Design and experimental research of observer-based adaptive type-2 fuzzy steering control for automated vehicles with prescribed performance

Digital games offer rich media content and engaging action, accessible individually or in groups collaborating or competing against each other. This makes them promising for use as a stimulus in research settings. This paper examines the advantages and challenges of using games in experimental research with particular focus on strict stimulus control through the following four areas: (1) matching and regulating task type, (2) data segmentation and event coding, (3) compatibility between participants, and (4) planning and conducting data collection. This contribution provides a breakdown of the steps necessary for using a digital game in experimental studies, along with a checklist for researchers illustrating variables that potentially affect the reliability and validity of experiments. We also offer a study example to illustrate how these considerations apply to practice. The aim is to provide support to researchers planning and conducting empirical experiments involving games, and also to those evaluating the works of others.

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On the steering control of automated vehicles

Proceedings of Conference on Intelligent Transportation Systems ◽

10.1109/itsc.1997.660486 ◽

2002 ◽

Cited By ~ 4

Author(s):

A. Hemami ◽

M. Mehrabi

Keyword(s):

Steering Control ◽

Automated Vehicles

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Modeling Post-takeover Avoidance and Stabilization Steering Control in Automated Vehicles

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641483 ◽

2020 ◽

Vol 64 (1) ◽

pp. 1999-2000

Author(s):

Hananeh Alambeigi ◽

Anthony McDonald

Keyword(s):

Steering Control ◽

Automated Vehicles

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A Type-2 Fuzzy Approach to Driver-Automation Shared Driving Lane Keeping Control of Semi-autonomous Vehicles under Imprecise Premise Variable

10.21203/rs.3.rs-814651/v1 ◽

2021 ◽

Author(s):

Yue Liu ◽

Qing Xu ◽

Hongyan Guo ◽

Hui ZHANG

Keyword(s):

Control System ◽

Control Method ◽

Fuzzy Controller ◽

System Stability ◽

Linear Matrix ◽

Direct Lyapunov Method ◽

Steering Control ◽

Driving Model ◽

Lane Keeping

Abstract The driver-automation shared driving is a transition to fully-autonomous driving, in which human driver and vehicular controller cooperatively share the control authority. This paper investigates the shared steering control of semiautonomous vehicles with uncertainty from imprecise parameter. By considering driver’s lane-keeping behaviour on the vehicle system, a driver-automation shared driving model is introduced for control purpose. Based on the interval type-2 (IT2) fuzzy theory, moreover, the driver-automation shared driving model with uncertainty from imprecise parameter is described using an IT2 fuzzy model. After that, the corresponding IT2 fuzzy controller is designed and a direct Lyapunov method is applied to analyze the system stability. In this work, sufficient design conditions in terms of linear matrix inequalities are derived, to guarantee the closed-loop stability of the driver-automation shared control system. Meanwhile, an H ∞ performance is studied to ensure the robustness of the control system. Finally, simulationbased results are provided to demonstrate the performance of the proposed control method. Furthermore, an existing type-1 fuzzy controller is introduced as comparison, to verify the superiority of the proposed IT2 fuzzy controller.

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