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IEE Colloquium on Techniques for Speech Processing and their Application

作者： L. Baghai-Ravary S.W. Beet M.O. Tokhi Dept. of Automatic Control & Syst. Eng. Sheffield Univ. UK Department of Electronic and Electrical Engineering University of Sheffield Sheffield UK Department of Automatic Control and Systems Engeering University of Sheffield Sheffield UK

Most speech recognition systems are unable to cope with data from high-resolution pre-processors (such as auditory models and high-resolution spectral estimates) for two reasons. One is due to the inappropriateness of measures related to the Euclidean distance. The other is somewhat less obvious, but is due to the non-ergodic nature of short-term parameterisations of speech sounds. This aspect of speech variability is addressed. The authors show how a linear, but nonstationary, vector predictor, based on the concept of 'acoustic flow', can be used to estimate the redundancy in speech data, paving the way for an improvement in recognition performance.< >

关键词： Filtering Hidden Markov models Speech recognition Prediction methods

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Fault detection using neural networks

Fault detection using neural networks

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International Joint Conference on Neural Networks (IJCNN)

作者： G. Silvestri F.B. Verona M. Innocenti M. Napolitano Universita degli Studi di Pisa Pisa Toscana IT Dept. of Electr. Syst. & Autom. Pisa Univ. Italy Department of Electrical Systems and Automation Italy Mechanical and Aerospace Engineering Department West Virginia University Morgantown WV USA

This paper presents a neural network approach for the problem of sensor failure detection and identification for a flight control system without any sensor redundancy. The problem is solved with the introduction of online learning neural network estimators. The online learning of such a neural network is performed by using the extended backpropagation algorithm, a new method which offers several improvements with respect to the standard backpropagation algorithm.< >

关键词： Fault detection Neural networks Redundancy Sensor systems Mechanical sensors Backpropagation algorithms Fault diagnosis Sensor phenomena and characterization Electrical fault detection automation

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control of unknown systems using switching controllers: an experimental study

Control of unknown systems using switching controllers: an e...

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American control Conference (ACC)

作者： M. Chang E.J. Davison Systems Control Group Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada University of Toronto Toronto ON CA Dept. of Electr. Eng. & Comput. Eng. Toronto Univ. Ont. Canada

In this paper, the problem of implementing the Miller-Davison (1989) self-tuning integral robust servomechanism for the case of constant references and disturbances is considered and examined using an experimental multi-input multi-output apparatus; cases involving both known and unknown estimates of the steady state gain matrix T are considered. In order to improve the speed of response, proportional feedback has been added in both instances, and this has yielded a superior transient response.

关键词： control systems Open loop systems Pi control Proportional control Valves Robust control Transient response Actuators State estimation Steady-state

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Moment recursions of the cumulative performance of production systems using discrete-time Markov reward models

Moment recursions of the cumulative performance of productio...

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IEEE International Conference on Robotics and automation (ICRA)

作者： R. Mallubhatla K.R. Pattipati N. Viswanadham Department of Electrical and Systems Engineering University of Connecticut Storrs CT USA University of Connecticut Storrs CT US Dept. of Electr. & Syst. Eng. Connecticut Univ. Storrs CT USA Department of Computer Science and Automation Indian Institute of Science Bangalore India

Uses discrete-time Markov reward models to obtain moment recursions of the cumulative performance of an automated manufacturing system (AMS). AMS exists in various structure states due to failures, repairs and reconfigurations of its components. This multi-state behavior is modeled using a Markov reward structure that is similar to the continuous-time versions. This methodology may also be used to compute other performance measures, such as the expected in-process inventory and the expected production per unit time. A three-stage transfer line with finite buffers is used to illustrate the methods obtained in the paper.< >

关键词： Production systems Manufacturing systems Process control control systems Manufacturing automation Job shop scheduling Time measurement Degradation LAN interconnection Local area networks

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Novel control of an inverted pendulum

Novel control of an inverted pendulum

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American control Conference (ACC)

作者： R.M. Dimeo S.C.A. Thomopoulos Decision and Control Systems LaboratayDepartment of Electrical Engineering Pennsylvania State University University Park PA USA Pennsylvania State University University Park PA US Dept. of Electr. Eng. Pennsylvania State Univ. University Park PA USA

High frequency vertical oscillations of the pivot point of the inverted pendulum are investigated as a means of stabilizing the pendulum. Four cases are considered. The standard cart-pendulum is analyzed using optimal control techniques both with and without a vertical pivot oscillation. The stability of a simple inverted pendulum is investigated with a pure tone vertical displacement and then a gradient search is applied to determine a modulated vertical displacement to achieve asymptotic stability.

关键词： Optimal control control systems Riccati equations Asymptotic stability Nonlinear equations Feedback Frequency Lagrangian functions Regulators State-space methods

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Robust constrained model predictive control using linear matrix inequalities

Robust constrained model predictive control using linear mat...

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American control Conference (ACC)

作者： M.V. Kothare V. Balakrishnan M. Morai Chemical Engineering California Institute of Technology Pasadena CA USA Control and Dynamical Systems California Institute of Technology Pasadena CA USA Institute for Systems Research University of Maryland USA California Institute of Technology Pasadena CA US Dept. of Chem. Eng. California Inst. of Technol. Pasadena CA USA

The primary disadvantage of current design techniques for model predictive control (MPC) is their inability to explicitly deal with model uncertainty. In this paper, the authors address the robustness issue in MPC by directly incorporating the description of plant uncertainty in the MPC problem formulation. The plant uncertainty is expressed in the time-domain by allowing the state-space matrices of the discrete-time plant to be arbitrarily time-varying and belonging to a polytope. The existence of a feedback control law minimizing an upper bound on the infinite horizon objective function and satisfying the input and output constraints is reduced to a convex optimization over linear matrix inequalities (LMIs). It is shown that for the plant uncertainty described by the polytope, the feasible receding horizon state feedback control design is robustly stabilizing.

关键词： Robust control Predictive models Predictive control Linear matrix inequalities Uncertainty Robustness Time domain analysis Feedback control Upper bound Infinite horizon

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OPTIMAL LOAD DISTRIBUTION FOR 2 COOPERATING ROBOTS USING A FORCE ELLIPSOID

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ROBOTICA 1993年第1期11卷 61-72页

作者： CHOI, MH LEE, BH KO, MS Automation and Systems Research Institute and Dept. of Control and Instrumentation Eng.Seoul National University Shinrim-dong Kwanak-ku Seoul (Korea)

The concept of the force ellipsoid and the manipulability ellipsoid of robotic mechanism is extended to two cooperating robot arms, and the equations of the dual arm force and manipulability ellipsoids are derived. The load distribution problem for two cooperating robots is studied using the concept of the force ellipsoid. The problem is usually underspecified mathematically and a variety of optimal solutions may exist. A new solution approach utilizing the force ellipsoid is proposed in this paper. The load distribution problem is formulated as a nonlinear optimization problem with a quadratic cost function and inequality constraints. The optimality criterion is the minimum energy, and two different cases are considered depending on the presence of the constraints on joint torques. In the first case, the torque constraints are not included, and in the second, the maximum value of the robot energy is considered in solving the optimization problem. The optimal solution is obtained almost as a closed form, in which the joint torques are given in terms of a single scalar parameter that can be obtained numerically by solving a scalar equation.

关键词： LOAD DISTRIBUTION DUAL ROBOT ARMS FORCE ELLIPSOID MANIPULATABILITY ELLIPSOID

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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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ADAPTIVE MOLD LEVEL control FOR CONTINUOUS STEEL SLAB CASTING

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AUTOMATICA 1993年第4期29卷 851-864页

作者： HESKETH, T CLEMENTS, DJ WILLIAMS, R [&Dagger ]Dept. of Systems and Control The University of New South Wales P.O. Box 1 Kensington NSW 2033 Australia. [&dagger ]BHP Engineering Port Kembla Australia

An adaptive controller was applied to mould level control for continuous steel slab casting. The controller is embedded within a PC-based real-time control program, named RTS. The work is the outgrowth of adaptive LQ designs which have been applied since 1981;a multivariable version of the adaptive controller is embedded within Connoisseur, a larger control system. control of mould level for continuous steel slab casting involves a process whose model contains an integrator and oscillatory terms, noise and non-linearities, while the excitation of the actuation is poor. The combination is potentially devastating for adaptive controllers. The RTS controller incorporates filters, noise models and other techniques to deal with these problems. The on-line experiments offered insights into appropriate methodologies requiring interesting techniques for non-invasive monitoring and changeover from one controller to another so as not to affect normal production.

关键词： ADAPTIVE control control APPLICATIONS control SYSTEM DESIGN OPTIMAL control ROBUSTNESS STEEL INDUSTRY

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Target detection and localization from bearing-only and bearing/range measurements 1

Target detection and localization from bearing-only and bear...

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1st IEEE Regional Conference on Aerospace control systems, AEROCS 1993

作者： Weiss, L.G. Thomopoulos, S.C.A. Dept. of Electrical and Computer Engineering Pennsylvania State University Decision and Control Systems Laboratory State CollegePA16804 United States Applied Research Laboratory United States

The extended kalman filter is applied to localize a target in a plane from range and bearing measurements and from bearing only measurements received at an observer. The model is a constant bearing between and the target;thus the state here model is x ≈ w, where x is the state vector and w is white noise. It is shown that the target is tracked even when bearing only measurements are availbale. Example are provided tp describe the performance of the filter with this state model. © 1993 IEEE.

关键词： Kalman filters

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