this method. Estimati
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Xia, Qiu, Long Chen, Xing Xu, et al. "Running States Estimation of Autonomous Four-Wheel Independent Drive Electric Vehicle by Virtual Longitudinal Force Sensors." Mathematical Problems in Engineering 2019 (June 9, 2019): 1–17. http://dx.doi.org/10.1155/2019/8302943.

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Exact sideslip angle estimation is significant to the dynamics control of four-wheel independent drive electric vehicles. It is costly and difficult-to-popularize to equip vehicular sensors for real-time sideslip angle measurement; therefore, the reliable sideslip angle estimation method is investigated in this paper. The electric driving wheel model is proposed and applied to the longitudinal force estimation. Considering that electric driving wheel model is a nonlinear model with unknown input, an unknown input estimation method is proposed to facilitate the longitudinal force observer desig
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Righetti, Giovanni, and Basilio Lenzo. "A Combined Dynamic–Kinematic Extended Kalman Filter for Estimating Vehicle Sideslip Angle." Applied Sciences 15, no. 3 (2025): 1365. https://doi.org/10.3390/app15031365.

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In modern automotive engineering, accurate vehicle sideslip angle estimation is crucial for enhancing vehicle safety, performance, and driver comfort. This paper addresses the challenge of estimating sideslip angle, an essential parameter for advanced driver-assistance systems (ADAS) and autonomous driving technologies. This study introduces a combined dynamic–kinematic extended Kalman filter (DK-EKF) approach that leverages the strengths of both kinematic and dynamic models while mitigating their individual limitations. The proposed DK-EKF enhances observability in low yaw rate conditions, a
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Chen, Te, Long Chen, Xing Xu, Yingfeng Cai, Haobin Jiang, and Xiaoqiang Sun. "Sideslip Angle Fusion Estimation Method of an Autonomous Electric Vehicle Based on Robust Cubature Kalman Filter with Redundant Measurement Information." World Electric Vehicle Journal 10, no. 2 (2019): 34. http://dx.doi.org/10.3390/wevj10020034.

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Accurate and reliable estimation information of sideslip angle is very important for intelligent motion control and active safety control of an autonomous vehicle. To solve the problem of sideslip angle estimation of an autonomous vehicle, a sideslip angle fusion estimation method based on robust cubature Kalman filter and wheel-speed coupling relationship is proposed in this paper. The vehicle dynamics model, tire model, and wheel speed coupling model are established and discretized, and a robust cubature Kalman filter is designed for vehicle running state estimation according to the discrete
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Singh, Kanwar Bharat. "Vehicle Sideslip Angle Estimation Based on Tire Model Adaptation." Electronics 8, no. 2 (2019): 199. http://dx.doi.org/10.3390/electronics8020199.

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Information about the vehicle sideslip angle is crucial for the successful implementation of advanced stability control systems. In production vehicles, sideslip angle is difficult to measure within the desired accuracy level because of high costs and other associated impracticalities. This paper presents a novel framework for estimation of the vehicle sideslip angle. The proposed algorithm utilizes an adaptive tire model in conjunction with a model-based observer. The proposed adaptive tire model is capable of coping with changes to the tire operating conditions. More specifically, extensions
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Zhang, Chuanwei, Yansong Feng, Jianlong Wang, Peng Gao, and Peilin Qin. "Vehicle Sideslip Angle Estimation Based on Radial Basis Neural Network and Unscented Kalman Filter Algorithm." Actuators 12, no. 10 (2023): 371. http://dx.doi.org/10.3390/act12100371.

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Most existing ESC (electronic stability control) and ADS (auto drive system) stability controls rely on the measurement of yaw rate and sideslip angle. However, the existing sensors are too expensive, which is one of the factors that makes it difficult to measure the side slip angle of vehicles directly. Therefore, the estimation of sideslip angle has been extensively discussed in the relevant literature. Accurate modeling is complicated by the fact that vehicles are highly nonlinear. This article combines a radial basis function neural network with an unscented Kalman filter to propose a new
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Popowski, Stanisław, and Witold Dąbrowski. "MEASUREMENT AND ESTIMATION OF THE ANGLE OF ATTACK AND THE ANGLE OF SIDESLIP." Aviation 19, no. 1 (2015): 19–24. http://dx.doi.org/10.3846/16487788.2015.1015293.

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The paper presents issues concerning the estimation of the angle of attack and the angle of sideslip on a flying object board. Angle of attack and sideslip estimation methods which are based on measurements of linear velocity components of an object with the Earth’s coordinates and on attitude angles of the object are presented. Both of these measurements originate from the inertial navigation system, and velocity measurement is obtained from the satellite navigation system. The idea of applying inertial and satellite navigation for the estimation of attack and sideslip angles is presented. Pr
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Dissertations / Theses on the topic "Sideslip estimation"

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GHOSH, JYOTISHMAN. "State Estimation and Control of Active Systems for High Performance Vehicles." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2675273.

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In recent days, mechatronic systems are getting integrated in vehicles ever more. While stability and safety systems such as ABS, ESP have pioneered the introduction of such systems in the modern day car, the lowered cost and increased computational power of electronics along with electrification of the various components has fuelled an increase in this trend. The availability of chassis control systems onboard vehicles has been widely studied and exploited for augmenting vehicle stability. At the same time, for the context of high performance and luxury vehicles, chassis control systems offer
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Alatorre, Vazquez Angel Gabriel. "Robust estimation of dynamics behavior and driving diagnosis applied to an intelligent MAGV." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2554.

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Cette thèse présente une série de stratégies pour estimer la dynamique des véhicules. Le but de ce travail est de développer une stratégie d'observation qui peut être appliquée aux véhicules de série. L'idée d'avoir un algorithme dans une voiture produite en série pose un grand nombre de défis,' ceux que nous considérons dans ce travail sont la robustesse et le coût. Nous avons proposé des modèles et des stratégies d'observateurs capables de faire face à des niveaux d'excitation élevés et faibles. Nous avons validé la robustesse de l'algorithme avec de nombreux tests, des petites pistes à faib
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BRANDL, ALBERTO. "Techniques for effective virtual sensor development and implementation with application to air data systems." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2842493.

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Baffet, Guillaume. "Développement et validation expérimentale d’observateurs des forces du contact pneumatique/chaussée d’une automobile." Compiègne, 2007. http://www.theses.fr/2007COMP1695.

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La connaissance de la dynamique d'un véhicule et de son environnement est un enjeu majeur. L'objectif de cette thèse est de développer des observateurs d'état permettant d'estimer des variables liées à l'adhérence du contact pneumatique/chaussée. Différentes méthodes d'observation sont proposées afin de reconstruire les efforts des pneumatiques et l'angle de dérive d'une automobile. Ces algorithmes d'estimation sont conçus pour être fonctionnels en cas de situation de conduite critique, notamment lors de fortes accélérations latérales ou lorsque l'adhérence de la chaussée varie. Outre une desc
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Book chapters on the topic "Sideslip estimation"

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Tristano, Mariagrazia, and Basilio Lenzo. "A Parametric Interpolation-Based Approach to Sideslip Angle Estimation." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_40.

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AbstractVehicle sideslip angle has always been of interest for stability controls enhancing vehicle safety. As well-known, measuring sideslip is impractical and expensive, motivating techniques to estimate it using already-available vehicle sensors. This paper proposes a new methodology to estimate sideslip angle, separating kinematic and dynamic sideslip angle contributions with the idea that the former is straightforward and the latter may be obtained with a lateral-acceleration-based interpolation. The proposed approach is validated through experimental data on a passenger vehicle.
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Kwon, Baek-soon, and Kyongsu Yi. "Vehicle Sideslip Angle Estimation Using Disturbance Observer." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_181.

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Puščul, Dženana, Martin Schabauer, and Cornelia Lex. "The Influence of Transient Tire Force Transmission on Sideslip Angle Estimation." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_136.

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AbstractKnowledge of the sideslip angle is significant in development, testing and validation of advanced driver assistance systems and vehicle control systems, to enhance vehicle performance and stability. This article investigates the influence of having additional information about transient tire behavior during estimation of the sideslip angle. Since transient behavior depends on the dynamic excitation, the effect during different driving maneuvers (excitations) such as steady-state cornering, slalom and general handling as well as on different road surfaces is investigated. The results sh
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D’Avico, Luca, Fabio Carbone, Lucas Baudry, Fabrizio Forni, Pietro Caresia, and Gerardo Amato. "A Yaw Rate Based Stability Control Tuning via Virtual Methods." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_84.

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AbstractElectronic Stability Control (ESC) allows to prevent safety-critical scenarios and vehicle sideslip angle estimation plays a crucial role in such applications. Time to market and safety concerns in the development and validation of such algorithms are leading the automotive industry towards virtual methods. The recent introduction of driving simulator technologies on vehicle development process allows to develop calibrate and test in advance virtual prototypes of full vehicle and its controls obtaining objective and subjective evaluation during the early stage of the vehicle developmen
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Antunes, André, Carlos Cardeira, and Paulo Oliveira. "Application of Sideslip Estimation Architecture to a Formula Student Prototype." In ROBOT 2017: Third Iberian Robotics Conference. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70836-2_34.

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Yang, Guibing, Chunguang Liu, and Dingzhe Qin. "Estimation of Electric Drive Vehicle Sideslip Angle Based on EKF." In Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49367-0_67.

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Ponticelli, Lorenzo, Mario Barbaro, Geraldino Mandragora, Andrea Stefanelli, and Gonçalo Sousa Torres. "Comparison of Model-Based Techniques for Vehicle Sideslip Angle Estimation." In Mechanisms and Machine Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64569-3_47.

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Pieralice, Cristiano, Basilio Lenzo, Francesco Bucchi, and Marco Gabiccini. "Vehicle Sideslip Angle Estimation Using Kalman Filters: Modelling and Validation." In Mechanisms and Machine Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03320-0_12.

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Cheli, F., D. Ivone, and E. Sabbioni. "Smart Tyre Induced Benefits in Sideslip Angle and Friction Coefficient Estimation." In Sensors and Instrumentation, Volume 5. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15212-7_9.

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Gai, Jiangtao, Yue Ma, Xuzhao Hou, Gen Zeng, and Shumin Ruan. "Research on Sideslip Angle Estimation and Prediction for Electric Tracked Vehicle." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6226-4_57.

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Conference papers on the topic "Sideslip estimation"

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Suo, Yanru, Dang Lu, Haidong Wu, Yandong Zhang, and Tao Zhou. "Tire-Road Friction Coefficient Estimation of Sideslip-Camber Combined Situation." In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring). IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683382.

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Wu, Zhongtao, Lilin Shen, Shuo Bai, Fengwei Dong, and Guodong Yin. "Estimation of Vehicle Sideslip Angle and Tire Cornering Stiffness Considering Mass Mismatch." In 2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, 2024. https://doi.org/10.1109/cvci63518.2024.10830268.

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Li, Zhaonan, Zheng Zhu, Xiangyu Wang, Liang Li, Ruochen Wang, and Zhixian Fan. "Fault-Tolerant Sideslip Angle Estimation for Four-Wheel Distributed Drive and Brake Vehicle." In 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN). IEEE, 2024. https://doi.org/10.1109/indin58382.2024.10774219.

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Wu, Chi-Sheng, and Bo-Chiuan Chen. "Sideslip Angle Estimation Based on a Kinematics Model Using An Unscented Kalman Filter." In 2024 IEEE SENSORS. IEEE, 2024. https://doi.org/10.1109/sensors60989.2024.10784476.

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Zhang, Miao, Jiangbo Zhao, and Junzheng Wang. "Fusion Estimation Method for Vehicle Centroid Sideslip Angle Based on Adaptive Square-Root Cubature Kalman Filtering." In 2024 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10839923.

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Ward, Timothy, Sourish Mukherjee, Shane P. Windsor, and Sergio A. Araujo-Estrada. "Aerodynamic State Estimation of a Bio-Inspired Distributed Sensing UAV at High Angles of Attack and Sideslip." In 2025 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2025. https://doi.org/10.1109/icuas65942.2025.11007802.

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Moreno, Luis Aiquipa, Marco Rodriguez Adriano, Katherine Roman Meza, Juan Villanueva Orellana, Felixjesus Ramirez Tarazona, and Roxana Pastrana Alta. "Trajectory simulation of a parafoil system with a ground launch device with negligible mass based on sideslip angle estimation with PID control." In 2024 IEEE International Conference on Aerospace and Signal Processing (INCAS). IEEE, 2024. https://doi.org/10.1109/incas63820.2024.10798553.

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Huang, Jihua. "Vehicle State Estimation for Rollover Avoidance." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66730.

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To enhance vehicle/road safety, rollover warning and control systems have received considerable research interest in recent years, especially for vehicles with high center of gravity (CG). Accurate and reliable estimates of the relevant vehicle states facilitate the design of such systems. This paper investigates the state estimation for rollover avoidance, in which the relevant states include vehicle roll velocity and roll angle, as well as sideslip velocity and yaw velocity. The main challenge of the design comes from the fact that, under near-rollover situations, vehicle dynamics is complex
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Zha, Jingqiang, Junmin Wang, Min Li, Xin Zhang, and Xiao Yu. "Structured Robust Linear Parameter-Varying Vehicle Sideslip Angle Estimation." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9021.

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Abstract Non-smooth structured robust controller design has drawn a lot of attention recently due to its ability to deal with uncertainty and its convenience for implementation. In this paper, the method is extended to design the structured robust linear parameter-varying (LPV) estimator by pulling out scheduling variables from estimator using linear fractional transformation (LFT). The structured robust LPV estimator is then applied to vehicle sideslip angle estimation. Both the measured vehicle speed and estimated tire cornering stiffness are treated as scheduling variables to further reduce
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Zhao, Wenrui, Bo Leng, Yinfeng Han, Zhuoping Yu, and Lu Xiong. "Nonlinear Joint Dynamic Estimator of Sideslip Angle and Tire-Road Peak Adhesion Coefficient Based on Improved Brush Tire Model." In SAE 2024 Intelligent and Connected Vehicles Symposium. SAE International, 2024. https://doi.org/10.4271/2024-01-7033.

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<div class="section abstract"><div class="htmlview paragraph">The sideslip angle and tire-road peak adhesion coefficient (TRPAC) are crucial parameters for intelligent active safety systems in automobiles. The accuracy and real-time estimation of these parameters significantly affect control effectiveness. And there is a strong coupling between the two parameters, which brings great challenges to the joint estimation. This paper proposes a nonlinear dynamic estimator that pre-estimates tire lateral force to achieve synchronous estimation of sideslip angle and TRPAC. Additionally, t
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Reports on the topic "Sideslip estimation"

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Spilimbergo, Antonio. Testing the Hypothesis of Collusive Behavior Among Organization of the Petroleum Exporting Countries (OPEC) Members. Inter-American Development Bank, 1995. http://dx.doi.org/10.18235/0011610.

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This paper presents a test to discriminate among behaviors of producers of exhaustible resources. The behavior of a competitive producer of an exhaustible resource should follow an Euler equation. The existence of futures markets allows us to sidestep the difficult issues related to estimating future prices and demand. This theoretical framework is used to test the hypothesis of collusive Organization of the Petroleum Exporting Countries (OPEC) behavior between 1983 and 1991.
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