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ZG control of Populations of Lotka-Volterra Equations Using Interaction Coefficients as Inputs

ZG Control of Populations of Lotka-Volterra Equations Using ...

引用

IEEE International Conference on Computational Science and Engineering, CSE

作者： Yunong Zhang Yinyan Zhang Dechao Chen Zhengli Xiao Hongzhou Tan School of Information Science and Technology Sun Yat-sen University (SYSU) Guangzhou China SYSU-CMU Shunde International Joint Research Institute Shunde China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou China

ISBN: (纸本)9781479979820

Lotka-Volterra equations describe the population relationship between two species, i.e., predator and prey. In many circumstances, it is necessary to introduce a control method into such a predator-prey system. Different from traditional methods, by applying Zhang-gradient (ZG) method and using interaction coefficients of Lotka-Volterra equations as inputs, the population control problem of the predator-prey system is solved in this paper. Besides, various coefficient controllers according to the ZG method for different control purposes based on the predator-prey system are designed. In addition, simulation results substantiate the effectiveness of the ZG coefficient controllers.

关键词： Trajectory Sociology Statistics Mathematical model Equations Simulation Predator prey systems

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From Newton Fractals to Gradient Fractals in Addition to Zhang Fractals

From Newton Fractals to Gradient Fractals in Addition to Zha...

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IEEE International Conference on Computational Science and Engineering, CSE

作者： Yunong Zhang Tianjian Qiao Bolin Liao Long Jin Junwei Chen School of Information Science and Technology Sun Yat-sen University (SYSU) Guangzhou China SYSU-CMU Shunde International Joint Research Institute Shunde China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou China

ISBN: (纸本)9781479979820

The paper employs gradient dynamics (GD), in addition to Zhang dynamics (ZD), to generate new fractals which are quite different from the conventional Newton fractals (NF). The proposed gradient fractals (GF) have three types. Specifically, via appropriate iterative formulas derived in complex domain, the first-type and second-type fractals are generated, i.e., 1GF and 2GF. By expanding the conventional gradient formula from real domain to complex domain, the third-type fractals are thus obtained, i.e., 3GF. Besides, Zhang fractals (ZF) are yielded via solving static and time-variant equations using ZD. Numerical experiments substantiate the effectiveness of complex-valued GD and ZD for generating new fractals. Connections and differences among NF, GF and ZF are also revealed.

关键词： Fractals Noise measurement Nonlinear equations Educational institutions Logic gates Conferences

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Power-Activated WASD Neuronet Based Russian Population Estimation, Correction, and Prediction

Power-Activated WASD Neuronet Based Russian Population Estim...

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IEEE International Conference on Computational Science and Engineering, CSE

作者： Yunong Zhang Jianxi Liu Dongsheng Guo Sitong Ding Hongzhou Tan School of Information Science and Technology Sun Yat-sen University (SYSU) Guangzhou China SYSU-CMU Shunde International Joint Research Institute Shunde China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou China

ISBN: (纸本)9781479979820

In recent years, the serious situation of Russian population causes concerns of the government, which also attracts great attentions of researchers from all over the world. The research on Russian population can help the government to make positive policies for solving the crisis and boosting economic growth. In this paper, implicitly considering almost all factors that influence population development, we present a 3-layer feed forward power-activated neuronet (PAN) equipped with the weights-and-structure-determination (WASD) algorithm for the estimation, correction and prediction of Russian population. Many numerical tests are conducted via WASD-PAN using past 2013-year Russian population data. We estimate the Russian population from 1000AD to 1800AD, correct it around 1897AD, and further indicate several possibilities of Russian population in the future. With the most possibility, Russian population is predicted to decrease steadily in next decade, while it is still possible that Russian population will (finally) increase.

关键词： Sociology Statistics Market research Estimation Neurons Data models Educational institutions

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Acceleration-Level Minimum Kinetic Energy (MKE) Scheme Derived via Ma Equivalence for Motion Planning of Redundant Robot Manipulators

Acceleration-Level Minimum Kinetic Energy (MKE) Scheme Deriv...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Dongsheng Guo Keke Zhai Zhengli Xiao Hongzhou Tan Yunong Zhang Ministry of Education Key Laboratory of Autonomous Systems and Networked Control Guangzhou China SYSU-CMU Shunde International Joint Research Institute Shunde China School of Information Science and Technology Sun Yat-sen University (SYSU) Guangzhou China

ISBN: (纸本)9781479970063

By following Ma et al's inspiring work (or termed, Ma equivalence), this paper proposes and investigates an acceleration-level minimization scheme for motion planning of redundant robot manipulators. Such a scheme depicted in the pseudo inverse-type formulation can achieve the purpose of the minimum kinetic energy (MKE) redundancy resolution originally at the joint-velocity level, and is thus termed the acceleration-level MKE scheme. In other words, the equivalence (i.e., Mathematical equivalence, or generalized Ma equivalence) of MKE redundancy resolution at different levels is presented and discussed in this paper. Simulation results based on PUMA560 robot manipulator further substantiate the equivalence between the proposed acceleration-level MKE scheme and its original one (at the joint-velocity level).

关键词： Acceleration Manipulators Redundancy Joints Planning Trajectory

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Restoration of missing time-series data via multiple sine functions decomposition with Guangzhou-temperature application

Restoration of missing time-series data via multiple sine fu...

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International Conference on systems and Informatics (ICSAI)

作者： Yunong Zhang Weixiang Ding Wenchao Lao Ying Wang Hongzhou Tan Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou China SYSU-CMU Shunde International Joint Research Institute Shunde China School of Information Science and Technology Sun Yat-sen University (SYSU) Guangzhou China

ISBN: (纸本)9781479954599

The restoration of missing data is an important concern for data analysis. In this paper, an algorithmically innovative model termed multiple sine function decomposition (MSFD) model is proposed and developed for restoring the missing data about monthly average temperature (MAT) of Guangzhou, which is a representative major city of China. The proposed MSFD model is formed by successive approximation based on the existing data. After that, the MSFD model with parameters and structure determined is exploited to restore the missing data. Experimental results indicate that the proposed MSFD model can effectively estimate the intentionally removed data, and the values of the restored data are quite close to the values of the true data. In addition, with quantitative and qualitative analysis, the effectiveness of the proposed model is further illustrated.

关键词： Data models Temperature distribution Analytical models Function approximation Yttrium Approximation algorithms

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Implementation and test of human-operated and human-like adaptive impedance controls on Baxter robot

Implementation and test of human-operated and human-like ada...

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15th Annual Conference on Advances in autonomous Robotics systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

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Communication and control co-design for wireless sensor networked control systems

Communication and control co-design for wireless sensor netw...

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World Congress on Intelligent control and Automation (WCICA)

作者： Jinna Li Peng Zeng Xuejun Zong Meng Zheng Xiaoling Zhang Lab of Operation and Control Shenyang Shenyang University of Chemical Technology Liaoning P. R. China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Liaoning P. R. China College of Information Engineering Shenyang University of Chemical Technology Liaoning P.R. China

This paper is concerned with communication and control co-design for wireless sensor networked control system (WSNCS) with time-varying delay. Jointly designing communication and control is an attractive paradigm for WSNCS, since the control performance of WSNCS is high sensitive to resource-constrained communication networks. The main idea of devised scheme is searching an optimal event-triggered transmission condition on the premise that wireless link capacity constraint is satisfied and stability of systems is guaranteed. The main aim of devised scheme is to greatly optimize control performance of WSNCS. First, two wireless network architectures characterized by multi-hop and star topology are put forward. Secondly, a model of WSNCS with event-triggered transmission mechanism is constructed. It is followed by stability analysis of WSNCS to obtain the asymptotical stability condition of systems. And then a search algorithm is presented for communication and control co-design. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.

关键词： Wireless sensor networks Wireless communication networked control systems Spread spectrum communication Network topology Topology

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A novel hybrid optimization method of shuffled frog leaping algorithm and particle swarm optimization

A novel hybrid optimization method of shuffled frog leaping ...

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2nd International Conference on key Engineering Materials and Computer Science, KEMCS 2013

作者： Lin, Meijin Luo, Fei Xu, Yuge Luo, Long Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and Technology South China University of Technology Gangdong Guangzhou 510641 China Foshan university Guangdong Foshan 528000 China

ISBN: (纸本)9783037857274

Shuffled frog leaping algorithm (SFLA) is a meta-heuristic algorithm, which combines the social behavior technique and the global information exchange of memetic algorithms. But the SFLA has the shortcoming of low convergence speed while solving complex optimization problems. Particle swarm optimization (PSO) is a fast searching algorithms, but easily falls into the local optimum for the diversity scarcity of particles. In the paper, a new hybrid optimization called SFLA-PSO is proposed, which introduced PSO to SFLA by combining the fast search strategy of PSO and global search strategy of SFLA. Six benchmark functions are selected to compare the performance of SFLA-PSO, basic PSO, wPSO and SFLA. The simulation results show that the proposed algorithm SFLA-PSO possesses outstanding performance in the convergence speed and the precision of the global optimum solution. © (2013) Trans Tech Publications, Switzerland.

关键词： Particle swarm optimization (PSO)

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Improved vision-based algorithm for unmanned aerial vehicles autonomous landing

Improved vision-based algorithm for unmanned aerial vehicles...

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2nd International Conference on Innovation Manufacturing and Engineering Management, IMEM 2012

作者： Zhao, Yunji Pei, Hailong School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan454000 China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education SouthChina University of Technology Guangzhou 510640 China

ISBN: (纸本)9783037855881

In vision-based autonomous landing system of UAV (Unmanned Aerial Vehicle), the efficiency of object detection and tracking will directly affect the control system. An improved algorithm of SURF (Speed Up Robust Features) will resolve the problem which is inefficiency of the SURF algorithm in the autonomous landing system of UAV. The improved algorithm is composed of three steps: first, detect the region of the target using the Cam shift algorithm;second, detect the feature points in the region of the above acquired using the SURF algorithm;third, do the matching between the template target and the region of target in frame. The results of experiments and theoretical analysis testify the efficiency of the algorithm. © (2013) Trans Tech Publications, Switzerland.

关键词： Efficiency

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Transformation design of mixed injection molding production line

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2nd International Conference on Mechanical Automation and Materials Engineering, ICMAME 2013

作者： Zhou, Xi En Luo, Fei Deng, Xiao Yan Che, Feng Jiao Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Institute of Automation Science and Engineer South China University of Technology Guangzhou 510641 China Huiyang Allan plastic electrical industrial Co.LTD Huizhou 516035 China

ISBN: (纸本)9783037857830

Due to the problems of the traditional mixed injection molding production, such as unsatisfactory of the injection molding machine cylinder temperature control, the dispersed devices, the low automation degree and the lack of supervision for the whole production process, the production line of the mixed injection molding machine has been modified. The fuzzy self-adaptive PID control method is used to improve the temperature control accuracy and stability. Two sets of equipments of the injection molding machine have been communicated via the bus technology to realize automation production. And the computer monitoring system has been designed by VB technology to monitor the operating status and parameters of the entire production process. This transformation design can achieve to shorten production cycle, reduce labor costs and covering area, and also improve the production automation level and efficiency. © (2013)Trans Tech Publications,Switzerland.

关键词： Injection molding

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