In the world of control the enormous difficulties encountered in reaching satisfactory results with the design and implementation of controllers for Multi-Input/Multi-Output (MIMO) processes are well known, in particu...
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In the world of control the enormous difficulties encountered in reaching satisfactory results with the design and implementation of controllers for Multi-Input/Multi-Output (MIMO) processes are well known, in particular; when the interactions can not be ignored. This situation becomes even more complicated when the control process exhibits non-linear and/or time-varying dynamic characteristics. Not uncommonly, system designers of industrial processes control have to face such complexities. This paper describes the experience attained by the authors in the design of a fuzzy control system for a reduction furnace in a nickel processing plant, which exhibits the above mentioned characteristics.
In this paper an approach to classify hand shapes into different classes according to the similarity measures between features is proposed. We show how to use an Exploratory Data Analysis to extract novel, single feat...
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In this paper an approach to classify hand shapes into different classes according to the similarity measures between features is proposed. We show how to use an Exploratory Data Analysis to extract novel, single feature of hand from images. Based on the obtained curve-like shape of the feature, hands are classified into one of 21 possible classes of Croatian sign language using Dynamic Time Warping and Longest Common Subsequence as similarity measures. Performance of the system was evaluated with 1260 images. Results show that high classification accuracy can be obtained from a single feature recognition and a small number of training sample.
There have been many researches on eye-tracking systems to estimate eye gaze and integrated with head movement tracking. In this paper, we describe an active eye- tracking system that can provide usability improvement...
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There have been many researches on eye-tracking systems to estimate eye gaze and integrated with head movement tracking. In this paper, we describe an active eye- tracking system that can provide usability improvement of human-machine interface (HMI) with quad PTZ cameras. We propose an active tracking architecture for real-time eye- tracking in an open environment to get a wide-angle and long-distance available range. We implemented four following parts: face tracking module by Adaboost algorithm, eye detection module by Cognitive calibration algorithm, active control module by integration algorithm and input control module by diagonal-box checker search. We presented an active eye-tracking system that users can use it in unrestricted posture with different angles and distance to the pc. It can calculate the camera target position and then map the gazing point to screen coordinate. We can choice any user to track eye gazing when there are multi-users in front of the pc. The results provide a useful HMI for large head motion and long distance usages.
In this paper we describe an active gaze-tracking system that can provide an interactive interface with computer by using PTZ cameras. We propose an active tracking architecture for real-time gaze-tracking in an open ...
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In this paper we describe an active gaze-tracking system that can provide an interactive interface with computer by using PTZ cameras. We propose an active tracking architecture for real-time gaze-tracking in an open environment and recorded the data into the database for diagnosis. When the cursor is out of control by gazing, a technical improvement theory is used to account for the reflective action of psychological natural reaction to correct the relevant process automatically. This architecture consists of four following parts: face tracking module, eye tracking module, active control module and input control module. We present a high accuracy gaze tracking system which can dynamically estimate the better target position of four PTZ and map the gazing point to screen coordinates. A user can use the active gaze-tracking system without difficult calibration and restricted posture.
作者:
Suresh KalyanasundaramEdwin K. P. ChongNess B. ShroffMotorola India Electronics Limited
No. 66/1 Plot 5 Bagmane Techpark C. V. Raman Nagar Post Bangalore 560 093 India. Department of Electrical and Computer Engineering
Colorado State University Fort Collins CO 80523-1373 USA. Professor Edwin K. P. Chong received the B.E.(Hons.) degree with First Class Honors from the University of Adelaide
South Australia in 1987 graduating top of his class and the M.A. and Ph.D. degrees in 1989 and 1991
respectively both from Princeton University where he held an IBM Fellowship. He joined the School of Electrical and Computer Engineering at Purdue University in 1991 where he was named a University Faculty Scholar in 1999 and promoted to Full Professor in 2001. Since August 2001 he has been a Professor of Electrical and Computer Engineering and Professor of Mathematics at Colorado State University. His current interests are in communication networks and optimization methods. He coauthored the best-selling book An Introduction to Optimization 2nd Edition Wiley-Interscience 2001. He received the NSF CAREER Award in 1995 and the ASEE Frederick Emmons Terman Award in 1998. He coauthored a paper that was awarded Best Paper in the journal Computer Networks 2003. Professor Chong is a Fellow of the IEEE. He was founding chairman of the IEEE Control Systems Society Technical Committee on Discrete Event Systems and until recently served as an IEEE Control Systems Society Distinguished Lecturer. He has been on the editorial board of the IEEE Transactions on Automatic Control. He is currently on the editorial board of the journal Computer Networks. He has also served on the organizing committees of several international conferences. He has been on the program committees for the IEEE Conference on Decision and Control the American Control Conference the IEEE International Symposium on Intelligent Control IEEE Symposium on Computers and Communications and the IEEE Global Telecommunications Conference. He has also served in the executive committees for the IEEE Co
Solution techniques for Markov decision problems rely on exact knowledge of the transition rates, which may be difficult or impossible to obtain. In this paper, we consider Markov decision problems with uncertain tran...
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Solution techniques for Markov decision problems rely on exact knowledge of the transition rates, which may be difficult or impossible to obtain. In this paper, we consider Markov decision problems with uncertain transition rates represented as compact sets. We first consider the problem of sensitivity analysis where the aim is to quantify the range of uncertainty of the average per-unit-time reward given the range of uncertainty of the transition rates. We then develop solution techniques for the problem of obtaining the max-min optimal policy, which maximizes the worst-case average per-unit-time reward. In each of these problems, we distinguish between systems that can have their transition rates chosen independently and those where the transition rates depend on each other. Our solution techniques are applicable to Markov decision processes with fixed but unknown transition rates and to those with time-varying transition rates.
The new LMI based method for robust stability analysis for linear uncertain system with PID controller is proposed. The general constrained structure of controller matrix is considered appropriate for both output feed...
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This paper presents investigations at developing a hybrid iterative learning control scheme with acceleration feedback (PDILCAF) for flexible robot manipulators. An experimental flexible manipulator rig and correspond...
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This paper deals with a mixed continuous-batch process, a pilot plant of our Lab, where both continuous decisions and scheduling take place. The interest of this contribution comes not only from the fact that it is a ...
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The paper deals with the robust output feedback controller design with guaranteed cost and affine quadratic stability for linear continuous time systems. The proposed approach leads to an iterative LMI based algorithm...
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