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Acclimation Environment control After Grafting - A New Acclimation Method -

IFAC Proceedings Volumes 1996年第1期29卷 956-961页

作者： Y. Nishiura H. Murase N. Honami Lab. of Bioinstrumentation Control and Systems Engineering Department of Regional Environmental Science Faculty of Agriculture University of Osaka Prefecture 1-1 Gakuen-cho Sakai Osaka 593 JAPAN

The production system for grafted seedlings consists of mainly three parts. One is the growing process, another one is the grafting process, and the last one is the acclimation process. The acclimation process is very important for grafted seedlings because they are seriously injured. The qualities of seedlings and the management of farmers and seedling producers depend upon the acclimating technologies. Now, we are trying to develop such a grafting robot system which satisfies the conditions in the view of plant histological and physiological standpoints. In this study we show a new acclimation method on the basis of high technologies.

关键词： Photosynthesis interval Acclimation environment control Wilting behavior Machine vision technique Bioinstrumentation Wilting model Grafting robot system Bioproduction

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Application of an integrated fuzzy, knowledge-based, connectionistic architecture for fault diagnosis in power systems

Application of an integrated fuzzy, knowledge-based, connect...

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International Conference on intelligent systems Applications to Power systems (ISAP)

作者： S.K. Tang T.S. Dillon R. Khosla Expert & Intelligent Syst. Lab. La Trobe Univ. Bundoora Vic. Australia Expert & Intelligent Systems Laboratory Applied Computing Research Inst and Department of Computer Science and Computer Engineering La Trobe University Bundoora VIC Australia

In this paper, we show the relevance of fuzzy systems in an integrated symbolic-subsymbolic architecture, GENUES (generic neuro-expert system), for information processing. Fuzzy logic is used for modelling knowledge in different phases of the GENUES architecture. As an illustration we show the application of fuzzy logic in the decision phase and post-processing phase of GENUES for power system fault diagnosis.

关键词： Fault diagnosis Fuzzy systems Artificial neural networks Problem-solving Power system faults intelligent systems Power engineering computing Fuzzy logic Knowledge based systems Power system modeling

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3-DIMENSIONAL RECORDING AND DESCRIPTION OF MOTIONS OF THE SHOULDER MECHANISM

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JOURNAL OF BIOMECHANICAL engineering-TRANSACTIONS OF THE ASME 1995年第1期117卷 27-40页

作者： VANDERHELM, FCT PRONK, GM Man-Machine Systems Group Lab. for Measurement and Control Department of Mechanical Engineering and Marine Technology Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands

A measurement technique is presented for recording positions of the bones of the shoulder mechanism, i.e., thorax, clavicula, scapula and humerus, in 3-D space, based on palpating and recording positions of bony landmarks. The palpation technique implies that only static positions can be measured. Accuracy of retrieving bony landmarks is checked on-line using rigid body assumptions. The measurement error is calculated afterwards and is comparable with cinegraphic methods. Axial rotation of the clavicula is estimated by minimizing rotations in the acromioclnviacularjoint. A number of motion definitions is compared by means of interindividual variation and subjective interpretability. Two useful definitions are proposed for describing motions of the shoulder mechanism. Four conditions have been recorded: abduction and anteflexion of the humerus both with and without additional weight in the hand. Abduction and anteflexion result in large differences in scapular and clavicular motions. The effect of additional weight in the hand on the position of the shoulder girdle is negligible.

关键词： Errors Weight (Mass) Rotation Bone

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Environmental control Strategies Based on Plant Responses Using intelligent Machine Vision Technique

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IFAC Proceedings Volumes 1995年第6期28卷 175-181页

作者： H. Murase Y. Nishiura K. Mitani Lab. of Bioinstrumentation Control and Systems Engineering Department of Regional Environmental Science University of Osaka Prefecture 1-1 Gakuen Sakai 593 JAPAN

The finite element method was utilized in image feature extraction. Non-linear relationships between plant moisture content and the finite element image features were identified by using a neural network in order to predict water status of plant from digital image of a wilting plant. In this paper, bio-response feedback control strategies for developing an intelligent water management system in plant production were discussed. A non-invasive sensing technique for monitoring plant moisture conditions were proposed.

关键词： Computer vision Finite element method Neural networks Kalman filter Image compression

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TMS320 DSP based neuro-fuzzy controller

TMS320 DSP based neuro-fuzzy controller

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IEEE International Conference on systems, Man and Cybernetics

作者： K.K. Kumbla M.-R. Akbarzadeh-T. M. Jamshidi CAD Laboratory for Intelligent and Robotic Systems Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA University of New Mexico Albuquerque NM US CAD Lab. for Intelligent & Robotic Syst. New Mexico Univ. Albuquerque NM USA

Fuzzy logic can be used to map complex nonlinear relations by a set of IF-THEN rules. The membership functions are designed by intuitive human reasoning. This poses two problems; first, for different control application a new set of membership functions have to developed and second, once these membership functions are developed and implemented there is no means of changing them. This means fuzzy logic lacks a learning function. Neural network on the other hand self-organizes the mapping relationship by learning. So by integrating neural networks and fuzzy logic it is possible to overcome these problems. Implementing this algorithm on a TMS320 DSP chip is discussed. controlling a flexible link manipulator is taken as an example to evaluate the controller.

关键词： Digital signal processing Fuzzy logic Biological neural networks Artificial neural networks Fuzzy reasoning Neural networks Humans Fuzzy set theory Fuzzy control Fuzzy neural networks

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Estimating 3-D body parameters from reflection component separating imagery: a performance analysis

Estimating 3-D body parameters from reflection component sep...

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International Symposium on Computer Vision (ISCV)

作者： J.C. Glas F. van der Heijden Department of Electrical Engineering Control Systems and Computer Engineering Group.Laboratory for Measurement Science and Instrumentation University of Twente Enschede Netherlands Lab. for Meas. Sci. & Instrum. Twente Univ. Enschede Netherlands

Iterative least-squares estimation requires accurate reflectance models to retrieve geometrical parameters of 3-D objects from an image projection. We investigate the use of separating the diffuse (body) reflection from the specular (surface) reflection, where the latter is responsible for image highlights. The performance of several models has been analysed by comparing local higher-order derivatives of the least-squares error function. Experiments show that the (smooth) diffuse component yields the best convergence properties, while the (sharp) specular component cast be utilized to improve noise insensitivity.

关键词： Parameter estimation Performance analysis Convergence Reflectivity Noise measurement Optical reflection Image retrieval Additive noise Velocity measurement Computer errors

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H ∞ control for systems with Sector Bound Nonlinearities

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IFAC Proceedings Volumes 1995年第14期28卷 251-255页

作者： W. Zhan L.Y. Wang Y. Liu J. Sun Wayne State University Department of Electrical & Computer Engineering Detroit MI 48202 USA Robert Borsch Corporation 38000 Hills Tech Dr. 48331 Farmington Hills MI USA Ford Research Lab. Control Systems Department MD1170 SRL P. O. Box 2053 48121-2053 Dearborn MI USA

In this article, we study the H ∞ control problem for systems with sector bound nonlinearities. A natural candidate for the energy function is given based on stability analysis results of Lur’e systems. Sufficient conditions are derived in terms of algebraic matrix inequalities, which are much simpler to solve than the general Hamilton-Jacobi-Isaacs inequalities. A suboptimal control law is given. Comparison between the results in this paper and some existing results on robust H ∞ control for linear systems is made. The necessary and sufficient condition obtained by using linear robust design with the sector bound nonlinearities treated as uncertainties in the linear system is shown to be implied by one of the conditions we obtain with some special choice of a design parameter p . In general, when p ≠ 0 the feedback law is nonlinear.

关键词： H ∞ control nonlinear systems feedback sector bound nonlinearity

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Estimation of one-dimensional radar tracking via fuzzy-Kalman filter

Estimation of one-dimensional radar tracking via fuzzy-Kalma...

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International Conference on Industrial Electronics, control and Instrumentation

作者： T.-H.S. Li Intelligent Control Lab. Department of Electrical Engineering National Cheng Kung University Tainan Taiwan

In this paper, a combination of fuzzy decision logic and Kalman filter is investigated. The application to one-dimensional radar tracking problem is studied. Simulations illustrate that the fuzzy-Kalman filter can achieve faster transient and better steady-state estimations than the traditional Kalman filter does. The stability analysis of this kind of filter is also examined.< >

关键词： Radar tracking Fuzzy sets Filters Fuzzy logic Equations Fuzzy control Zirconium Decision making Fuzzy systems Radar measurements

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MPSA abstracts

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Journal of Protein Chemistry 1994年第5期13卷 515-543页

作者： Aminlari, Mahmoud Asquith, Thomas Sarlo, Katherine Bailey, Jerome M. Tu, Oanh Issai, Gilbert Ha, Alice Shively, John E. Bell, Alexander W. Baur, Nicole C. Bergeron, John J. M. Ou, Wei -Jia Thomas, David Y. Cianflone, Katherine Baldo, Allain Hincke, Maxwell T. Momparler, Richard L. Laliberté, Josée Thomson, David M. P. Sutherland, M. Besada, Vladimir Gonzalez, Javier Padron, Gabriel Garay, Hilda Reyes, Osvaldo Takao, Toshifumi Shimonishi, Yasutsugu Bischoff, Rainer Roecklin, Dominique Bouchon, Bernadette Klarskov, Klaus Van Dorsselaer, Alain Brake, Patricia G. Pacitti, Anne Higgins, Terry Stevis, Panos Malinowski, John McElhiney, Sue Huang, Janes Vestal, Christine Buckel, Scott D. Stevenson, Tracy Loo, Joseph A. Caffrey, Martin Wang, Jin Wallace, Carmichael J. A. Clark-Lewis, Ian Carraway, C. A. Carothers Huang, J. Li, Y. Juang, S. -H. Gallo, A. Mayer, B. J. Carraway, K. L. Coleman, Patrick L. Sarpong, Daniel Deerfield, David W. Holland-Minkley, Amanda Hempel, John D. Nicholas, Hugh B. Denslow, Nancy D. Folmar, Leroy C. Sullivan, Craig V. Dixon, James D. Mark, Jonathan P. Elicone, Christopher P. Maleknia, Simin D. McGuinness, Brian F. Regnier, Fred E. Afeyan, Noubar B. Dolence, Julia M. Poulter, C. Dale Egorov, Tsezi Musolyamov, Alexander Popineau, Yves Andersen, Jens Roepstorff, Peter Falkenstein, Roberto J. Biscoglio de Jiménez Bonino, Mirtha J. Peña, Clara Gauggel, D. L. Asquith, T. N. Isfort, R. J. Miller, N. S. Cody, D. B. Giblin, Michael F. Wong, Tuck C. Quinn, Thomas P. Grant, Gregory A. Crankshaw, Mark W. Griffith, Scott Schroeder, Steve Quinn, Thomas Guinet, F. Petillot, Y. Chapsal, J. M. Dubayle, J. Greco, F. Barge, O. Forest, E. Valentin, C. Hahn, Frederick M Baker, Jonathan A. Haniu, Mitsuru Kenney, William C. Rohde, Michael F. Harman, James G. Lee, Eun Ju Glasgow, Joel Lew, Sew Fen Belduz, Ali O. Harris, Reed J. Molony, Michael S. Keyt, Lene H. Wu, Shiaw -Lin Hawke, David H. Tso, Jaqueline Early, Sherrell Miller, Chad G. Hayman, G. Thomas Miernyk, Jan A. Hellman, Ulf Wernstedt, Christer Góñez, Jorge H Department of Biochemistry School of Veterinary Medicine Shiraz University Shiraz Iran Corporate Professional & Regulatory Services/Human Safety Dept. The Procter & Gamble Co. Cincinnati Division of Immunology Beckman Research Institute of the City of Hope Duarte Protein Analytic Facility Sheldon Biotechnology Centre USA McGill University Montreal Department of Anatomy USA Biotechnology Research Institute NRC Canada Division of Cardiology Royal Victoria Hospital USA Department of Anatomy University of Ottawa Faculty of Health Science Ottawa Centre de Recherche Pediatrique Hôpital Ste-Justine Université de Montréal Montreal Department of Immunology Montreal General Hospital USA Center for Genetic Engineering & Biotechnology Cuba Institute for Protein Research Osaka University Osaka Japan Protein Analytical Group TRANSGENE S.A. Strasbourg Cedex France Vakgroep Biochemie Fysiologie en Microbiologie Gent Belgium Laborat. de Spectrométrie de Masse Bioorganique URA 31 CNRS Université Louis Pasteur Strasbourg Cedex France Sterling winthrop Inc. Collegeville Lexin Pharmaceutical Corporation Horsham PerSeptive Biosystems Houston Parke-Davis Pharmaceutical Research Division of Warner Lambert Company Ann Arbor Dept. of Chemistry The Ohio State University Columbus USA Dept. of Biochemistry Dalhousie University Halifax Canada Biomedical Research Center University of British Columbia Vancouver Canada Dept. of Biochem. & Molec. Biol. Univ. of Miami Sch. of Medicine Miami The Rockefeller Institute New York Dept. of Cell Biol. & Anat. Univ. of Miami Sch. of Medicine Miami Biosciences Laboratory 3M Co. St. Paul Pittsburgh Supercomputing Center Pittsburgh Department of Molecular Genetics/Biochemistry University of Pittsburgh Pittsburgh Dept. Biochem. and Mol. Biol. University of Florida Gainesville U.S. Environmental Protection Agency Gulf Breeze Dept. Zoology North Carolina State University Raleigh PerSeptive Biosystems Inc. Cambridge Department of Chemistry Univ

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Eigenvalue sensitivity of a speed-sensorless CSI-fed induction motor system

Eigenvalue sensitivity of a speed-sensorless CSI-fed inducti...

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International Conference on Industrial Electronics, control and Instrumentation

作者： Joong-Ho Song Kwang-Bae Kim Myung-Joong Youn Control Systems Lab. KIST Seoul South Korea Departmentof Electrical Engineering KAIST Taejon South Korea

ISBN: (纸本)0780308913

The evaluation and interpretation of eigenvalue sensitivity for a speed-sensorless LCCSI-fed induction motor drive system are presented. It is well known that the sensitivity of the dynamic stability with respect to any parameter variations of the system matrix, A, can be characterized by the sensitivity of the eigenvalues with respect to the parameter variations. Based on a control system devised for stable operation of the LCCSI-induction motor system without a speed sensor, the eigenvalue sensitivity analysis corresponding to the three related control plants from open loop to closed loop is described. The eigenvalue sensitivity analysis clearly shows the possible sources of the system instability as well as comprehensive results against the system parameter variations over the nominal operating frequency range.< >

关键词： Eigenvalues and eigenfunctions Induction motors control systems Open loop systems Voltage control Induction motor drives Stability Sensitivity analysis Linear feedback control systems Sensor systems

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