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IEEE International Conference on Automation Science and engineering (CASE)

作者： S. Bogdan Z. Kovacic I. Fazinic I. Draganjac Laboratory for Advanced Robotics and Intelligent Control Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

Initially introduced as a model-free control design method, in today practice fuzzy control is dominantly used as yet another nonlinear control technique based either on a linear or nonlinear model of a process. This paper addresses the stability assessment of a fuzzy logic control system based only on the partial knowledge of a controlled process. Lyapunov stability conditions are derived and analyzed by using fuzzy numbers and fuzzy arithmetic. The experimental results obtained for a non-stable second-order system confirmed that this approach could be successfully implemented. Some questions, addressed in the paper, remained open for further investigation.

关键词： Fuzzy control Stability analysis control systems Fuzzy systems Lyapunov method Sliding mode control Fuzzy logic Fuzzy sets Nonlinear control systems Arithmetic

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LANDING AN UNMANNED AIR VEHICLE: VISION BASED MOTION ESTIMATION AND NONLINEAR control

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Asian Journal of control 2008年第3期1卷

作者： Omid Shakernia Yi Ma T. John Koo Shankar Sastry Dept. of Electrical Engineering & Computer Science University of California at Berkeley Berkeley CA94720-1774 U.S.A. Tak-Kuen John Koo received the B.Eng. degree in 1992 in Electronic Engineering and the M.Phil. in 1994 in Information Engineering both from the Chinese University of Hong Kong. From 1994 to 1995 he was a graduate student in Signal and Image Processing Institute at the University of Southern California. He is currently a Ph.D. Candidate in Electrical Engineering and Computer Sciences at the University of California at Berkeley. His research interests include nonlinear control theory hybrid systems inertial navigation systems with applications to unmanned aerial vehicles. He received the Distinguished M.Phil. Thesis Award of the Faculty of Engineering The Chinese University of Hong Kong in 1994. He was a consultant of SRI International in 1998. Currently he is the team leader of the Berkeley AeRobot Team and a delegate of The Graduate Assembly University of California at Berkeley. He is a student member of IEEE and SIAM. S. Shankar Sastry received his Ph.D. degree in 1981 from the University of California Berkeley. He was on the faculty of MIT from 1980-82 and Harvard University as a Gordon McKay professor in 1994. He is currently a Professor of Electrical Engineering and Computer Sciences and Bioengineering and Director of the Electronics Research Laboratory at Berkeley. He has held visiting appointments at the Australian National University Canberra the University of Rome Scuola Normale and University of Pisa the CNRS laboratory LAAS in Toulouse (poste rouge) and as a Vinton Hayes Visiting fellow at the Center for Intelligent Control Systems at MIT. His areas of research are nonlinear and adaptive control robotic telesurgery control of hybrid systems and biological motor control. He is a coauthor (with M. Bodson) of “Adaptive Control: Stability Convergence and Robustness Prentice Hall 1989.” and (with R. Murray and Z. Li) of “A Mathematical Introduction to Robotic Manipulati

In this paper, we use computer vision as a feedback sensor in a control loop for landing an unmanned air vehicle (UAV) on a landing pad. The vision problem we address here is then a special case of the classic ego-motion estimation problem since all feature points lie on a planar surface (the landing pad). We study together the discrete and differential versions of the ego-motion estimation, in order to obtain both position and velocity of the UAV relative to the landing pad. After briefly reviewing existing algorithm for the discrete case, we present, in a unified geometric framework, a new estimation scheme for solving the differential case. We further show how the obtained algorithms enable the vision sensor to be placed in the feedback loop as a state observer for landing control. These algorithms are linear, numerically robust, and computationally inexpensive hence suitable for real-time implementation. We present a thorough performance evaluation of the motion estimation algorithms under varying levels of image measurement noise, altitudes of the camera above the landing pad, and different camera motions relative to the landing pad. A landing controller is then designed for a full dynamic model of the UAV. Using geometric nonlinear control theory, the dynamics of the UAV are decoupled into an inner system and outer system. The proposed control scheme is then based on the differential flatness of the outer system. For the overall closed-loop system, conditions are provided under which exponential stability can be guaranteed. In the closed-loop system, the controller is tightly coupled with the vision based state estimation and the only auxiliary sensor are accelerometers for measuring acceleration of the UAV. Finally, we show through simulation results that the designed vision-in-the-loop controller generates stable landing maneuvers even for large levels of image measurement noise. Experiments on a real UAV will be presented in future work.

关键词： Motion estimation computer vision based control unmanned air vehicle differential flatness

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SUPER-HEURISTICS AND THEIR APPLICATIONS TO COMBINATORIAL PROBLEMS

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Asian Journal of control 2008年第1期1卷

作者： Tak Wing Edward Lau Yu-Chi Ho Division of Engineering and Applied Sciences Harvard University Cambridge MA02138 U.S.A. Yu-Chi (Larry) Ho received his S.B. and S.M. degrees in Electrical Engineering from M.I.T. and his Ph.D. in Applied Mathematics from Harvard University. Except for three years of full time industrial work he has been on the Harvard Faculty. Since 1969 he has been Gordon McKay Professor of Engineering and Applied Mathematics. In 1988 he was appointed to the T. Jefferson Coolidge Chair in Applied Mathematics and Gordon McKay Yu-Chi (Larry) Ho received his S.B. and S.M. degrees in Electrical Engineering from M.I.T. and his Ph.D. in Applied Mathematics from Harvard University. Except for three years of full time industrial work he has been on the Harvard Faculty. Since 1969 he has been Gordon McKay Professor of Engineering and Applied Mathematics. In 1988 he was appointed to the T. Jefferson Coolidge Chair in Applied Mathematics and Gordon McKay Professor of Engineering at Harvard and as visiting professor to the Cockrell Family Regent's Chair in Engineering at the University of Texas Austin. He has published over 120 articles and three books one of which (co-authored with A.E. Bryson Jr.) has been translated into both Russian and Chinese and made the list of Citation Classics as one of the most referenced works on the subject of optimal control. He is on the editorial boards of several international journals and is the editor-in-chief of the new international Journal on Discrete Event Dynamic Systems. He is the recipient of various fellowships and awards including the Guggenheim (1970) and the IEEE Field Award for Control Engineering and Science (1989) the Chiang Technology Achievement Award (1993). He is a fellow of IEEE a Distinguished Member of the Control Systems Society and a member of the U.S. National Academy of Engineering. In addition to serving on various governmental and industrial panels and professional society administrative bodies he was the President of the IEEE Robotics & Automation Society in 1988

Combinatorial problems are known to be difficult because of the shear size of the solution space and the lack of polynomial time algorithms to “solve” them. Heuristics are often devised to produce acceptable solutions in an affordable time. In this paper, we propose a method called super-heuristic that expands the capabilities of heuristics using randomization and sampling techniques. We submit that heuristics are in general strategies that map from available information of a problem instance to decisions in solution constructions/improvement. We show that it is important to utilize the information effectively in the randomization process. More importantly, the possibility of randomization around a heuristic spells out the demarcation between the roles of human and machines in complex optimization problems.

关键词： Combinatorial problems heuristics randomization and sampling techniques man-machine interactions

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Who moved?! An investigation into distribution of actions and behaviors in a multi agent system

Who moved?! An investigation into distribution of actions an...

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2006 IEEE International Conference on Mechatronics, ICM

作者： Daneshvar, Roozbeh Lucas, Caro Artificial Intelligence and Robotics Lab. Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Faculty of Electrical and Computer Engineering University of Tehran and School of Intelligent Systems Tehran Iran

ISBN: (纸本)0780397134

In this paper we have considered systems in which agents communicate via their environment. In these systems the agents do not have direct and explicit communication with each other and instead they have implicit communication which is performed via the environment they are located in. Different kinds of environment elements are considered to be changed while on the other hand for all of these situations there is a change in the environment and this change means potential stimuli that fires behaviors of agents for future. It is considered that if we can find a track of changes in the environment and find the roots of a movement in an agent that is originally made by another agent of the group. © 2006 IEEE.

关键词： Multi agent systems

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Analysis of fractional - Order robot axis dynamics

Analysis of fractional - Order robot axis dynamics

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作者： Rosario, J.M. Dumur, D. Tenreiro Machado, J.A. Laboratory of Automation and Robotics Faculty of Mechanical Engineering UNICAMP - University of Campinas 13083-970 - Campinas- SP Brazil Department of Automatic Control SUPELEC 91192 - Gif-sur-Yvette France Department of Electrical Engineering Institute of Engineering Polytechnic Institute of Porto 4200-072 Porto Portugal

ISBN: (纸本)9783902661128

Robots are complex mechatronics systems where several electric drives are employed to control the movement of articulated structures. In industrial environments they must perform tasks with rapidity and accuracy in order to produce goods and services with minimal production time. These procedures require the use of flexible robots which can act in a large workspace, thus subjected to important parameters variations and nonlinear dynamics effects. This paper investigates the fractional order dynamics during the evolution of trajectories of three robotic joints, considering the complete system dynamics. Copyright © 2006 IFAC.

关键词： Calculations

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Fuzzy controller Design Based on the Phase Plane Isoclines

Fuzzy Controller Design Based on the Phase Plane Isoclines

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Mediterranean Conference on control and Automation (MED)

作者： Stjepan Bogdan Zdenko Kovacic Larics-Laboratory for Robotics and Intelligent Control Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

In this paper we describe a procedure that exploits geometric properties of state space in the investigation of the system stability. Although this method is cumbersome, its practical value becomes clear in the situation when state space is reduced to a phase plane, which is the case in a second-order system. Then phase plane analysis offers well known procedures (especially in case f(.) is linear) for the determination of the system stability. Simulation results, obtained by implementation of the proposed method on the fuzzy controller design, are given at the end of the paper

关键词： Fuzzy control Fuzzy systems control systems Sliding mode control Stability analysis Nonlinear control systems Fuzzy logic State-space methods Stability criteria Lyapunov method

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Who Moved?! An Investigation into Distribution of Actions and Behaviors in a Multi Agent System

Who Moved?! An Investigation into Distribution of Actions an...

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International Conference on Mechatronics (ICM)

作者： Roozbeh Daneshvar Caro Lucas Artificial Intelligence and Robotics Laboratory Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Faculty of Electrical and Computer Engineering School of Intelligent Systems IPM University of Tehran Tehran Iran

关键词： Artificial intelligence Intelligent robots Fires Tracking Process control Communication system control control systems Intelligent control Optical computing Intelligent systems

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High-rise buildings under earthquake excitation: Stabilization using SMC

High-rise buildings under earthquake excitation: Stabilizati...

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作者： Dimirovski, Georgi M. Zhao, Jun Vukobratovic, Miomir K. Dogus University Faculty of Engineering Dept. of Computer Engineering Acibadem Zeamet Sk. 21 Kadikoy TR-34722 Istanbul Turkey SS Cyril and Methodius University Faculty of Electrical Engineering Rugjer Boskovic b.b. Karpos II MK-1000 Skopje Macedonia Northestern University School of Information Science and Engineering Institute of Control Science Shenyang Liaoning CN-110004 China Mihailo Pupin Institute Laboratory of Robotics and Automation Volgina 15 Karaburma 11000 Serbia

ISBN: (纸本)9783902661173

The goal to control the dynamics of high-rise buildings either to ameliorate the damage or prevent their destruction when subject to an earthquake excitation has been subject of extensive research. All known control designs have advantages and disadvantages as well as operating limits. The application of sliding-mode control to controlling earthquake induced vibrations of a multi-story structural system as an active seismic compensation plus base isolation has been investigated. The performance has been compared to the one of traditional industrial controls, and relevant conclusions drawn. Simulation results, carried out using El Centro earthquake acceleration, have shown that the sliding mode control can decrease significantly displacements of the floors. Copyright © 2006 IFAC.

关键词： Earthquakes

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ANALYSIS OF FRACTIONAL - ORDER ROBOT AXIS DYNAMICS

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IFAC Proceedings Volumes 2006年第11期39卷 367-372页

作者： J.M. Rosario D. Dumur J.A. Tenreiro Machado Laboratory of Automation and Robotics - Faculty of Mechanical Engineering UNICAMP - University of Campinas 13083-970 – Campinas- SP Brazil Department of Automatic Control SUPELEC 91192 - Gif-sur-Yvette France Department of Electrical Engineering Institute of Engineering Polytechnic Institute of Porto 4200-072 Porto Portugal

关键词： Mechatronics robotics Simulation Dynamics control Fractional calculus

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HIGH-RISE BUILDINGS UNDER EARTHQUAKE EXCITATION: STABILIZATION USING SMC

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IFAC Proceedings Volumes 2006年第16期39卷 776-781页

作者： Georgi M. Dimirovski Jun Zhao Miomir K. Vukobratovic Dogus University Faculty of Engineering Dept. of Computer Engineering Acibadem Zeamet Sk. 21 Kadikoy TR-34722 Istanbul Rep. of Turkey Fax: ++90-216-327-9631 Tel: ++90-216-327-1104 SS Cyril and Methodius University Faculty of Electrical Engineering Rugjer Boskovic b.b. Karpos II MK-1000 Skopje Rep. of Macedonia Northestern University School of Information Science and Engineering Institute of Control Science Shenyang Liaoning CN-110004 P. R. of China Fax: ++86-24-8367-2273 Tel: ++86-24-2389-3000 Mihailo Pupin Institute Laboratory of Robotics & Automation Volgina 15 Karaburma 11000 F. R. Serbia and Montenegro Fax: ++381-11-2775-870 Tel: ++381-11-2774-236

关键词： Earthquake sliding mode control structural systems vibration control

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