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Neural Network Parameter Adjustment for control rules in Flight control System

Neural Network Parameter Adjustment for Control Rules in Fli...

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2012年计算机应用与系统建模国际会议

作者： Jing Zhou Jun Tao School of Mathematics and Computer Science Jianghan University

To deal with the problem of parameter adjustment in flight control system, it is designed that parameter adjustment network based on the three-layer feedback neural network. With the self-train of network, the parameters of the network are gained, which realizes the dual parameters adjustment of the flight height h and Mach number Ma. Through simulation, control parameter optimization based on all characteristic points is ensured by the network. At the same time, the control parameters between all characteristic points is been grid, which makes flight control system stable even in the untrained characteristic points. Finally, each control parameter of flight and whole model of flight control system are computed out.

关键词： Parameter adjustment neural network dual parameters control rules characteristic points

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A Framework for Web Services Composition Modeling Process

A Framework for Web Services Composition Modeling Process

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作者： Ayman EI-Refey（艾门）大连海事大学

学位级别：硕士

The modeling business processes still remains the responsibility of IT *** has produced a gap between business process modeling technology and business users,who are the actual authors of business *** this gap has become a major concern in utilizing the full potential of information technology in businesses and it can swing control of processes from IT departments to business departments,which in turn,leads to in-time deployment of competitive business *** this thesis,we present a framework is proposed for modeling Web services based business processes that span across multiple *** approach provides abstraction from the low level XML details of the modeling language and facilitates business users,who are not so technology proficient,in modeling their own executable business *** ECA-based control-rule formalism is introduced to modularize the monolithic BPEL4WS process *** generation of code for BPEL4WS and corresponding description file is *** algorithms are devised for this purpose that are embedded in a prototype *** part of the framework,A relational model has been devised to store the information which is complete in all aspects and provides direct mapping to the execution *** model acts as an intermediary platform to manipulate and infer compositional *** abstraction from underlying syntax of the language is the main concern of this research,the modeler does not have to provide each and every detail of the XML contructs used in the *** have been presented that extract data and automatically infer further information from the relational *** algorithms also provide assistance to the modeler at *** interaction patterns between the process and its partner services have been identified that provide the basis for abstraction from the roles played by each side.Using such an approach,business users not only can model

关键词： web services web services composition business process modeling BPEL4WS composition language abstraction control rules directed graphs

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On Local Path Planning for the Mobile Robot based on QL Algorithm

On Local Path Planning for the Mobile Robot based on QL Algo...

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第37届中国控制会议

作者： SONG Li LI Caihong WANG Xiaoyu ZHANG Ning FU Hao School of Computer Science and Technology Shandong University of Technology School of Computer Software Tianjin University

This paper proposes a local path planning method tor the mobile robot based on the Q-Learnmg（QL） algorithm to improve the common problems existed in the traditional method,such as the slow convergence rate,the dilemma between exploration and exploitation,and the complex obstacles in the ***,the variables of state and action are designed and discretized according to the path planning *** a Q-value function matrix is used to store the reinforcement value,and a reward function is constructed according to the requirements of obstacle avoidance and shortest *** solve the balance problem of exploration and exploitation and improve the convergence speed,the ε-balance strategies and the selection algorithm of actions are designed to improve the learning process of *** training of QL,the optimal pairs of state and action are obtained,further the optimal control rules are achieved and used to perform local path *** order to prevent the incomplete visiting problem for the pairs of state and action,the steering rules are appended to improve the efficiency of the path ***,the designed method has been *** results show that the robot can plan an optimal or sub-optimal path while avoiding obstacles,even in a complicated environment.

关键词： mobile robot local path planning QL control rules ε-balance strategies selection algorithm of actions

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