توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱DESIGN AND IMPLEMENTATION OF CONTROLLING ALGORITHM FOR TWO NXT MOBILE ROBOTS TO OBJECT HANDLING TASK
اطلاعات انتشار: کنفرانس ملی مهندسی مکانیک ایران، سال
تعداد صفحات: ۶
This paper aims to develop a controlling approach in the field of object handling problem. In this paper two controllers will be developed to navigate and coordinate robots to solve beam handling problem which is an open problem in the field of multi–robot literature. This paper uses leader–follower controlling method in procedure of controller design. In this paper, unlike most of the previous approaches, dynamics of agents, mobile robots, are assumed and then the appropriate controlling inputs are defined.<\div>

۲PRESENTING A NOVEL PATH PLANNING ALGORITHM BASED ON A–STAR PATH PLANNING
اطلاعات انتشار: کنفرانس ملی مهندسی مکانیک ایران، سال
تعداد صفحات: ۶
The issue of path planning both in autonomous and no supervised state or supervised tasks is one of the discussion fields of papers and innovations in the field of robotics especially medical robots. To solve this problem several algorithms have been presented among which we can mention Bug algorithms, A–Star algorithms, potential field algorithms and intelligent algorithms such as genetics. In this paper by primary introduction of path planning algorithms especially A–star algorithm a new path planning algorithm will be presented for their completion and improvement.<\div>

۳STABILITY ANALYSIS OF CLOSE–LOOP FLIGHT CONTROL SYSTEM AND ESTIMATION OF REGION OF ATTRACTION
اطلاعات انتشار: کنفرانس ملی مهندسی مکانیک ایران، سال
تعداد صفحات: ۱۵
Usually to design an autopilot for a missile, varying–parameter linear models is used. In this approach, Gain Scheduling methods are utilized and different approaches are used for interpolation. But the stability analysis of close–loop for these systems is an essential challenge. In this paper, a new approach to analyse the stability of these nonlinear systems has been developed. Also using convex optimization methods, the region of attraction of the system has been estimated which determine the variation of region of attraction and in different points and specify the stability of close–loop system around the origin.<\div>

۴A NEW CONTROLLING DESIGN FOR AN UNDERACTUATED FLEXIBLE MACRO–MICRO MANIPULATOR
اطلاعات انتشار: کنفرانس ملی مهندسی مکانیک ایران، سال
تعداد صفحات: ۱۱
Manipulators were proposed for long reach tasks which require speed and precision. Rigid M–m manipulators were studied by researchers of Stanford University. However, for long–reach tasks the flexibility of the M–part becomes significant. The challenge for controlling of this manipulator arise when the M–part of this manipulator become as a flexible link which the controlling approach face to an under–actuated problem. This kind of problems can not to be solved using inverse feedback linearization methods because of unknown dynamic of the manipulator. In this paper a new controlling method based on the singular perturbation algorithm has been developed.<\div>

۵An Investigation of Performances of Technical Indicators in the Stock Exchanges Using Hybrid Methods of SRA, PCA and Neural Networks
اطلاعات انتشار: اولین همایش ملی حسابداری، حسابرسی و مدیریت، سال
تعداد صفحات: ۸
Prediction price indicator movement has always been a challenging task in the exploitation of time series for forecasting. Exact prediction of price indicator movement may offer numerous privileges for investors. As a result of the complexity of stock market data, development of efficient models is often not simple. This research have combined a number of methods namely as Principal Component Analysis (PCA), Stepwise Regression Analysis (SRA) and Artificial Neural Networks (ANN) by technical analysis tools of financial markets. In proceeding, the efficiency of each set in predicting the indicator trend of stocks’ total price, have been compared. Data used in this research have been collected from cable companies in the stock exchange between ٢٠٠٧ and ٢٠١٣. Using empirical results, this research introduces an efficient set of technical indicators for forecasting total price indicator movement in cable companies in TSE. Other results of this research indicate more accuracy of SRA and neural networks in comparison with PCA and neural networks. This paper investigates the efficiency of indicators in Tehran’s Stock Exchange (TSE<\div>
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