Conferences related to Discrete time systems

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2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


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 International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Discrete time 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 ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Discrete time systems

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Xplore Articles related to Discrete time systems

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IEE Colloquium on 'Discrete Event Systems: A New Challenge for Intelligent Control Systems' (Digest No: 1993/146)

IEE Colloquium on Discrete Event Systems: A New Challenge for Intelligent Control Systems, 1993

None


IEE Colloquium on 'Discrete Event Dynamic Systems - A New Generation of Modelling, Simulation and Control Applications' (Digest No.138)

IEE Colloquium on Discrete Event Dynamic Systems - A New Generation of Modelling, Simulation and Control Applications, 1992

None


Routh type approximation for discrete system

1988., IEEE International Symposium on Circuits and Systems, 1988

A method of reduction for a discrete system is presented. The denominator of the reduced model is directly obtained in z-domain from the denominator of the higher-order system. The denominator of the reduced model is directly obtained from a Routh-type table. The numerator of the reduced model is obtained either by matching the discrete time moments or by minimizing the ...


Counting up of linear lumped parameter systems and their unified representation

ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483), 2001

This paper discloses a lack of general theory for lumped parameter systems, containing continuous time systems, discrete time systems, systems with time delay, and sampled data systems. Also it provides a unified basis for linear systems of lumped parameters. The basis includes signal spaces mapped with real time functions and delta function series, operator notations of integral and time delay, ...


Adaptive control of partially known single-link flexible manipulators

Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments, 1991

This paper presents a robot adaptive control algorithm for a class of partially known continuous time systems in the presence of plant unmodelled dynamics and bounded disturbances. The algorithm is then applied to a single- link flexible manipulator.<<ETX>>


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Educational Resources on Discrete time systems

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IEEE.tv Videos

Accelerating Discrete Fourier Transforms with Dot-product engine - Miao Hu: 2016 International Conference on Rebooting Computing
IEEE 5G Podcast with the Experts: Is it time to change how we think about telecommunications generations?
Robust Qubit Manipulation with Integrated Circuits: Optical Computing - Pérola Milman at INC 2019
Advanced Simulation of Nanodevices - Luca Selmi at INC 2019
2015 IEEE Honors: IEEE Richard W. Hamming Medal - Imre Csiszar
Micro-Apps 2013: Design and Simulation of Phased Arrays in VSS
Innovative Transmission Line Measurement and Characterization Reduce Time to Repair for Complex Communication Systems: MicroApps 2015 - Keysight Technologies
Digital Neuromorphic Design of a Liquid State Machine for Real-Time Processing - Nicholas Soures: 2016 International Conference on Rebooting Computing
Toward Cyber-Physical/Human Systems that are Responsive and Scalable - Jing Li - IEEE Sarnoff Symposium, 2019
Time-series Workloads and Implications for Time-series Databases - Michael Freedman - IEEE Sarnoff Symposium, 2019
Timesharing at MIT, segment 1 of 10
Timesharing at MIT, segment 4 of 10
Timesharing at MIT, segment 6 of 10
Timesharing at MIT, segment 3 of 10
Tech Super Stars Panelist - Marc Bracken: 2016 Technology Time Machine
Panel Q&A - Rebooting Computing: 2016 Technology Time Machine
Transportation Electrification: The Connected Locomotive
Technology Time Machine - Dr. James Truchard Presentation
Karin Hollerbach: Far Futures Panel - TTM 2018
An IEEE IPC Special Session with X. Chen from Nokia Bell Labs

IEEE-USA E-Books

  • IEE Colloquium on 'Discrete Event Systems: A New Challenge for Intelligent Control Systems' (Digest No: 1993/146)

    None

  • IEE Colloquium on 'Discrete Event Dynamic Systems - A New Generation of Modelling, Simulation and Control Applications' (Digest No.138)

    None

  • Routh type approximation for discrete system

    A method of reduction for a discrete system is presented. The denominator of the reduced model is directly obtained in z-domain from the denominator of the higher-order system. The denominator of the reduced model is directly obtained from a Routh-type table. The numerator of the reduced model is obtained either by matching the discrete time moments or by minimizing the step response error constructed in discrete time domain and computed in z-domain. The stability of the reduced model is guaranteed if the higher-order system is stable. A numerical example is examined which involves the determination of a second- order reduced model for a fourth-order digital filter.<<ETX>>

  • Counting up of linear lumped parameter systems and their unified representation

    This paper discloses a lack of general theory for lumped parameter systems, containing continuous time systems, discrete time systems, systems with time delay, and sampled data systems. Also it provides a unified basis for linear systems of lumped parameters. The basis includes signal spaces mapped with real time functions and delta function series, operator notations of integral and time delay, modified sampled data, a new method to classify linear systems, and a unified representation of six classes of linear systems of time-invariant lumped parameters. For demonstrative examples of modified sampled data, the conventional sampled data system models of interpolating circuits are revised due to false counterexamples of Shannon's sampling theorem.

  • Adaptive control of partially known single-link flexible manipulators

    This paper presents a robot adaptive control algorithm for a class of partially known continuous time systems in the presence of plant unmodelled dynamics and bounded disturbances. The algorithm is then applied to a single- link flexible manipulator.<<ETX>>

  • An approximate bound for sampling rate selection

    A simple bound on the maximum gain crossover frequency of a sample data control system is derived. The bound is shown to depend on the plant as well as the sampling rate and the computational delay. The bound is based on the non minimum phase zeros of the discretized system, zeros which are present in nearly all non trivial discrete control systems, even if the continuous time plant is stable, minimum phase and there is no (computation) delay in the system.

  • Uncertainties in Sampled Data Systems

    The contributions of this paper are threefold. We first explore the differences in uncertainty representations and control designs between continuous time systems and discrete time systems, particularly the high frequency interpretation does not work for discrete time systems. It is shown that uncertainties appeared in sampled data systems may be highly structured, however they do not fall into any category which is currently available in the literature. Secondly, we define a measure on these uncertainties which confines a neighborhood to the nominal model in terms of frequency content, and then we propose a control design method which guarantees the stability of the closed loop system in the face of uncertainties. Last, we consider a generalization of a classical continuous time approach in representing the multiplicative uncertainty to sampled data systems by using a slightly modified sampler and present a method to calculate a frequency bound on the uncertainty in sampled data systems.

  • Performance Bounds in${\cal H}_{\infty}$Optimal Control for Stable SISO Plants With Arbitrary Relative Degree

    This note deals with performance bounds for the_H_infin-optimal control of discrete-time LTI plants. The case studied corresponds to stable scalar plants with arbitrary relative degree but no finite non-minimum phase zero. By using Nehari's Theorem and a reformulation of the standard Youla Parameterization a closed-form expression for the characteristic polynomial of the associated eigenvalue problem is obtained. Also, we derive an analytic expression for the optimal_H_infincost as a function of the plant relative degree.

  • Temporal discretization of spatially distributed systems

    There have been efforts previously to use multidimensional system representations for the control of spatially distributed systems. By expressing spatially distributed systems as multidimensional system models, it has been shown that semidefinite programming techniques can be used for control design and analysis. This formulation can in fact be interpreted as the natural generalization of linear fractional transformation based robust control tools to spatially distributed systems. While most models of physical systems are continuous time models, discrete models are required for control implementation. In this paper, we address the issue of constructing discrete time models from continuous time models for spatially distributed systems.

  • Infinite horizon risk-sensitive control of nonlinear discrete time systems

    We consider the infinite horizon risk-sensitive control problem for a discrete time stochastic system defined in terms of a sequence of multidimensional i.i.d. Gaussian random variables with mean zero and variance. A cost functional is to be minimized over an appropriate set of control policies. A method of analysis is given.



Standards related to Discrete time systems

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(Replaced) IEEE Standard VHDL Language Reference Manual

his standard revises and enhances the VHDL language reference manual (LRM) by including a standard C language interface specification; specifications from previously separate, but related, standards IEEE Std 1164 -1993,1 IEEE Std 1076.2 -1996, and IEEE Std 1076.3-1997; and general language enhancements in the areas of design and verification of electronic systems.



Jobs related to Discrete time systems

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