Improved H ∞ Filtering for Systems with a Time-Varying Delay

He, Yong; Liu, Shuai; Rees, D.; Wu, Min

doi:10.1007/s00034-010-9149-9

Cited by 12 publications

(4 citation statements)

References 35 publications

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“…In Wang and Nguang, 26 a mixed Kalman/ H ∞ filtering was proposed for the multi-target video tracking. For the frequently encountered time-delay owing to measurement, transmission and computational delays, an H ∞ filtering was considered in He et al 27 But, the robustness for restraining some serious disturbances has not been considered fully, which will cause a bad performance when there exist some measurement and driving behavior disturbances.…”

Section: Introductionmentioning

confidence: 99%

An innovative method for scene recognition and target tracking for adaptive cruise control in complex traffic environment

Zhang

Liu

Wang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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The adaptive cruise control (ACC) system as a typical advanced driver assistant system (ADAS) has been commercially application in automotive industry for decades. An innovative method is proposed in this paper for scene recognition and target tracking for ACC application in some complex traffic environment. Firstly, a multi-sensor fusion method is established to estimate the curvature integrated by the quadratic programing (QP)-based lane boundaries detection, vehicle dynamics of lateral motion, and an improved Kalman filter (IKF) to introduce more measurement information into the feedback correction process. Then, the closet in-path vehicle (CIPV) can be selected according to the statistical distance between the tracked targets and the predicted driving path of ego vehicle. To distinguish the lane changing and curve driving behaviors, the trajectory models of obstacles are established as an ellipsoid domain equation and transformed into a regression model, which is recast as a standardized QP problem. Hence, the behaviors and scenes can be recognized effectively. To restrain the disturbance and improve the accuracy and robustness of target tracking, an [Formula: see text]-based switched tracking method is proposed by combining of the low pass filter (LPF) and [Formula: see text] theory. Finally, an accurate and robust tracker is provided for the CIPV by incorporating with four steps: IKF-based curvature fusion estimation, CIPV selection, QP-based scene recognition, and the [Formula: see text]-based observer. Moreover, two real car experiments are adopted and the results verify the effectiveness and real-time performance of the proposed method.

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Section: Introductionmentioning

confidence: 99%

An innovative method for scene recognition and target tracking for adaptive cruise control in complex traffic environment

Zhang

Liu

Wang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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show abstract

“…However, in some practical applications, to achieve some desired objectives, it is needed to know the neurons state information or estimate it in advance [7]. And the design of filter, which aims to estimate the states of a system via its output measurement, provides a method for the above problems.…”

Section: Introductionmentioning

confidence: 99%

Improved GeneralizedH2Filtering for Static Neural Networks with Time-Varying Delay via Free-Matrix-Based Integral Inequality

2018

Mathematical Problems in Engineering

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This paper focuses on the generalized 2 filtering of static neural networks with a time-varying delay. The aim of this problem is to design a full-order filter such that the filtering error system is globally asymptotically stable with guaranteed 2 performance index. By constructing an augmented Lyapunov-Krasovskii functional and applying the free-matrix-based integral inequality to estimate its derivative, an improved delay-dependent condition for the generalized 2 filtering problem is established in terms of LMIs. Finally, a numerical example is presented to show the effectiveness of the proposed method.

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“…This system can be found in some process control and dynamics process system [5][6][7]. Some researches in the field of filter design are also considered of robust system analysis [1], [8][9][10]. Filter design system on previous researches are mostly continous system.…”

Section: Introduction *mentioning

confidence: 99%