Fluid detection is of great importance in the industrial processes and chemical analysis-reported methods must have the contact with the sample and require a long time to finish the detection. This paper raised a nove...
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ISBN:
(纸本)9783642549274;9783642549267
Fluid detection is of great importance in the industrial processes and chemical analysis-reported methods must have the contact with the sample and require a long time to finish the detection. This paper raised a novel method and made a fluid detector to detect fluid by using the capacitance detecting chip AD7745, which can make the detection in a short time. By testing gas, water, and different concentrations of ethanol, we got the results that the detector can effectively distinguish different substances and make the primary quantitative analysis.
In previous work, the viability of split-cycle constant-period frequency modulation for controlling two degrees of freedom of flapping wing micro air vehicle has been demonstrated. Though the proposed wing control sys...
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With the development of intelligent home appliance technology, real-time home appliance status information is now generated in large quantities. New technology is necessary in order to process the large amount of stat...
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This paper presents the novel humanoid postural control (PC) architecture for the humanoid robot TEO. It is outlined the high level and human inspired system for improving task performance. The study of the human PC s...
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This paper presents a symbolic PI tuning method for first orders systems with time delay based on Pade approximation. The presented method is very easy to use like well-known methods such as Ziegler-Nichols and Cohen-...
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ISBN:
(纸本)9781479915064;9781479915088
This paper presents a symbolic PI tuning method for first orders systems with time delay based on Pade approximation. The presented method is very easy to use like well-known methods such as Ziegler-Nichols and Cohen-Coon. Besides its easiness, the method performs a faster step response and no overshoot. Furthermore, it provides a good robust performance.
Capacitive sensing has been proven valid for locomotion mode recognition as an alternative of popular electromyography based methods in the control of powered prostheses. In this paper, we analyze the characteristics ...
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Moon holes were first discovered by JAXA in 2009. It is believed that moon holes are useful for learning about the formation of the moon because the bedding plane is exposed. In addition, because the inner holes are s...
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Supervisory control reconfiguration can handle the uncertainties including resource failures and task changes in discrete event systems. It was not addressed to exploit the robustness of closed-loop systems to accommo...
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This paper summarizes the reactive power optimization of power system characteristics and requirements, proposed to target the active power loss of reactive power optimization mathematical model, And the traditional c...
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ISBN:
(纸本)9783037859391
This paper summarizes the reactive power optimization of power system characteristics and requirements, proposed to target the active power loss of reactive power optimization mathematical model, And the traditional classical algorithm can not handle the limitations of discrete variables, using the adaptive particle swarm optimization algorithm to solve the problem of reactive power optimization. By testing on ieee30 bus system simulation, comparing different algorithm optimization results show the effectiveness and superiority of APSO algorithm.
The international Workshop on Smart City: control and Automation Perspectives was held at the Zhejiang Hotel in Hangzhou, China, on August 27-29, 2013. The workshop featured 12 presentations delivered by prominent res...
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The international Workshop on Smart City: control and Automation Perspectives was held at the Zhejiang Hotel in Hangzhou, China, on August 27-29, 2013. The workshop featured 12 presentations delivered by prominent researchers. Prof. Venkat Venkatasubramanian, codirector of the Center for the Management of systemic Risk, Columbia University, United States, presented an overview of challenges facing the city and provided a control-theoretic framework for the management of systemic risk. Prof. Fei-Yue Wang, director of the State Key Laboratory of Management and control for Complex systems, Institute of Automation, Chinese Academy of Sciences, proposed the 'ACP-based parallel control and management approach,' essentially a data-driven approach for modeling, analysis, and decision making, as a new mechanism for conducting operations of the smart city as a complex system that deeply involves intricate issues of both engineering and social dimensions.
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