Fuzzy Approximation of a Novel Nonlinear Adaptive Switching Controller Design

Yu, Lei; Fei, Shumin; Sun, Lining; Huang, Jun; Zhu, Yunlong

doi:10.1007/s00034-014-9866-6

Cited by 18 publications

(4 citation statements)

References 47 publications

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“…In this paper, the switching system scheme is introduced into the filter for the first time, and applied to the large-screen interactive imaging system. A switching system consists of a series of sequential or discrete differential equations subsystems and switching rules or a switching strategy [4,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34]. If the entire filtering process is regarded as a hybrid dynamic system, then each filter algorithm can be regarded as a subsystem of the system.…”

Section: Dynamic Gesture Tracking Algorithm With Switching Federated mentioning

confidence: 99%

Large‐Screen Interactive Imaging System with Switching Federated Filter Method Based on 3D Sensor

Hou

2018

Complexity

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Large-screen human-computer interaction technology is reflected in all aspects of daily life. The dynamic gesture tracking algorithm commonly used in recent large-screen interactive technologies demonstrates compelling results but suffers from accuracy and real-time problems. This paper systematically addresses these issues by a switching federated filter method that combines particle filtering and Mean Shifting algorithms based on a 3D sensor. Compared with several algorithms, the results show that the one-hand and two-hand large-screen gesture tracking based on the switched federated filtering algorithm work well, and there is no tracking failure and loss of target. Therefore, the switching federated tracking positioning algorithm can be well applied to the design of human-computer interaction system and provide new ideas for future human-computer interaction.

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Section: Dynamic Gesture Tracking Algorithm With Switching Federated mentioning

confidence: 99%

Large‐Screen Interactive Imaging System with Switching Federated Filter Method Based on 3D Sensor

Hou

2018

Complexity

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“…Lyapunov functional method is usually used to analyze the stability and designs of switching controller of nonlinear integer-order functional differential equations (systems) [29][30][31][32]. However, at present we have not retrieved any related references in which Lyapunov functional was used to investigate the stability of fractional differential systems with delay.…”

Section: Introductionmentioning

confidence: 97%

Lyapunov method for nonlinear fractional differential systems with delay

et al. 2015

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This paper deals with the stability of nonlinear fractional differential systems with delay. Based on the Lyapunov functional method and the Lyapunov function method, respectively, several stability criteria including Razumikhin-type stability criteria are derived, which are extensions of some existed results of the Hale and Verduyn Lunel (Introduction to functional differential equations. Springer, Berlin, 1993), Aguila-Camacho et al. (Commun Nonlinear Sci Numer Simul 19, 2951-2957 and Zhou et al. (Appl Math Lett 28, 25-29, 2014). In addition, some examples are provided to illustrate the applications of these criteria. Numerical simulations show the validity of our results.

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“…The application of the switching control technology solves the basic problems of a control system. Also, the transient performance of the system is improved, thus meeting the needs of the rapid development of intelligent control (Yu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Contactless interactive control technology based on switching filtering algorithm

Fang

Fei

2020

Transactions of the Institute of Measurement and Control

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In the large-screen interactive system with lidar sensor, due to the low accuracy of the lidar and the instability of the users’ gestures, the system’s recognition and tracking of gesture coordinates cannot be well obtained. Aiming at solving the problems of swaying and drifting gestures of the traditional filtering algorithm with a lidar sensor, this paper proposes a contactless interaction control technology based on switching filtering algorithm, which can realize non-contact high-precision multi-point interaction. The proposed algorithm first recognizes and extracts users’ gestures, and then the gestures are mapped to the screen position. Also, the mouse operation is simulated to realize operations such as selecting, sliding, and zooming in and out. Besides, the algorithm can effectively solve jitter and drift problems caused by scanning defects of radar and instability of the user gesture operations. Experimental results show that by applying the switching filtering algorithm to the contactless human-computer interaction system, the interactive trajectory becomes smoother and more stable compared with the traditional filtering algorithms. The proposed algorithm exhibits excellent accuracy and real-time performance, supporting efficient interaction with multiple people.

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Fuzzy Approximation of a Novel Nonlinear Adaptive Switching Controller Design

Cited by 18 publications

References 47 publications

Large‐Screen Interactive Imaging System with Switching Federated Filter Method Based on 3D Sensor

Large‐Screen Interactive Imaging System with Switching Federated Filter Method Based on 3D Sensor

Lyapunov method for nonlinear fractional differential systems with delay

Contactless interactive control technology based on switching filtering algorithm

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