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International Conference on Control and Automation (ICCA)

作者： Fan Hong S. S. Ge C. K. Pang T. H. Lee Z. Sun Data Storage Institute Agency for Science Technology and Research (ASTAR) Singapore Department of Electrical & Computer Engineering National University of Singapore Singapore College of Automation Science & Engineering South China University of Technology Guangzhou China

In this paper, we present an adaptive neuro-fuzzy controller design for a class of uncertain nonholonomic systems in the perturbed chained form with unknown virtual control coefficients and strong drift nonlinearities. The robust adaptive neuro-fuzzy control laws are developed using state scaling and backstepping. Semi-global uniform ultimate boundedness of all the signals in the closed-loop are guaranteed, and the system states are proven to converge to a small neighborhood of zero. The control performance of the closed-loop system is guaranteed by appropriately choosing the design parameters. By using fuzzy logic approximation, the proposed control is free of control singularity problem. An adaptive control based switching strategy is proposed to overcome the uncontrollability problem associated with x 0 (t 0 ) = 0.

关键词： Robust control Programmable control Adaptive control Control systems Nonlinear control systems Motion control Neural networks Automatic control Control nonlinearities Fuzzy logic

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Exact Expressions for the Condition Number Distribution of Complex Wishart Matrices

Exact Expressions for the Condition Number Distribution of C...

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IEEE International Conference on Communications (ICC)

作者： M. Matthaiou M. R. McKay P. J. Smith J. A. Nossek Institute of Circuit Theory and Signal Processing Technische Universität München Munich Germany Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong China Department of Electrical and Computer Engineering University of Canterbury Christchurch New Zealand

The standard condition number (SCN) is a fundamental metric in the context of multiple-input multiple-output communication systems, linear detection and classical linear algebra. Hence, in this paper we propose a novel generic framework for the SCN distribution of three different classes of Wishart matrices which leads to new results and insights. In particular, our analysis covers both central and non-central Wishart distributions of arbitrary dimension and therefore is applicable to uncorrelated/semi-correlated Rayleigh fading and Ricean fading scenarios. For the special case of dual semi-correlated central Wishart matrices, we derive exact and asymptotic polynomial expressions for the SCN distributions. All analytical results are validated via Monte-Carlo simulations with the attained accuracy being excellent in all cases. The impact of the model parameters on channel conditioning is also investigated in detail.

关键词： MIMO Covariance matrix Eigenvalues and eigenfunctions Polynomials Context Rayleigh channels Probability density function Communications Society Circuit theory Signal processing Society

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Reports of the AAAI 2010 conference workshops

Reports of the AAAI 2010 conference workshops

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作者： Aha, David W. Boddy, Mark Bulitko, Vadim D'Avila Garcez, Artur S. Doshi, Prashant Edelkamp, Stefan Geib, Christopher Gmytrasiewicz, Piotr Goldman, Robert P. Halevy, Alon Hitzler, Pascal Isbell, Charles Josyula, Darsana Kaelbling, Leslie Pack Kersting, Kristian Kunda, Maithilee Lamb, Luis C. Marthi, Bhaskara McGreggor, Keith Mihalkova, Lilyana Nastase, Vivi Natarajan, Sriraam Provan, Gregory Raja, Anita Ram, Ashwin Riedl, Mark Russell, Stuart Sabharwal, Ashish Smaus, Jan-Georg Sukthankar, Gita Tuyls, Karl Van Der Meyden, Ron Adaptive Systems Section Naval Research Laboratory Washington DC United States Adventium Labs. Minneapolis MN United States Department of Computer Science University of Alberta Canada City University London United Kingdom University of Georgia United States University of Bremen Germany School of Informatics University of Edinburgh United Kingdom University of Illinois Chicago United States Smart Information Flow Technologies LLC Minneapolis MN United States Structured Data Group Google Research United States Department of Computer Science Wright State University Dayton OH United States School of Interactive Computing Georgia Institute of Technology Atlanta GA United States Department of Computer Science Bowie State University United States Department of Computer Science and Engineering Massachusetts Institute of Technology United States Statistical Relational Mining Group Fraunhofer IAIS Germany Department of Computer Science Federal University of Rio Grande Do sul Brazil Willow Garage Inc. CA United States Computer Science Department University of Maryland College Park United States Heidelberg Institute for Theoretical Studies Heidelberg Germany Department of Computer Science University of Wisconsin Madison United States University College Cork Ireland Cork Complex Systems Lab. Ireland Department of Software and Information Systems University of North Carolina Charlotte United States Department of Computer Science and Engineering University of California Berkeley United States Department of Computer Science Cornell University United States Institute for Computational Sustainability United States University of Freiburg Germany School of Electrical Engineering and Computer Science University of Central Florida United States Maastricht University Netherlands University of New South Wales NICTA Australia

The AAAI-10 workshop program was held on July 11-12, 2010, at the Westin Peachtree Plaza in Atlanta, Georgia. The workshop program included 13 workshops covering a wide range of topics in artificial intelligence. There were several presentations on particular formalisms for combining the levels of planning from the perspectives of classical planning, motion planning, POMDPs, search-based planning, and temporal logic-based constraints. Henry Lieberman from Massachusetts institute of Technology Media Laboratory presented work developing a platform for knowledge acquisition and usage from expert users, built upon experience with eliciting information from nonexperts in a collaborative manner. The objective of the AAAI Workshop on Goal-Directed Autonomy (GDA) was to encourage discussion and novel contributions on intelligent agents that can self-select their goals. Jeremy Baxter from QinetiQ focused on user interaction, while Nick Hawes described a goal-directed reasoning framework for controlling a mobile robot.

关键词： Motion planning

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Order-preserving factor discovery from misaligned data

Order-preserving factor discovery from misaligned data

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2010 IEEE Sensor Array and Multichannel Signal processing Workshop, SAM 2010

作者： Puig, Arnau Tibau Wiesel, Ami Zaas, Aimee Ginsburg, Geoffrey S. Fleury, Gilles Hero III, Alfred O. Dpt. of Electrical Engineering University of Michigan United States E3S - SUPELEC Systems Sciences Signal Processing and Electronic Systems Department Supélec France School of Computer Science and Engineering Hebrew University of Jerusalem Israel Institute for Genome Sciences and Policy Duke University United States Division of Infectious Diseases and International Health Dpt. of Medicine Duke University School of Medicine United States

ISBN: (纸本)9781424489770

We present a factor analysis method that accounts for possible temporal misalignment of the factor loadings across the population of samples. Our main hypothesis is that the data contains a subset of variables with similar but delayed profiles obeying a consistent precedence ordering relationship. Our model is motivated by the difficulty of gene expression analysis across subjects who have common patterns of immune response but show different onset times after a uniform innoculation time of a viral pathogen. The proposed method is based on a linear model with additional degrees of freedom that account for each subject's inherent delays. We present an algorithm to fit this model in a totally unsupervised manner and demonstrate its effectiveness on extracting gene expression factors affecting host response using a flu-virus human challenge study dataset. © 2010 IEEE.

关键词： Gene expression

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An analysis of the combination of global and local models for activity recognition in videos

An analysis of the combination of global and local models fo...

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Congress on Image and Signal processing, CISP

作者： Weiyao Lin Hongxiang Li Chunli Wang Wei Li Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Jiaotong University Shanghai China Department of Electrical and Computer Engineering North Dakota State University Fargo ND USA School of Information Science & Technology Dalian Maritime University Dalian China School of Computer Science & Engineering Beihang University Beijing China

In this paper, we propose and analyze a framework of combining the global and local models for improving the activity recognition performance. Under the framework, several global-local-model combination methods are proposed for activity recognition. The advantages of combining the global and local models are also analyzed in detail. Experimental results demonstrate that the proposed framework can not only improve the recognition performance but also release the loads for parameter selection.

关键词： Hidden Markov models Solid modeling Videos Adaptation model Analytical models Accuracy Load modeling

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Characterization of delay and Doppler spreads of underwater particle velocity channels using zero crossing rates

Characterization of delay and Doppler spreads of underwater ...

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Annual Conference on Information sciences and Systems (CISS)

作者： H. Guo A. Abdi A. Song M. Badiey Center for Wireless Communication and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Physical Ocean Science and Engineering College of Earth Ocean and Environment University of Delaware Newark DE USA

Communication in acoustic particle velocity channel using vector sensors is recently proposed for the underwater medium. Due to the presence of multiple propagation paths, a mobile receiver collects the transmitted signal with different delays and Doppler shifts. This introduces certain delay and Doppler spreads in particle velocity communication channels. In this paper, these channel spreads are characterized using the zero crossing rates of channel responses in frequency and time domain. Useful expressions for delay and Doppler spreads are derived in terms of the key channel parameters, mean angle of arrivals and angle spreads. Closed-form expressions for the temporal correlations of underwater acoustic particle velocity channels are presented as well. These results are needed for design and performance predication of communication systems in time-varying and frequency-selective underwater particle velocity channels.

关键词： Underwater acoustics Mobile communication Underwater communication Sensor phenomena and characterization Acoustic sensors Acoustic propagation Propagation delay Doppler shift Communication channels Closed-form solution

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Digital transmission via underwater acoustic particle velocity channels

Digital transmission via underwater acoustic particle veloci...

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Annual Conference on Information sciences and Systems (CISS)

作者： C. Chen A. Abdi A. Song M. Badiey Center for Wireless Communication and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Physical Ocean Science and Engineering College of Earth Ocean and Environment University of Delaware Newark DE USA

Recent studies have shown that a compact underwater vector sensor receiver can perform as an array of scalar sensors. Here we propose a scheme to transmit data via underwater particle velocity channels using a dipole vector sensor. System equations are derived and simulations are presented. This demonstrates the possibility of digital transmission using a vector sensor.

关键词： Underwater acoustics Acoustic sensors Acoustic devices Sensor systems Acoustic measurements Pressure measurement Transmitters Sensor phenomena and characterization Sensor arrays Sea measurements

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Disturbance rejection on critical resonant mode in hard disk drives

Disturbance rejection on critical resonant mode in hard disk...

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Asia-Pacific Magnetic Recording Conference (APMRC)

作者： Gangquan Dai Fan Hong Chee Khiang Pang Masaki Nagashima Department of Electrical and Computer Engineering National University of Singapore Singapore Data Storage Institute Agency for Science Technology and Research Singapore Naval Postgraduate School Spacecrali Research and Design Center Monterrey CA USA

In this paper, we propose a control method which combines notch filter and peak filter to provide disturbance rejection at the frequency of critical resonant mode. The settling rate is also improved by time-varying the parameters of the peak filter. Our simulation and experimental results show that the out-of-phase resonant mode is reshaped to an in-phase mode, and the disturbance at the frequency of critical resonant mode is attenuated by 70% with an improved settling rate. The proposed control method is shown to be robust against ± 10% perturbation of natural frequencies.

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Multi-Variable Cost Function for Application Layer Multicast Routing

Multi-Variable Cost Function for Application Layer Multicast...

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2010 IEEE Global Telecommunications Conference GLOBECOM 2010

作者： Tien Anh Le Hang Nguyen Hongguang Zhang Department of Electrical and Computer Engineering University of Massachusetts Amherst Amherst USA National Science Center Kharkiv Institute of Physics and Technology” Kharkiv Ukraine Digital Signal Processing Indian Institute of Technology Delhi India National Academy of Science of Ukraine Scientific and Technological Center of Electrophysics Kharkiv Ukraine

Cost function is an essential part in Application Layer Multicast (ALM) routing algorithms. It is from a cost function that we can calculate links' costs and then build the data delivery tree for multicasting. Unfortunately, cost function remains an almost untouched research area in ALM routing. In this research, we propose a new multi-variable cost function considering various end-to-end QoS parameters simultaneously. The mathematical derivation process is also described in details so that one can apply it to obtain other multi-variable cost functions according to their specific requirements. The newly proposed multi-variable cost function can avoid congestion before it happens, preventing the data delivery tree from being frequently or unnecessarily changed while still be adaptable to the dynamic requirements of different applications. With theoretical analysis, we have proved that the new cost function can provide better performance for ALM routing algorithms compared to conventional cost functions.

关键词： Cost function Bandwidth Delay Quality of service Routing Equations IEEE Communications Society

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A two-stage neural network classifier for condition-based maintenance in wireless sensor networks

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International Journal of COMADEM 2010年第2期13卷 17-26页

作者： Ramani, A. McMurrough, C. Middleton, M. Ballal, P. Athamneh, A. Lee, W. Kwan, C. Lewis, F. Automation and Robotics Research Institute University of Texas at Arlington 7300 Jack Newell Blvd. S Fort Worth TX 76118-7115 United States Energy Systems Research Center University of Texas at Arlington 416 S. College St Arlington TX 76019-0048 United States Signal Processing Inc. 13619 Valley Oak Circle Rockville MD 20850-3572 United States Computer Science Engineering University of Texas at Arlington United States Electrical Engineering Department United States

Motor failures in aerospace applications can lead to serious compromises in safety, overall effectiveness, and maintenance costs. In mission critical applications, it is important that motor fault signatures are identified before a failure occurs. It is known that 40% of mechanical failures occur due to bearing faults. Bearing faults can be identified from the motor vibration signatures. Three key contributions are outlined in this paper. First, we develop a low cost test bed for simulating bearing faults in a motor. Second, we develop a wireless sensor module for collection of vibration data from the test bed. Finally, we use a novel two stage neural network to classify various bearing faults using the Generalized Hebbian Algorithm (GHA) in the first stage and a supervised learning vector quantization network (SLVQ) with a self organizing map approach for fault classification in the second stage. © 2010 COMADEM International.

关键词： Wireless sensor networks

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