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American control Conference

作者： P. Krishnamurthy F. Khorrami J. de Leeuw M. E. Porter K. Livingston J. H. Long Control/Robotics Research Laboratory (CRRL) Department of Electrical and Computer Engineering Polytechnic Institute of NYU Brooklyn NY 11201 Vassar College Poughkeepsie NY 12604

ISBN: (纸本)9781424474264

The development of a novel Biologically-inspired (or Biomimetic) Autonomous Underwater Vehicle (BAUV) inspired by the Pacific electric ray is addressed. The design and hardware implementation of experimental prototypes of the "RayBot" BAUV are described. Extensive observations of live electric rays provided key biological inspirations in the development of the BAUV. As part of the effort, a six degree-of-freedom impulse-based multi-body approach for modeling and simulation of BAUVs was also developed and validated through comparison with experimental data.

关键词： Torpedinidae Autonomous underwater vehicles underwater vehicles Biomimetics

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Editorial Special issue on approximate dynamic programming and reinforcement learning

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控制理论与应用（英文版） 2011年第3期 309-309页

作者： Silvia Ferrari Jagannathan Sarangapani Frank L. Lewis Laboratory for Intelligent Systems and Control(LISC)Department of Mechanical Engineering & Materials Science Box 90300 Duke University Durham NC 27708-0005 Department of Electrical & Computer Engineering University of Missouri-Rolla MO 65401 U.S.A. Automation and Robotics Research Institute The University of Texas at Arlington 7300 Jack Newell Blvd. S Ft. Worth Texas 76118-7115 U.S.A.

We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.

关键词： reinforcement learning dynamic programming optimal control effective approach prior knowledge control Theory real-time control law problems special search future ADP basis

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Energy-Efficient Static Priority and Speed Assignment for Real-Time Tasks with Non-deterministic Release Times

Energy-Efficient Static Priority and Speed Assignment for Re...

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IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

作者： Simon Perathoner Lothar Thiele Jian-Jia Chen Computer Engineering and Networks Laboratory (TIK) Swiss Federal Institute of Technology Zurich Switzerland Institute of Process Control and Robotics (IPR) Karlsruhe Institute of Technology Karlsruhe Germany

Dynamic Voltage Scaling (DVS) has been widely used for decreasing the dynamic power dissipation of processors. For real-time systems, DVS techniques have been developed that permit to meet the timing constraints of multiple real-time tasks and at the same time reduce the overall dynamic energy consumption. Known methods for static priority DVS scheduling are, however, either restricted to simple periodic/sporadic task release patterns or presume full a priori knowledge of task release times. Moreover, none of the present approaches considers the optimization of task priorities for reducing the energy consumption. In this paper we explore how to determine the static priorities and individual execution speeds (supply voltages) of multiple tasks with non-deterministic release times bounded by arrival curves such that the energy consumption is reduced and the real-time constraints are met. The result are different heuristics for the design of DVS-based real-time systems with static priorities. We show that the proposed methodology leads to energy-efficient system designs and demonstrate the applicability of the approach by means of experiments.

关键词： Voltage control Energy consumption Real time systems Processor scheduling Program processors Jitter Algorithm design and analysis

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Combining optimistic and pessimistic DVS scheduling: An adaptive scheme and analysis 10

Combining optimistic and pessimistic DVS scheduling: An adap...

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IEEE International Conference on computer-Aided Design

作者： Simon Perathoner Kai Lampka Nikolay Stoimenov Lothar Thiele Jian-Jia Chen Computer Engineering and Networks Laboratory (TIK) Swiss Federal Institute of Technology Zurich Switzerland Institute of Process Control and Robotics (IPR) Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (纸本)9781424481927

Performance boosting of modern computing systems is constrained by the chip/circuit power dissipation. Dynamic voltage scaling (DVS) has been applied for reducing the energy consumption by dynamically changing the supply voltage. One can optimistically apply greedy online DVS scheduling algorithms by considering only the events that have arrived in the system. However, this might require a speed that is beyond a system's capability. Alternatively, one can pessimistically use a conservative speed to ensure timing guarantees, which might consume an excessive amount of energy as events might be processed faster than necessary. This paper presents an adaptive scheme that combines these two strategies for the scheduling of arbitrary event streams. The proposed adaptive DVS scheduler chooses the execution speed dynamically as long as it is below a certain threshold. Once the speed exceeds this threshold, the proposed scheduler operates at a constant (pessimistic) speed for guaranteeing the feasibility. The computation of the threshold speed is, however, not straight-forward. For deriving it, we make use of a framework based on timed model checking because the scheduler is strongly state-dependent. The resulting analysis framework allows to obtain the threshold speed for the proposed adaptive DVS scheduling algorithm such that both timing and speed constraints are guaranteed to be met and at the same time an energy-efficient execution is ensured.

关键词： Voltage control Optimized production technology Energy consumption Timing Adaptation model Scheduling algorithm Adaptive scheduling

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Parameter identification of a linear permanent magnet motor using particle swarm optimization

Parameter identification of a linear permanent magnet motor ...

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7th Annual International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Therdbankerd, Tithiwat Sanposh, Peerayot Chayopitak, Nattapon Fujita, Hideaki Department of Electrical Engineering Intelligent Mechatronics Automation Robotics and Control Laboratory Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-18 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation

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Parameter identification of a Linear Permanent Magnet motor using Particle Swarm Optimization

Parameter identification of a Linear Permanent Magnet motor ...

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International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Tithiwat Therdbankerd Peerayot Sanposh Nattapon Chayopitak Hideaki Fujita Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

关键词： Parameter estimation Permanent magnet motors Particle swarm optimization Synchronous motors Signal processing robotics and automation Chirp Intelligent robots control systems Laboratories

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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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7th Annual International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Suteeratanapirom, Wijin Rattanawaorahirankul, Rapeepong Laosapan, Chutima Sanposh, Peerayot Chayopitak, Nattapon Tungpimolrut, Kanokvate Kunieda, Hiroaki TAIST Tokyo Tech ICTES Program Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-65 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward controller (FFC-PFC) are presented.

关键词： Friction

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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Wijin Suteeratanapirom Rapeepong Rattanawaorahirankul Chutima Laosapan Peerayot Sanposh Nattapon Chayopitak Kanokvate Tungpimolrut Hiroaki Kunieda TAIST Tokyo Technology China Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

关键词： Friction computer numerical control Metalworking machines Servomotors Three-term control Fasteners Rails Servomechanisms Torque control Error correction

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An inventory of potentially habitable environments on Mars: Geological and biological perspectives

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Special Paper of the Geological Society of America 2011年 483卷 317-347页

作者： Dohm, J.M. Miyamoto, H. Ori, G.G. Fairén, A.G. Davila, A.F. Komatsu, G. Mahaney, W.C. Williams, J.-P. Joye, S.B. Di Achille, G. Oehler, D.Z. Marzo, G.A. Schulze-Makuch, D. Acocella, V. Glamoclija, M. Pondrelli, M. Boston, P. Hart, K.M. Anderson, R.C. Baker, V.R. Fink, W. Kelleher, B.P. Furfaro, R. Gross, C. Hare, T.M. Frazer, A.R. Ip, F. Allen, C.C.R. Kim, K.J. Maruyama, S. McGuire, P.C. Netoff, D. Parnell, J. Wendt, L. Wheelock, S.J. Steele, A. Hancock, R.G.V. Havics, R.A. Costa, P. Krinsley, D. Department of Hydrology and Water Resources University of Arizona Tucson AZ United States University Museum Tokyo Japan International Research School of Planetary Sciences Università d'Annunzio Pescara Italy Space Sciences and Astrobiology Division National Aeronautics and Space Administration Ames Research Center Moffett Field CA United States SETI Institute Mountain View CA United States Planetary Exploration Research Center Chiba Institute of Technology Chiba Japan Quaternary Surveys Toronto ON Canada Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA United States Ashima Research Pasadena CA United States Department of Marine Sciences University of Georgia Athens GA United States Laboratory for Atmospheric and Space Physics University of Colorado Boulder CO United States Astromaterials Research and Exploration Science NASA Johnson Space Center Houston TX United States Bay Area Environmental Research Institute Sonoma CA United States School of Earth and Environmental Sciences Washington State University Pullman WA United States Dipartimento Science Geologiche Università Roma Tre Rome Italy Geophysical Laboratory Carnegie Institution of Washington Carnegie WA United States Department of Earth and Environmental Science New Mexico Tech Socorro NM United States School of Chemical Sciences Dublin City University Dublin Ireland Jet Propulsion Laboratory California Institute of Technology Pasadena CA United States Division of Physics Mathematics and Astronomy California Institute of Technology Pasadena CA United States Departments of Electrical and Computer Engineering and Biomedical Engineering University of Arizona Tucson AZ United States Department of Aerospace and Mechanical Engineering University of Arizona Tucson AZ United States Institute of Geological Sciences-Planetary Sciences and Remote Sensing Freie Universität Berlin Malteserstrasse Berlin Germany U.S. Geological Survey Flagstaff

ISBN: (纸本)9780813724836

On Earth, biology, hydrology, and geology are interlinked such that certain types of life are often associated with specifi c conditions, including rock type, pressure, temperature, and chemistry. Life on Earth has established itself in diverse and extreme niches, presenting the possibility that Mars, too, may hold records of fossilized and/or extant life in diverse environments. Geologic, paleohydrologic, and climatic conditions through the evolution of Mars are similar in many respects to conditions occurring during the evolution of Earth and, as such, may point to environments on Mars with potential to have supported living systems. Here, we discuss examples of those Martian settings. Such extraterrestrial environments should be targeted by international robotic and/or manned missions to explore potential fossilized or extant life on Mars. © 2011 Geological Society of America.

关键词： Geology

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Delay-dependent conditions for monotonic convergence of uncertain ILC systems: An LMI approach

Delay-dependent conditions for monotonic convergence of unce...

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IEEE Conference on Decision and control

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu Seventh Research Division the Department of Systems and Control Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

ISBN: (纸本)9781424477456

This paper deals with the iterative learning control (ILC) problem for uncertain time-delay systems (TDS). In order to ensure monotonic convergence of the ILC process, a sufficient condition is developed using an H ∞ -based framework. It shows that under this framework, the convergence condition is enabled to be delay-dependent and have a formulation in terms of linear matrix inequalities (LMIs). Moreover, formulas for the updating law design can be derived by directly solving LMIs. A numerical example is provided to verify that the delay-dependent condition in LMI forms is effective in producing monotonically convergent ILC algorithms.

关键词： Convergence Symmetric matrices Robustness Delay Uncertainty Performance analysis Linear matrix inequalities

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