Traffic micro-simulation is an important tool in the Intelligent Transportation systems (ITS) research. In the micro-simulation, a bottom up system can be built up by the interactions of vehicle agents, road agents, t...
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This study presents an optimal location of monitoring point for using by PID system to control temperature and output power of hepatic cancer microwave ablation system. We investigated a relation between output power ...
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ISBN:
(纸本)9781467348904;9781467348911
This study presents an optimal location of monitoring point for using by PID system to control temperature and output power of hepatic cancer microwave ablation system. We investigated a relation between output power and treatment time in hepatic ablation. A simple simulation model was adapted from COMSOL FEM solver. As a preliminary, monitoring point was supposed to place at 0.5 centimeter besides ablation probe. The simulation results shown that temperature at this monitoring point is linearly related to output power and treatment time.
This paper addresses the system identification and advanced control of a helium (He) liquifier supplying cooling power at liquid helium (LHe) temperatures (269 °C). To study the dynamic response to heat load vari...
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Based on the function of Palletized Loading system and the operation principle of the self-loading and unloading system, a set of electro-hydraulic controlsystem was designed which its core is mobile Programmable Log...
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The gyroscope test instrument's digital controlsystem of repetitive control was introduced together with the control theory, system composition, and software design, answering to the long existing question of gyr...
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Artificial Transportation systems (ATS) provide a comprehensive perspective to study actual transportation systems, which are a kind of open and complex giant system referring to diverse engineering and social discipl...
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Fuzzy logic has always been used to enable machines to take decisions. A WMR is a wheeled mobile robot that moves on wheels. The present paper uses fuzzy logic for the navigation of a WMR in an unstructured environmen...
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Typically, self-organizing systems comprise of a large number of individual agents whose behavior needs to be controlled by a set of parameters so that their interactions lead to the creation of the desired system. To...
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ISBN:
(纸本)9780769548951;9781467351539
Typically, self-organizing systems comprise of a large number of individual agents whose behavior needs to be controlled by a set of parameters so that their interactions lead to the creation of the desired system. To be selforganizing, the system must mimic the evolutionary process. One way to do this is by use of an evolutionary algorithm. This mimics naturally-occurring genetic variation (mutation and recombination of genes). To fulfill this purpose, we have created a tool named FREVO (FRamework for EVOlutionary design), which separates the input needed into the following components: target problem evaluation, controller representation and the optimization method. FREVO provides well-defined interfaces for these components and supports a graphical user interface to simulate the evolutionary process. After obtaining the outcome for a simulation, it is possible to validate and evaluate the results within FREVO. FREVO has been successfully applied to various problems, from cooperative robotics to economics, pattern generation and wireless sensor networks. In this paper, we give an overview of the architecture of FREVO and introduce a case study involving smart grid networks.
Currently, the research issues are becoming increasingly global and complex. In order to master more and more professional and comprehensive ability to solve problems, it is proposed in this paper that academic intell...
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This paper briefly describes an approach to assure robustness of a dynamic system. Its primary focus is on robust stability, not robust performance, in the presence of parameter variations and model uncertainties. The...
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ISBN:
(纸本)9782954181004
This paper briefly describes an approach to assure robustness of a dynamic system. Its primary focus is on robust stability, not robust performance, in the presence of parameter variations and model uncertainties. The proposed control scheme makes use of catastrophe functions with three control factors and two behavior axes. Based on our analysis, the paper presents the conditions for converging to an equilibrium point and explains how to implement a controller to achieve robust stability. As a practical case, design of a controlsystem for a robotic manipulator and the corresponding numerical simulations are presented. The results indicate that the range of robust stability can be extended using the proposed approach.
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