Conferences related to Distributed Parameter Systems

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier 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.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive 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.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive 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.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive 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.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. 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.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 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

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)

AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.


2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

One of the flagship conferences for the IEEE Robotics and Automation Society (RAS)


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Periodicals related to Distributed Parameter Systems

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It 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, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


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Most published Xplore authors for Distributed Parameter Systems

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Xplore Articles related to Distributed Parameter Systems

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Identification of one class of distributed parameter systems based on Chebyshev polynomials

2008 27th Chinese Control Conference, 2008

In this paper, we studied the identification issue of one class of distributed parameter systems based on the Chebyshev polynomials. The proposed method translates distributed parameter systems into lumped parameter systems by casting state functions into the space spanned by Chebyshev polynomials, and identification can be made with the algorithm of least square parameter estimation. There is no approximation in ...


Input-Output finite-time stability and stabilization for a class of distributed parameter systems

2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE), 2017

In this paper, the input-output finite-time stability and stabilization for distributed parameter systems was studied. The concept of input-output finite- time stability for distributed parameter systems was defined. By employing Lyapunov functional theory, sufficient conditions of input-output finite-time stability for distributed parameter systems were given. Sufficient conditions for the existence of distributed state feedback controllers which ensure the closed-loop distributed ...


A new model reduction strategy for nonlinear distributed parameter systems

2011 IEEE International Conference on Computer Science and Automation Engineering, 2011

A new model reduction strategy is proposed for nonlinear distributed parameter systems which the first principle modeling described by partial differential equation have dominant linear terms. Spectral method, combining balanced truncation model reduction and neural networks (NN) are used to construct the low-dimensional approximation of nonlinear distributed parameter systems. The strategy amounts to finding computationally efficient and stable substitute models ...


Finite-time stabilization for a class of distributed parameter systems

Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012

The concept of finite-time stability and stabilization for distributed parameter systems is introduced by the definition of finite-time stability for linear systems. The design of state feedback controllers and dynamic output feedback controllers is given for a class of distributed parameter systems. A sufficient condition is provided by using linear matrix inequality(LMI). When the feedback control laws are applied to ...


Solvability problem of nonlinear singular distributed parameter systems

2015 34th Chinese Control Conference (CCC), 2015

The solvability problem of nonlinear singular distributed parameter systems is discussed by nonlinear GE-semigroup in Banach space. The constructive expression of the strong solution of nonlinear singular distributed parameter systems is given.


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Educational Resources on Distributed Parameter Systems

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IEEE-USA E-Books

  • Identification of one class of distributed parameter systems based on Chebyshev polynomials

    In this paper, we studied the identification issue of one class of distributed parameter systems based on the Chebyshev polynomials. The proposed method translates distributed parameter systems into lumped parameter systems by casting state functions into the space spanned by Chebyshev polynomials, and identification can be made with the algorithm of least square parameter estimation. There is no approximation in dealing with boundary conditions, and high accuracy can be achieved by few polynomials. Numerical example is conducted to demonstrate the validity and accuracy of the proposed method.

  • Input-Output finite-time stability and stabilization for a class of distributed parameter systems

    In this paper, the input-output finite-time stability and stabilization for distributed parameter systems was studied. The concept of input-output finite- time stability for distributed parameter systems was defined. By employing Lyapunov functional theory, sufficient conditions of input-output finite-time stability for distributed parameter systems were given. Sufficient conditions for the existence of distributed state feedback controllers which ensure the closed-loop distributed parameter systems be input-output finite-time stable were also proposed. Finally, a numerical example was given to illustrate our results.

  • A new model reduction strategy for nonlinear distributed parameter systems

    A new model reduction strategy is proposed for nonlinear distributed parameter systems which the first principle modeling described by partial differential equation have dominant linear terms. Spectral method, combining balanced truncation model reduction and neural networks (NN) are used to construct the low-dimensional approximation of nonlinear distributed parameter systems. The strategy amounts to finding computationally efficient and stable substitute models for the nonlinear distributed parameter systems. The potential of the strategy is illustrated using spatio-temporal temperature evolution of catalytic rod as an example and The simulation shows that the present strategy is superior to spectral method directly to nonlinear DPS.

  • Finite-time stabilization for a class of distributed parameter systems

    The concept of finite-time stability and stabilization for distributed parameter systems is introduced by the definition of finite-time stability for linear systems. The design of state feedback controllers and dynamic output feedback controllers is given for a class of distributed parameter systems. A sufficient condition is provided by using linear matrix inequality(LMI). When the feedback control laws are applied to the systems,the closed-loop systems are finite-time stable.

  • Solvability problem of nonlinear singular distributed parameter systems

    The solvability problem of nonlinear singular distributed parameter systems is discussed by nonlinear GE-semigroup in Banach space. The constructive expression of the strong solution of nonlinear singular distributed parameter systems is given.

  • An optimal point-wise control method for parabolic distributed parameter systems

    An optimal point-wise control method for parabolic distributed parameter systems is proposed to solve the problem of determining both the locations of point-wise controllers and the control which should be exerted on each controller. For a given number of point-wise controllers, the optimal point- wise control form is given by solving a quadratic cost control problem, and the controller locations and the control are determined by minimizing the quadratic control cost performance index. The result indicates the method proposed is effective at solving the optimal point-wise control problem for parabolic distributed parameter systems.

  • The sliding mode variable structure control for a class of interval distributed parameter systems with time-delay

    The sliding mode control (SMC) problems are researched for a class of interval distributed parameter systems with time-delay. Firstly, this system is represented in the distributed parameter systems with parameter uncertainty, and a sufficient condition for robust asymptotically stable is obtained for the sliding mode by constructing Lyapunov functions, employing linear matrix inequality (LMI). Secondly, a variable structure control (VSC) law is designed, and, the time estimation is given on starting from the initial position of any sate trajectory curve to arrive sliding-model area. Finally, a numerical example is given, and the feasibility and effectiveness of this method is explained.

  • Stability of neutral distributed parameter systems based on LMI approach

    Asymptotical stability of a class of neutral distributed parameter systems is researched. The sufficient conditions of neutral distributed parameter systems' asymptotical stability is given by constructing the appropriate Lyapunov functionals, employing divergence theorem and matrix inequality technologies, using linear matrix inequality approach. The derived sufficient conditions need to satisfy two linear matirx inequalities, and Its can be sovled easily by LMI toolbox in Matlab and be applied to engineering practice conveniently. Finally, A numerical example is given to illustrate the validity of the method.

  • A finite-dimensional uncertainty modeling for parabolic distributed parameter systems

    A finite-dimensional uncertainty modeling scheme for parabolic type of distributed parameter systems with frequency dependent error bound is presented where the eigenparameters are only partially known. A nominal model and also uncertainty weight characterizing the least additive error bound are explicitly shown.

  • Sampled-data control for linear time-delay distributed parameter systems

    This paper considers the sampled-data control problem of linear time-delay distributed parameter systems (DPSs) described by partial differential equations (PDEs). By utilizing a Lyapunov functional, a sampled-data controller is proposed to stabilize exponentially the time-delay PDE. The stabilization condition is presented in the formulation of linear matrix inequalities (LMIs). Finally, simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.



Standards related to Distributed Parameter Systems

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IEEE Recommended Practice on Software Reliability

Software reliability (SR) models have been evaluated and ranked for their applicability to various situations. Many improvements have been made in SR modeling and prediction since 1992. This revised recommended practice reflects those advances in SR since 1992, including modeling and prediction for distributed and network systems. Situation specific usage guidance was refined and updated. The methodologies and tools included ...



Jobs related to Distributed Parameter Systems

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