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作者： De La Sen, M. Barambones, O. Institute of Research and Development of Processes Campus of Leioa 48080 Spain Department of Systems Engineering and Automatic Control University of Basque Country Nieves Cano 12 01006-Vitoria Spain

ISBN: (纸本)9789604742301

This paper presents an indirect adaptive stabilization scheme for first-order continuous-time systems under saturated input which is described by a sigmoidal function. The singularities are avoided through a modification scheme for the estimated plant parameter vector so that its associated Sylvester matrix is guaranteed to be non-singular and then the estimated plant model is controllable. The modification mechanism involves the use of a hysteresis switching function. An alternative hybrid scheme, whose estimated parameters are updated at sampling instants is also given to solve a similar adaptive stabilization problem. Such a scheme also uses hysteresis switching for modification of the parameter estimates so as to ensure the controllability of the estimated plant model.

关键词： Stabilization

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Altered host immunity, human T lymphotropic virus type I replication, and risk of adult T-cell leukemia/lymphoma: a prospective analysis from the ATL Cohort Consortium

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Retrovirology 2011年第1期8卷 1-2页

作者： Brenda M Birmann Catherine A Suppan Akihiko Okayama Norma Kim Kokichi Arisawa Elizabeth C Breen Anna B F Carneiro-Proietti Kerstin I Falk Barrie Hanchard Manami Inoue Shoichiro Tsugane Otoniel Martínez-Maza Edward L Murphy Ruth M Pfeiffer Michie Hisada Takashi Sawada Sherri O Stuver Hongchuan Li Nancy E Mueller Channing Laboratory Department of Medicine Brigham and Women’s Hospital and Harvard Medical School Boston Massachusetts 02115 USA Department of Rheumatology Infectious Diseases and Laboratory Medicine University of Miyazaki Miyazaki Japan RTI International Rockville Maryland 20852 USA Department of Preventive Medicine Institute of Health Biosciences Tokushima University Tokushima Japan Cousins Center for Psychoneuroimmunology Department of Psychiatry and Biobehavioral Sciences David Geffen School of Medicine at UCLA University of California Los Angeles Los Angeles California 90095 USA Hemominas Foundation Belo Horizonte Minas Gerais Brazil Department of Preparedness Swedish Institute for Communicable Disease Control and MTC Karolinska Institute Stockholm Sweden Department of Pathology University of the West Indies Mona Kingston Jamaica Research Center for Cancer Prevention and Screening National Cancer Center Japan Departments of Obstetrics and Gynecology and Microbiology Immunology and Molecular Genetics David Geffen School of Medicine at UCLA and Department of Epidemiology UCLA School of Public Health University of California Los Angeles Los Angeles California 90095 USA Departments of Laboratory Medicine and Epidemiology/Biostatistics University of California San Francisco and Blood Systems Research Institute San Francisco California 94118 USA Division of Cancer Epidemiology and Genetics National Cancer Institute NIH DHHS Bethesda Maryland 20892 USA Current affiliation: Takeda Global Research and Development Center Inc Deerfield Illinois 60015 USA Department of Clinical Development Oncology Product Creation Unit Eisai Co. Ltd Tokyo Japan Department of Epidemiology Boston University School of Public Health Boston Massachusetts 02118 USA Laboratory of Experimental Immunology Cancer and Inflammation Program Center for Cancer Research National Cancer Institute NIH DHHS Frederick MD 21702 USA Basic Research Program SAIC-Frederick In

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Vehicle to Grid — Monte Carlo simulations for optimal Aggregator strategies

Vehicle to Grid — Monte Carlo simulations for optimal Aggre...

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International Conference on Power System Technology (POWERCON)

作者： Claes Sandels Ulrik Franke Niklas Ingvar Lars Nordström Roberth Hamrén Department of Industrial Information and Control Systems Royal Institute of Technology Stockholm Sweden Vattenfall Research and Development Stockholm Sweden

Previous work has shown that it could be profitable on some control markets to use Plug-in Hybrid Electric Vehicles (PHEV) as control power resources. This concept, where battery driven vehicles such as PHEVs provide ancillary service to the grid is commonly referred to as Vehicle to Grid (V2G). The idea is to sell the capacity and energy of the parked PHEVs on the control market. Due to the fact that cars on average are parked 92% of the day, the availability of this capacity could be very high, even though it will be highly dependent on commuting patterns in peak hours. However, as each PHEV has a very small capacity from a grid perspective, it is necessary to implement an aggregating control system, managing a large number of vehicles. This paper presents strategies for an Aggregator to fulfill control bids on the German control markets. These strategies are tested with respect to reliability, efficiency and profitability in a Monte Carlo simulation model. The model is based on available data on the distributions of commuting departure times and travel distances, as well as average driving power consumption, PHEV battery capacities and the market constraints of the secondary control market in Germany.

关键词： Aggregates

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Vehicle to grid — Reference architectures for the control markets in Sweden and Germany

Vehicle to grid — Reference architectures for the control m...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

Previous work has shown that it could be profitable on some control markets to use plug-in hybrid electric vehicles (PHEV) as control power resources. This concept, where battery driven vehicles such as PHEVs provide ancillary service to the grid is commonly referred to as Vehicle to Grid. The idea is to sell the capacity and energy of the parked PHEVs on the control market. Due to the fact that cars on average are parked 92% of the day, the availability of this capacity could be very high, even though it will be highly dependent on commuting patterns in peak hours. However, as each PHEV has a very small capacity from a grid perspective, it is necessary to implement an aggregating control system, managing a large number of vehicles. The present article investigates design requirements on such a system.

关键词： System-on-a-chip Batteries Frequency measurement Process control Electric vehicles Frequency control

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Design of roll autopilot for a tail controlled missile using sliding mode technique

Design of roll autopilot for a tail controlled missile using...

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International Workshop on Variable Structure systems, VSS

作者： Prasad Parkhi Bijnan Bandyopadhyay Mahendra Jha Armament Research and Development Establishment Pune India IDP in Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India

Sliding mode design based on Lyapunov matrices is proposed as roll autopilot for a tail controlled missile. The search of Lyapunov matrix for systems with unmatched uncertainties is formulated in terms of linear matrix inequality. The proposed scheme ensures robust roll position control even in the presence of large mismatched parametric uncertainties and external disturbances. The performance of roll autopilot design based on sliding mode technique is compared with the classical autopilot. The simulation results demonstrate that the sliding mode based roll autopilot maintains its performance over wide range of variation of parameters.

关键词： Tail Sliding mode control Missiles Uncertainty Linear matrix inequalities Robust control control systems Position control Riccati equations Robustness

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Switching control of Air-Fuel Ratio in Spark Ignition Engines

Switching Control of Air-Fuel Ratio in Spark Ignition Engine...

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American control Conference

作者： Denis V. Efimov Hosein Javaherian Vladimir O. Nikiforov Control of Complex Systems Laboratory Institute of Problems of Mechanical Engineering Saint Petersburg Russia Powertrain Systems Research Laboratory GM Research and Development Center Warren Michigan USA Department of Information and Control Systems Saint Petersburg State Institute of Information Technology Mechanics and Optics Russia

ISBN: (纸本)9781424474264

The problem of air-fuel ratio (AFR) stabilization in spark ignition engines is addressed in this paper. The proposed strategy consists of proper switching among two control laws to improve the quality of the closed-loop system. The first control law is based on the a priori off-line identified engine model and ensures robust and reliable stabilization of the system at large, while the second control law is adaptive, provides on-line adaptive adjustment to the current fluctuations and improves the accuracy of the closed-loop system. The supervisor realizes the switching rule between these control laws providing better performance for AFR regulation. Results of application are reported and discussed.

关键词： Sparks Ignition Engines control systems Robust control Adaptive control Vehicle dynamics Programmable control Java Robust stability

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Iterative Learning Air-Fuel Ratio control with Adaptation in Spark Ignition Engines

Iterative Learning Air-Fuel Ratio Control with Adaptation in...

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American control Conference

ISBN: (纸本)9781424474264

The paper addresses the problem of air-fuel ratio (AFR) stabilization applying learning techniques. The proposed strategy consists in iterative redesign of control coefficients based on the control obtained in a previous step in conjunction with an adaptive scheme. The interesting feature of the proposed solution is that the adaptive control attempts to match not the AFR dynamics but rather the error dynamics originated by the substitution of the feedforward control in the real system. Results of application are reported and discussed.

关键词： Sparks Ignition Engines Adaptive control control systems Programmable control Neural networks Vehicle dynamics Vehicles USA Councils

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Nuclear fusion control-oriented plasma current linear models

Nuclear fusion control-oriented plasma current linear models

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作者： Garrido, Aitor J. Garrido, Izaskun Goretti Sevillano, M. Alberdi, Mikel Amundarain, Modesto Barambones, Oscar De La Sen, Manuel Department of Systems Engineering and Automatic Control School of Technical Industrial Engineering Campus of Bilbao Plaza Casilla 3 48012- Bilbao Spain Department of Systems Engineering and Automatic Control School of Technical Industrial Engineering Campus of Vitoria Nieves Cano 12 01006-Vitoria Spain Department of Electricity and Electronics Faculty of Science and Technology Institute of Research and Development of Processes PO Box 644 Bilbao Spain

ISBN: (纸本)9789604741991

The control of plasma in nuclear fusion has been revealed as a promising application of control Engineering, with increasing interest in the control community during last years. In this paper it is developed a control-oriented linear model for the control of plasma current. For this purpose, it is provided a summary of the background necessary to deal with control problems in tokamak-based nuclear fusion reactors as it is the case of the future ITER tokamak. Besides, it is also given a review of the most used simulators and plasma models, with the aim of providing an adequate background for control engineers to derive their own control-oriented model or to choose the appropriate existing one. Finally, the proposed plasma model performance is proven in a current drive profile trajectory tracking problem using a modified anti-windup PIDbased control scheme.

关键词： Tokamak devices

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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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Combined nanorobotic AFM/SEM system as novel toolbox for automated hybrid analysis and manipulation of nanoscale objects

Combined nanorobotic AFM/SEM system as novel toolbox for aut...

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IEEE International Conference on robotics and Automation (ICRA)

作者： U. Mick V. Eichhorn T. Wortmann C. Diederichs S. Fatikow Division Microrobotics and Control Engineering Technology Cluster Automated Nano handling Oldenburg Research and Development Institute for Information Technology Tools and Systems University of Oldenburg Oldenburg Germany

In this paper, the concept and first results of a novel toolbox for nanoscale characterization are presented. A nanorobotic AFM system is being developed and integrated into a high resolution SEM/FIB system allowing nanoanalysis, -manipulation and -structuring. The compact and modular AFM setup enables probe- as well as sample-scanning and uses self-sensing AFM cantilevers. Image fusion algorithms are developed to merge SEM and AFM information for hybrid analysis of nanoscale objects. A commercial AFM controller is embedded into a special control system architecture that allows for automation of nanomanipulation sequences.

关键词： Scanning electron microscopy Electron beams Force feedback Probes robotics and automation Atomic force microscopy Performance evaluation Automatic control control systems X-ray diffraction

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