Control theory

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Control theory is an interdisciplinary branch of engineering and mathematics that deals with the behavior of dynamical systems. (Wikipedia.org)




IEEE Organizations related to Control theory

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Conferences related to Control theory

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2016 IEEE 55th IEEE Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.

  • 2014 IEEE 53rd Annual Conference on Decision and Control (CDC)

    Largest annual conference in control theory and its applications. Areas covered all applied math, communication, control, aerospace, biology, etc.

  • 2013 IEEE 52nd Annual Conference on Decision and Control (CDC)

    The 52nd IEEE Conference on Decision and Control will be held Tuesday through Friday, December 10-13, 2013 at the Congress Centre in Firenze, Italy. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss the latest advancements of the discipline, shape its future directions, and promote its diffusion among the scientific community at large. The 52nd CDC will feature the presentation of contributed and invited papers, as well as tutorial sessions and workshops. The CDC is hosted by the IEEE Control Systems Society (CSS), and is organized in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).

  • 2012 IEEE 51st Annual Conference on Decision and Control (CDC)

    The conference discusses advances in theory, design and application of control systems. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the control systems from analysis and design through simulation and hardware. Its scope shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organiz

  • 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011)

    This conference is dedicated to the advancement of the theory and practice of systems and control, bringing together an international community of researchers and practitioners to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.

  • 2010 49th IEEE Conference on Decision and Control (CDC)

    Theory and applications of control theory and control systems technology


2014 American Control Conference - ACC 2014

All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005


2013 10th International Multi-Conference onSystems, Signals & Devices (SSD)

The 2013 International Multi-Conference on Systems, Signals and Devices is a forum for researchers and specialists in different fields of electrical engineering departments from leading research centers and universities around the world to present their research results and to share experiences with other attendees. It is the 10th multi -conference since the founding of SSD in 2001 whichis supported by international organizations such as IEEE, TSS and different scientific journals.

  • 2012 IEEE 9th International Multi-Conference on Systems, Signals and Devices (SSD)

    The International Multi-Conference on Systems, Signals and Devices 2012 is a forum for researchers and specialists in different fields of electrical engineering departments from leading reserach centers and universities around the world to present their research results and to share experiences with other attendees. It is the 9th multi-conference since the founding of SSD in 2001 which is supported by international organizations such as IEEE, TSS and different scientific journals.

  • 2011 8th International Multi-Conference on Systems, Signals and Devices (SSD)

    The SSD conference is a multi conference covering most topics in the the field of electrical engineering. It is celebrations its tenth birth day in 2011.

  • 2010 7th International Multi-Conference on Systems, Signals and Devices (SSD)

    The event consists of four specialized conferences that cover a wide spectrum of fields in electrical and electronics engineering and as follows Systems Analysis and Automatic Control Power Electrical Systems Communication and Signal Processing Sensors, Circuits and Instrumentation Systems

  • 2009 6th International Multi-Conference on Systems, Signals and Devices (SSD)

    The International Conference SSD 09 is a forum for specialists to present their research results and to share experiences with other attendees coming from all over the world. It is the 6th conference since the founding of SSD in 2001. SSD is supported by international organizations such as IEEE, TSS and different scientific journals. SSD 09 includes keynote lectures by eminent scientists as well as oral and poster sessions. All papers are peer reviewed on the basis of full manuscripts. SSD participants hav

  • 2008 5th International Multi-Conference on Systems, Signals and Devices (SSD)

    The International Multi-Conference on Systems signals & Devices is an annual scientific event that includes four scheduled conferences covering almost fields of electrical and electronics engineering: (1)Systems Analysis and Automatic Control, (2)Power Electrical Systems, (3)Communication and Signal Processing (4)Sensors, Circuits and Instrumentation Systems.


2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

This conference provides an idea-exchange and discussion platform for researchers and practitioners interested in Intelligent Human-Machine and Cybernetics and other topics.


2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI)

ICEMI is invited authors to submit original papers in any but not limited as following areas: Science Foundation of Instrument and Measurement Innovative Designing of Instrument and Test System Applications on Instrument and Testing Signal & Image Processing Sensor and Non-electric Measurement Communication and Network Test Systems Control Theory and Application Condition Monitoring, Fault Diagnosis and Prediction Other Relevant Theories and Technologies

  • 2011 IEEE 10th International Conference on Electronic Measurement & Instruments (ICEMI)

    ICEMI is the world s premier conference dedicated to the electronic test of devices, boards and systems covering the complete cycle from design verification, test, diagnosis, failure analysis and back to process and design improvement, and is convened every two years. The purpose of the ICEMI is to provide excellent opportunities for scientists, engineers, and participants throughout the world to present the latest research results and to exchange their views or experience.

  • 2009 9th International Conference on Electronic Measurement & Instruments (ICEMI 2009)

    Science Foundation of Instrument and Measurement Instrument, Measurement and Test Technology: Sensing Technology and Transducer Designing of Instrument and Test System Applications on Instrument and Testing: Communication and Network Test Systems Control Theory and Application


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Periodicals related to Control theory

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Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Energy Conversion, IEEE Transaction on

Research, development, design, application, construction, installation, and operation of electric power generating facilities (along with their conventional, nuclear, or renewable sources) for the safe, reliable, and economic generation of electrical energy for general industrial, commercial, public, and domestic consumption, and electromechanical energy conversion for the use of electrical energy


Industry Applications, IEEE Transactions on

The development and application of electric systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; the encouragement of energy conservation; the creation of voluntary engineering standards and recommended practices.



Most published Xplore authors for Control theory

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Xplore Articles related to Control theory

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Exponential stability of stochastic MJSNNs with partly unknown transition probabilities

Chunge Lu; Linshan Wang 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), 2013

This paper investigates exponential stability of stochastic Markovian jumping static neural networks (MJSNNs) with mode-dependent time-varying delays and partly unknown transition probabilities. Based on the Lyapunov-Krasovskii functional method and stochastic analysis technique, some new stochastic stability criteria are derived to guarantee the exponential stability in mean square of Markovian jumping static neural networks in terms of linear matrix inequalities. A ...


Time domain passivity control with reference energy behavior

Jee-Hwan Ryu; B. Hannaford; C. Preusche; G. Hirzinger Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003

A recently proposed method for stabilizing haptic interfaces and teleoperation systems was tested with a "PHANToM" commercial haptic device. The "passivity observer" (PO) and "passivity controller" (PC) stabilization method was formed to stabilize the system but also excite high frequency mode in the device. To solve this problem, we propose a method to use a time-varying desired energy threshold instead ...


The design of the embedded digital controller

Guanglai Chen; Shoujun Wang; Lifei Li 2011 International Conference on Electric Information and Control Engineering, 2011

This paper describes the detailed design process and methods, which combines the using of embedded CPU with a special motion control chip embedded motion controller. Through the hardware platform design and software design of the embedded motion controller, it can know that the controller has some advantages, such as low cost, small size, low power consumption, feature-rich and stable characteristics. ...


Identifying and controlling deadband systems using neural networks

G. Cherruel; Y. Autret; F. Dupont Neural Networks, 1995. Proceedings., IEEE International Conference on, 1995

We present a solution to identify and control a system containing a deadband feature. After describing the deadband, we show how to compute a convenient architecture for the neural network in charge of the identification process. Then, we test this architecture over a noise. Using the same technique, we compute the neural architecture to control a deadband system. The control ...


Studying on the Crisis Management Based on the Control Theory

Liu Yang; Ting Cui 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008

Faced with the evolution of the economic environment, some environmental factors which were easily mastered by enterprises are disintegrating, and the business environment of enterprises are transforming from relatively steady statistic one to more and more complex dynamic one. Today crises have become practically the norm in an environment that is both unstable and unpredictable. Crises have thus proved to ...


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Educational Resources on Control theory

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eLearning

Exponential stability of stochastic MJSNNs with partly unknown transition probabilities

Chunge Lu; Linshan Wang 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), 2013

This paper investigates exponential stability of stochastic Markovian jumping static neural networks (MJSNNs) with mode-dependent time-varying delays and partly unknown transition probabilities. Based on the Lyapunov-Krasovskii functional method and stochastic analysis technique, some new stochastic stability criteria are derived to guarantee the exponential stability in mean square of Markovian jumping static neural networks in terms of linear matrix inequalities. A ...


Time domain passivity control with reference energy behavior

Jee-Hwan Ryu; B. Hannaford; C. Preusche; G. Hirzinger Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003

A recently proposed method for stabilizing haptic interfaces and teleoperation systems was tested with a "PHANToM" commercial haptic device. The "passivity observer" (PO) and "passivity controller" (PC) stabilization method was formed to stabilize the system but also excite high frequency mode in the device. To solve this problem, we propose a method to use a time-varying desired energy threshold instead ...


The design of the embedded digital controller

Guanglai Chen; Shoujun Wang; Lifei Li 2011 International Conference on Electric Information and Control Engineering, 2011

This paper describes the detailed design process and methods, which combines the using of embedded CPU with a special motion control chip embedded motion controller. Through the hardware platform design and software design of the embedded motion controller, it can know that the controller has some advantages, such as low cost, small size, low power consumption, feature-rich and stable characteristics. ...


Identifying and controlling deadband systems using neural networks

G. Cherruel; Y. Autret; F. Dupont Neural Networks, 1995. Proceedings., IEEE International Conference on, 1995

We present a solution to identify and control a system containing a deadband feature. After describing the deadband, we show how to compute a convenient architecture for the neural network in charge of the identification process. Then, we test this architecture over a noise. Using the same technique, we compute the neural architecture to control a deadband system. The control ...


Studying on the Crisis Management Based on the Control Theory

Liu Yang; Ting Cui 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008

Faced with the evolution of the economic environment, some environmental factors which were easily mastered by enterprises are disintegrating, and the business environment of enterprises are transforming from relatively steady statistic one to more and more complex dynamic one. Today crises have become practically the norm in an environment that is both unstable and unpredictable. Crises have thus proved to ...


More eLearning Resources

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IEEE-USA E-Books

  • On Vulnerabilities of IoT???Based Consumer???Oriented Closed???Loop Control Automation Systems

    Automation or automatic control is the utilization of various types of control systems and schemes to accomplish basic or complex electrical, mechanical or other tasks with minimum or no human intervention. While plenty of literature has emerged in very recent years that deal with the repercussions of attacks on industrial systems, there is not much literature addressing the compromising of consumer???oriented processes in the context of Internet of Things (IoT) devices and automation. This chapter addresses two specific areas where vulnerabilities can pose high risks: feedback loops and the utilization of centralized service providers. It highlights vulnerabilities in an area that is gradually being the target of a mix of contributions encompassing specialized subjects such as automatic control theory, control systems engineering, information technology, data science, technical standards, Internet governance, and many others. Because of its relationship and synergy with industrial control systems, the chapter also briefly deals with appropriate concepts in this area.

  • Model Construction

    The systematic design of feedback systems requires an ability to quantify the effect of control inputs (e.g., buffer size) on measured outputs (e.g., response times), both of which may vary with time. Indeed, developing such models is at the heart of applying control theory in practice. In this chapter we introduce linear difference equations to model the dynamics of computing systems and employ insights from queueing theory to construct such models. We discuss briefly how difference equations can be constructed from first principles. Our focus, however, is to construct models using statistical or black-box methods, a process that is referred to as system identification.

  • Bibliography

    Acquire the tools for understanding new architectures and algorithms of dynamical recurrent networks (DRNs) from this valuable field guide, which documents recent forays into artificial intelligence, control theory, and connectionism. This unbiased introduction to DRNs and their application to time-series problems (such as classification and prediction) provides a comprehensive overview of the recent explosion of leading research in this prolific field. A Field Guide to Dynamical Recurrent Networks emphasizes the issues driving the development of this class of network structures. It provides a solid foundation in DRN systems theory and practice using consistent notation and terminology. Theoretical presentations are supplemented with applications ranging from cognitive modeling to financial forecasting. A Field Guide to Dynamical Recurrent Networks will enable engineers, research scientists, academics, and graduate students to apply DRNs to various real-world problems and learn about different areas of active research. It provides both state-of-the-art information and a road map to the future of cutting-edge dynamical recurrent networks.

  • Stabilized Feedback Amplifiers

    This paper describes and explains the theory of the feedback principle and then demonstrates how stability of amplification and reduction of modulation products, as well as certain other advantages, follow when stabilized feedback is applied to an amplifier. The underlying principle of design by means of which singing ia avoided is next set forth. The paper concludes with some examples of results obtained on amplifiers which have been built employing this new principle. The carrier-in-cable system dealt with in a companion paper1 involves many amplifiers in tandem with many telephone channels passing through each amplifier and constitutes, therefore, an ideal field for application of this feedback principle. A field trial of this system was made at Morristown, New Jersey, in which seventy of these amplifiers were operated in tandem. The results of this trial were highly satisfactory and demonstrated conclusively the correctness of the theory and the practicability of its commercial application.

  • Computation of the Exponential Matrix

    Although state variable concepts are a part of modern control theory, they have not been extensively applied in communication theory. The purpose of this book is to demonstrate how the concepts and methods of state variables can be used advantageously in analyzing a variety of communication theory problems. In contrast to the impulse response and covariance function description of systems and random processes commonly used in the analysis of communication problems, Professor Baggeroer points out that a state variable approach describes these systems and processes in terms of differential equations and their excitation, which is usually a white-noise process. Theoretically, such a description provides a very general characterization on which a large class of systems, possibly time varying and nonlinear, can be modeled. Practically, the state variable approach often provides a more representative physical description of the actual dynamics of the systems involved and, most importantly, can lead to solution techniques that are readily implemented on a computer and that yield specific numerical results.The work focuses on how state variables can be used to solve several of the integral equations that recur in communication theory including, for example, the Kahunen-Loeve theorem, the detection of a known signal in the presence of a colored noise, and the Wiener-Hopf equation. The book is divided into two parts. The first part deals with the development from first principles of the state variable solution techniques for homogeneous and inhomogeneous Fredholm integral solutions. The second part considers two specific applications of the author's integral equation theory: to optimal signal design for colored noise channels, and to linear estimation theory.The main thrust o f the material presented in this book is toward finding effective numerical procedures for analyzing complex problems. Professor Baggeroer has combined several different mathematical tools not commonly used together to attack the detection and signal design problems. Numerous examples are presented throughout the book to emphasize the numerical aspects of the author's methods. If the reader is familiar with detection and estimation theory and with deterministic state variable concepts, the ideas, techniques, and results contained in this work will prove highly relevant, if not directly applicable, to a large number of communication theory problems.MIT Research Monograph No. 61

  • Where Do Robots Come From?: A Brief but Gripping History of Robotics

    This chapter contains sections titled: Control Theory, Cybernetics, GreyWalter's Tortoise, Braitenberg's Vehicles, Artificial Intelligence

  • Limitations

    Acquire the tools for understanding new architectures and algorithms of dynamical recurrent networks (DRNs) from this valuable field guide, which documents recent forays into artificial intelligence, control theory, and connectionism. This unbiased introduction to DRNs and their application to time-series problems (such as classification and prediction) provides a comprehensive overview of the recent explosion of leading research in this prolific field. A Field Guide to Dynamical Recurrent Networks emphasizes the issues driving the development of this class of network structures. It provides a solid foundation in DRN systems theory and practice using consistent notation and terminology. Theoretical presentations are supplemented with applications ranging from cognitive modeling to financial forecasting. A Field Guide to Dynamical Recurrent Networks will enable engineers, research scientists, academics, and graduate students to apply DRNs to various real-world problems and learn about different areas of active research. It provides both state-of-the-art information and a road map to the future of cutting-edge dynamical recurrent networks.

  • Optimizing Stochastic and Multiple Fitness Functions

    How does one optimize a fitness function when the values it generates have a stochastic component? How does one simultaneously optimize multiple fitness criteria? These questions are important for many applications of evolutionary computation in an experimental environment. Solutions to these problems are presented along with discussion of situations where they arise, such as modeling and genetic programming. A detailed numerical example from control theory is also provided. In the process, we find that population-based search algorithms are well-suited to such problems.

  • Glossary

    Acquire the tools for understanding new architectures and algorithms of dynamical recurrent networks (DRNs) from this valuable field guide, which documents recent forays into artificial intelligence, control theory, and connectionism. This unbiased introduction to DRNs and their application to time-series problems (such as classification and prediction) provides a comprehensive overview of the recent explosion of leading research in this prolific field. A Field Guide to Dynamical Recurrent Networks emphasizes the issues driving the development of this class of network structures. It provides a solid foundation in DRN systems theory and practice using consistent notation and terminology. Theoretical presentations are supplemented with applications ranging from cognitive modeling to financial forecasting. A Field Guide to Dynamical Recurrent Networks will enable engineers, research scientists, academics, and graduate students to apply DRNs to various real-world problems and learn about different areas of active research. It provides both state-of-the-art information and a road map to the future of cutting-edge dynamical recurrent networks.

  • Relations Between Attenuation and Phase in Feedback Amplifier Design

    This chapter contains sections titled: References Introduction Relations Between Attenuation and Phase in Physical Networks Overall Feedback Loop Characteristics Maximum Obtainable Feedback Relative Importance of Tubes and Circuit in Limiting Feedback Amplifiers of Other Types Example



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