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On designing a reduced-order fuzzy observer

On designing a reduced-order fuzzy observer

引用

8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence

作者： Moshiri, Behzad Besharati, Farhad Tafti, Abdrreza Dehghani Bitaghsir, Ali Akhavan Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395/515 Tehran Iran Islamic Azad University Science and Research Branch Tehran Iran

In this paper, a method for designing reduced-order fuzzy observers for systems expressed in Takagi-Sugeno fuzzy model is proposed. © Springer-Verlag Berlin Heidelberg 2004.

ISBN: (纸本)3540228179

In this paper, a method for designing reduced-order fuzzy observers for systems expressed in Takagi-Sugeno fuzzy model is proposed. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Fuzzy sets

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Ten years of genetic fuzzy systems: Current framework and new trends

Ten years of genetic fuzzy systems: Current framework and ne...

引用

作者： Cordón, O. Gomide, F. Herrera, F. Hoffmann, F. Magdalena, L. Department of Computer Science University of Granada 18071 Granada Spain Department of Computer Engineering FEEC State University of Campinas SP 13083-970 Brazil Royal Institute of Technology Center for Autonomous Systems S-10044 Stockholm Sweden Department of Applied Mathematics E.T.S.I. Telecomunicación Politechnic University of Madrid 28040 Madrid Spain

Fuzzy systems have demonstrated their ability to solve different kinds of problems in various application domains. Currently, there is an increasing interest to augment fuzzy systems with learning and adaptation capabilities. Two of the most successful approaches to hybridise fuzzy systems with learning and adaptation methods have been made in the realm of soft computing. Neural fuzzy systems and genetic fuzzy systems hybridise the approximate reasoning method of fuzzy systems with the learning capabilities of neural networks and evolutionary algorithms. The objective of this paper is to provide an account of genetic fuzzy systems, with special attention to genetic fuzzy rule-based systems. After a brief introduction to models and applications of genetic fuzzy systems, the field is overviewed, new trends are identified, a critical evaluation of genetic fuzzy systems for fuzzy knowledge extraction is elaborated, and open questions that remain to be addressed in the future are raised. The paper also includes some of the key references required to quickly access implementation details of genetic fuzzy systems. © 2003 Elsevier B.V. All rights reserved.

关键词： Fuzzy sets

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A novel auto regression and fuzzy-neural combination method to identify cardiovascular dynamics

A novel auto regression and fuzzy-neural combination method ...

引用

Proceedings of the Biannual World Automation Congress

作者： Jingyu Liu Mo Jamshidi S. Pourbabak Center of Autonomous Control Engineering (ACE) and Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA Department of Internal Medicine University of Massachusetts Worcester MA USA

In this paper cardiovascular dynamics, which refers to the dynamic relationship among the heart rate (HR), arterial blood pressure (ABP) and instantaneous lung volume (ILV), is identified through a novel combination approach that consists of a set of linear auto-regression (AR) equations and nonlinear fuzzy-neural inference. Based on linear assumption of cardiovascular system, auto-regressive and moving average method (ARMA) has been popular approaches to identify the complex cardio-system in recent years. Fuzzy set theory is very suitable to systems with uncertainties such as the cardiovascular dynamic system with expert knowledge. Fuzzy- Neural inference paradigm imports the auto-learning property into fuzzy logic engine, therefore extracts some knowledge from data automatically. An effective hybrid approach, which has parallel modular structure of AR and Fuzzy-neural inference, becomes feasible IO interpret physiologically linear component of heart function and nonlinear nervous regulation component respectively. Details of proposed combination method as well as subjects' study results are presented in this paper.

关键词： Cardiology Heart rate Nonlinear dynamical systems Cardiovascular system Arterial blood pressure Uncertainty Signal analysis Frequency domain analysis Lungs Data mining

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Flight demonstrations of self-directed collaborative navigation of small unmanned aircraft

Flight demonstrations of self-directed collaborative navigat...

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Collection of Technical Papers - AIAA 3rd "Unmanned-Unlimited" Technical Conference, Workshop, and Exhibit

作者： Frew, Eric W. Xiao, Xiao Spry, Stephen McGee, Tim Kim, Zu Whan Tisdale, Jack Sengupta, Raja Hedrick, J. Karl Aerospace Engineering Sciences University of Colorado Boulder CO 80309 United States Center for Collaborative Control of Unmanned Vehicles University of California Berkeley CA 94720 United States Aerospace Engineering Sciences United States Mechanical Engineering Department United States Computer Science Division California PATH United States Civil and Environmental Engineering Department United States

ISBN: (纸本)1563477173

The development of small, autonomous UAVs that can operate in complex environments as part of large coordinated groups will enable many new applications at fractions of the cost of current systems. A fleet of fixed-wing aircraft has been developed to create an intelligent aerial platform that has demonstrated various autonomous capabilities. By means of a downward-looking camera, a single aircraft autonomously follows a roadway using the natural features of the scene in conjunction with onboard sensors, without the use of GPS or prior knowledge of the road's coordinates. A forward looking camera is used to perceive obstacles in the aircraft's flight path by segmenting images into sky/no-sky regions and classifying no-sky regions above the horizon as obstacles. The tracking of friendly ground vehicles - for which GPS information is known but path information is not - is performed using circular and sinusoidal orbits to maintain desired proximity regardless of ground vehicle motion. Teams of two or three aircraft demonstrate convoy protection by providing persistent surveillance around a moving ground vehicle. The team either flies in rigid formation, providing a large area of coverage around the ground vehicle, or the aircraft coordinate several separate actions that provide both lateral (side to side) and longitudinal (front to back) surveillance of the ground vehicle's path. Details of the hardware platform and each capability are described and results of flight demonstrations are presented. Copyright © 2004 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Unmanned vehicles

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An experimental study of subsonic cavity flow - physical understanding and control

An experimental study of subsonic cavity flow - physical und...

引用

2nd AIAA Flow control Conference 2004

作者： Debiasi, M. Yan, P. Little, J. Özbay, H. Myatt, J. Samimy, M. Gas Dynamics and Turbulence Laboratory Collaborative Center of Control Science The Ohio State University GDTL/AARL2300 West Case Road Columbus OH 43235 United States Department of Mechanical Engineering United States Department of Electrical and Computer Engineering United States Air Force Research Laboratory United States

ISBN: (纸本)9781624100307

We present the results of an experimental investigation that uses two different techniques for controlling a shallow cavity flow in the Mach number range 0.25-0.5. The first method is basically an open-loop design that relies on zero-net-mass forcing at an optimal frequency for suppressing the cavity flow resonance. The second method is a parallel-proportional with time delay controller, a linear control design that relies on real-time feedback from the flow to counteract the resonance. With properly tuned parameters, both methods are successful in reducing the cavity resonance for flows in the Mach number range explored. However the parallel-proportional controller exhibits a superior robustness with respect to departure of the Mach number from the design conditions, a signature of feedback control designs that are naturally more capable to handle changes of the open-loop plant. An additional benefit of the feedback control method is the lower power requirement to achieve comparable suppression of the resonance. An interpretation is presented of the physical mechanisms by which the optimal forcing frequency and the parallel-proportional with time delay controller reduce the cavity flow resonance. The results support the idea that the optimal forcing frequency control induces in the system a rapid switching between modes competing for the available energy that can be extracted from the mean flow. In the case of parallel- proportional control mode switching is also observed which involves a larger range of frequencies and spreads more the extracted energy thus producing a flow with a quieter, more broadband spectral signature.

关键词： Mach number

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Expansion of Codd algebra operations with recursive objects

Expansion of Codd algebra operations with recursive objects

引用

International Forum on Strategic Technology, IFOST

作者： V.V. Govorushko V.B. Novoseltsev The Faculty of Computer Science and Engineering Control System Optimization Department Cybenetic Center Tomsk Polytechnic University Tomsk Russia

In this paper, we discuss the relational algebra and recursive relationships between binary and ternary relationships in entity-relationship modeling. We define the interpretation of the recursive tables that can be applied to the complicated relationships having the same participating entities. We propose a new approach to modeling that is suitable for representing self-similar objects and for creating hierarchical structures. It combines methods of the set theory for the recursive relations within a single modeling paradigm, allowing users to define self-similar, partially self-similar, or hierarchical systems in a consistent and flexible manner. The use of recursive relationships in the definitions of self-similar objects yields representations that can be rendered at varying levels of detail or precision at run time.

关键词： Algebra Relational databases Data models Set theory Mathematical model Logic functions computer science Systems engineering and theory control systems Hierarchical systems

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Multispectral Landsat image classification using a data clustering algorithm

Multispectral Landsat image classification using a data clus...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yan Wang Mo Jamshidi P. Neville C. Bales S. Morain Department of Electrical and Computer Engineering and Autonomous Control Engineering (ACE) Center University of New Mexico Albuquerque NM USA The Earth Data Analysis Center (EDAC) University of New Mexico Albuquerque NM USA

This work presents a new application of a data-clustering algorithm in Landsat image classification, which improves on conventional classification methods. Neural networks have been widely used in Landsat image classification because they are unbiased by data distribution. However, they need long training times for the network to get satisfactory classification accuracy. The data-clustering algorithm is based on fuzzy inferences using radial basis functions and clustering in input space. It only passes training data once so it has a short training tune. It can also generate fuzzy classification, which is appropriate in the case of mixed, intermediate or complex cover pattern pixels. This algorithm is applied in the land cover classification of Landsat 7 ETM+ over the Rio Rancho area, New Mexico. It is compared with back-propagation neural network (BPNN) to illustrate its effectiveness and concluded that it can get a better classification using shorter training time.

关键词： Satellites Remote sensing Image classification Neural networks Clustering algorithms Humans Content addressable storage Gaussian distribution Self organizing feature maps Indexing

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Reactive real time behavior for mobile robots in unknown environments

Reactive real time behavior for mobile robots in unknown env...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： B.B.K. Reddy B. Kimiaghalam A. Homaifar NASA Autonomous Control and 1iformation Technology Center (NASA ACIT) Department of Electrical and Computer Engineering North Carolina Agriculture and Technical State University USA

The objective is to emulate the stimulus-response behavior for robot navigation in unknown environments. The robot's objective is to move from its current position to some predefined coordinates, namely, a predefined goal point. The proposed behavior is reactive and the robot has no prior information about the size and location of the obstacles in the environment. This control algorithm is a combination of two main behaviors: wall following and goal seeking, and is based totally on real-time data acquisition from immediate surroundings of the robot. A carefully designed fuzzy inference system (FlS) is used to determine the change in velocity and direction of the robot based on the sonar sensor and inertial cube (Gyro) sensor readings.

关键词： Mobile robots Robot kinematics Robot sensing systems Tactile sensors NASA Inference algorithms Data acquisition Fuzzy systems Sonar navigation Sensor systems

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Protein metal binding residue prediction based on neural networks

引用

11th International Conference on Neural Information Processing, ICONIP 2004

作者： Lin, Chin-Teng Lin, Ken-Li Yang, Chih-Hsien Chung, I-Fang Huang, Chuen-Der Yang, Yuh-Shyong Department of Electrical and Control Engineering Chiao-Tung University HsinChu Taiwan Computer Center Chung-Hua University HsinChu Taiwan Inst. of Medical Science University of Tokyo Tokyo Japan Department of Electrical Engineering HsiuPing Institute of Technology Dali Taichung Taiwan Inst. of Bioinformatics Chiao-Tung University HsinChu Taiwan

ISBN: (纸本)3540239316

It is known that over one-third of protein structures contain metal ions, and they are the necessary elements in life system. Traditionally, structural biologists used to investigate properties of metalloproteins (proteins which bind with metal ions) by physical means and interpret the function formation and reaction mechanism of enzyme by their structures and observation from experiments in vitro. Most of proteins have primary structures (amino acid sequence information) only;however, the 3-dimension structures are not always available. In this paper, a direct analysis method is proposed to predict protein metalbinding amino acid residues only from its sequence information by neural network with sliding window-based feature extraction and biological feature encoding techniques and it can successfully detect 15 binding elements in protein, and 6 binding elements in enzyme. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Metal ions

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Automatically predicting possible loci of variable number of tandem repeats

Automatically predicting possible loci of variable number of...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Chia-Hung Chang Han-Yu Chiang Yi-Hung Chiang Chien-Shun Chiou Hsueh-I Lu Cheng-Yan Kao Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Center for Disease Control Taiwan Academia Sinica Institute of Information Science Taipei Taiwan

Variable number of tandem repeats (VNTR) stands for a tandem repeat which has variation in length and the number of repeated segments between individuals. VNTRs are useful as molecule markers in many applications, such as DNA fingerprinting, genetic disease analysis and molecular typing of prokaryotes. It costs a large amount of money and time to identify these special loci by using traditional biological experiments. Here we develop a novel tool, VNTR analyzer, to identify and analyze VNTR in genome sequence by comparing genomic sequences of different strains. In this study, we demonstrate its ability to detect VNTRs by analyzing 3 bacterial species: Staphylococcus aureus, Xylella fastidiosa and Salmonella enterica. The results showed that our program could find VNTRs accurately in a short time. Moreover, the program provides biologists a colorful visualization tool for further analysis.

关键词： Genomics Bioinformatics Sequences DNA Fingerprint recognition Genetics Diseases Costs Capacitive sensors Microorganisms

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