Intelligent Control Emotion Mechanism Based on Artificial Life

Guo Feng Zhang

doi:10.4028/www.scientific.net/AMM.494-495.1220

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Intelligent Control Emotion Mechanism Based on...

Intelligent Control Emotion Mechanism Based on Artificial Life

Abstract:

The emotion mechanism being introduced to Human-Simulated Intelligent Control algorithm, a fresh Intelligent Control algorithm is proposed, to solve the parameters design and tuning difficulty of the original algorithm. The verification of proposed control algorithm is completed on the car-inverted pendulum simulation platform. After the simulation results of the original and its improved algorithm is compared with, the new control algorithm can be found to obtain better control results with less design parameters. Thus, the suggested idea confirms its feasibility and effectiveness preliminarily.

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Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

1220-1224

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.1220

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Online since:

February 2014

Authors:

Guo Feng Zhang*

Keywords:

Emotion, Intelligent Control, Inverted Pendulum

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* - Corresponding Author

References

[1] Zushu Li, Yaqing Tu. Human-Simulated Intelligent Control, National Defense Industry Press, (2003).

Google Scholar

[2] Siying Zhang, Liqun Gao. Modern Control Theory, Tsinghua University Press, (2006).

Google Scholar

[3] http: /news. dlut. edu. cn/xwzx/dgxw/2010/07/xwzx. dgxw. 1278378157d25561. html.

Google Scholar

[4] Dongwu Liang, Fuzzy Self-Turning of Parameters Online for Human-Simulated Intelligent Controller and its Application in Cart-double Pendulum, M.D. thesis, Chongqing University, (2008).

DOI: 10.4304/jcp.3.9.67-76

Google Scholar

[5] Gang. Yang. Model Parameters Accurate Identification of Cart Triple-pendulum System and its Swing up and Handstand Controller Design and Parameters Tuning, M.D. thesis. Chongqing University, (2008).

Google Scholar

[6] Yuqing. Liu, Application of Optimization of HSIC Parameter Based on Particle Swarm Optimization, M. D. thesis, Chongqing University, (2007).

Google Scholar

[7] Yixu. Song, Peifa Jia. Artificial emotion and its applications [J]. Control Theory & Applications, 2004 21(2) 315-320.

Google Scholar

[8] Yinghui Zhang, Xueyan Lin. Affect is computable—a survey on affective computing [J]. Computer Science, 2008 35(5) 5-8.

Google Scholar

[9] Xiuli Zhang, Haojun Zheng. Ken Chen, Research on robotic bionics [J]. Robot, 2002 24(2), 188-192.

Google Scholar

[10] Guofeng Zhang, Zushu Li. Emotion mechanism of uncertainty behavior selection [J]. Computer Science, 2011 38(5) 252-257.

Google Scholar

[11] SaoKang Li. Control Engineering Foundation, Xi'an：Northwestern Polytechnical University Press，2005, p.44.

Google Scholar

[12] Googol Technology (Shenzhen) Co., Ltd, Inverted Pendulum and Automatic Control Theory Experiment, (2005).

Google Scholar