Conferences related to Nonlinear systems

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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 Applied Power Electronics Conference and Exposition (APEC)

APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics


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 Nonlinear systems

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


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 ...


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.


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Most published Xplore authors for Nonlinear systems

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Xplore Articles related to Nonlinear systems

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Output Frequencies of Nonlinear Systems Under A General Input

2007 IEEE International Conference on Networking, Sensing and Control, 2007

The output frequency ranges under certain input has been investigated as well- known concept in the frequency domain analysis of nonlinear systems. The previous research results provided significant and basic relationship which can be employed in a variety of engineering applications. The paper introduces the algorithm for numerical computation and an analytical relationship expression for the output frequencies of nonlinear ...


Robust approximate optimal sliding mode control for a class of affine nonlinear systems with uncertainties

Proceedings of the 29th Chinese Control Conference, 2010

Integrating the optimal control theory with sliding mode control theory, a global robust optimal sliding mode controller (GROSMC) for a class of affine nonlinear systems with uncertainties is proposed. The optimal control problem for nonlinear systems often leads to a nonlinear HJB (Hamilton Jacobi Bellman) equation which is difficult to solve. Firstly, an approximate optimal control law for nonlinear system ...


Analysis of Output Frequencies of Nonlinear Systems

IEEE Transactions on Signal Processing, 2007

In this paper, an algorithm is derived for the determination of the output frequency ranges of nonlinear systems, which extends previous results on the output frequencies of nonlinear systems to a more general situation. The new results are significant for the analysis of the output frequency response of a wide class of nonlinear systems.


Some Results on Structural Controllability of Nonlinear Systems

2010 International Conference on Intelligent System Design and Engineering Application, 2010

In this paper the conception of "structural controllability" is extended to nonlinear systems. Two conclusions of controllability for general nonlinear systems are showed, at the same time two examples are used to illustrate the application.


Sampled-data models for nonlinear systems with a fractional-order hold

2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC), 2009

For sampled data controller design of nonlinear continuous time systems, it is important to derive a good approximate sampled data model because the exact sampled data model for nonlinear systems is often unavailable to the controller designers. Recently, Yuz and Goodwin have proposed a more accurate approximate model than the simple Euler model in the case of a zero-order hold. ...


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Educational Resources on Nonlinear systems

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IEEE.tv Videos

Fragility of Interconnected Cyber-Physical Systems - Marios M. Polycarpou - WCCI 2016
What's New in Digital Predistortion
IMS 2011 Microapps - Beyond the S-Parameter: The Benefits of Nonlinear Device Models
IMS 2011 Microapps - Panel Session: Nonlinear Measurements
Nonlinear Dynamics and Chaos for Flexible, Reconfigurable Computing - IEEE Rebooting Computing 2017
MicroApps: 200W RF Power Amplifer Design using a Nonlinear Vector Network Analyzer and Measured Load-Dependent X-Parameters (2) (Agilent Technologies)
IMS 2011 Microapps - STAN Tool: A New Method for Linear and Nonlinear Stability Analysis of Microwave Circuits
Nonlinear Material Responses and Their Characterization: An IPC Keynote with Eric Van Stryland
IMS MicroApps: Nonlinear Co-Simulation with Real-Time Channel Measurements
Envelope Time-Domain Characterizations to Assess In-Band Linearity Performances of Pre-Matched MASMOS Power Amplifier: RFIC Interactive Forum 2017
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
Micro-Apps 2013: Advances in Load Pull Simulation
IMS 2011 Microapps - Calibration and Accuracy in Millimeter Systems
Massive MIMO for 5G and Beyond - SaiDhiraj Amuru - India Mobile Congress, 2018
Open Systems Architecture for RF and Microwave Technologies: MicroApps 2015 - Mercury Systems
How to Cope with an Increasing Number of Objectives in Optimization - Xin Yao - WCCI 2016
Harold "Bud" Lawson - IEEE Simon Ramo Medal, 2019 IEEE Honors Ceremony
A Thermodynamic Treatment of Intelligent Systems - IEEE Rebooting Computing 2017
Inside Kiva Systems - Warehouse Robots at Work
ITEC 2014: Urban Mass Transit Systems: Current Status and Future Trends

IEEE-USA E-Books

  • Output Frequencies of Nonlinear Systems Under A General Input

    The output frequency ranges under certain input has been investigated as well- known concept in the frequency domain analysis of nonlinear systems. The previous research results provided significant and basic relationship which can be employed in a variety of engineering applications. The paper introduces the algorithm for numerical computation and an analytical relationship expression for the output frequencies of nonlinear systems under a general input. This can be regarded as an extension to the existing specially designed algorithm for nonlinear output frequency ranges. The new results provide insight for the frequency domain analysis and design of nonlinear systems in more general situations.

  • Robust approximate optimal sliding mode control for a class of affine nonlinear systems with uncertainties

    Integrating the optimal control theory with sliding mode control theory, a global robust optimal sliding mode controller (GROSMC) for a class of affine nonlinear systems with uncertainties is proposed. The optimal control problem for nonlinear systems often leads to a nonlinear HJB (Hamilton Jacobi Bellman) equation which is difficult to solve. Firstly, an approximate optimal control law for nonlinear system without uncertainties is obtained with θ - D method. The method is carried out by solving the HJB equation approximately by adding perturbations to the cost function. Secondly, the sliding mode control theory is used to robustify the designed optimal controller, thus the dynamic system exhibits global robustness to the uncertainties. So a global robust optimal sliding mode controller is realized. Finally, the proposed approach is applied to a ball-beam system. The simulation results show the effectiveness and superiority of the proposed algorithm.

  • Analysis of Output Frequencies of Nonlinear Systems

    In this paper, an algorithm is derived for the determination of the output frequency ranges of nonlinear systems, which extends previous results on the output frequencies of nonlinear systems to a more general situation. The new results are significant for the analysis of the output frequency response of a wide class of nonlinear systems.

  • Some Results on Structural Controllability of Nonlinear Systems

    In this paper the conception of "structural controllability" is extended to nonlinear systems. Two conclusions of controllability for general nonlinear systems are showed, at the same time two examples are used to illustrate the application.

  • Sampled-data models for nonlinear systems with a fractional-order hold

    For sampled data controller design of nonlinear continuous time systems, it is important to derive a good approximate sampled data model because the exact sampled data model for nonlinear systems is often unavailable to the controller designers. Recently, Yuz and Goodwin have proposed a more accurate approximate model than the simple Euler model in the case of a zero-order hold. This paper derives an approximate sampled-data model for nonlinear systems using a fractional-order hold, and analyzes the sampling zero dynamics of the sampled-data model to show a condition which assures the stability of the sampling zero dynamics of the model. It is also shown that the stability of the sampling zero dynamics is improved compared with a zero-order hold.

  • Feedback control for a class of lipschitz nonlinear systems

    The design of state feedback controllers and dynamic output feedback controllers is given for a class of Lipschitz nonlinear systems. We transform the nonlinear systems into linear parameater varying (LPV) systems by the use of the differential mean value theorem (DMVT). A sufficient condition is provided by using linear matrix inequalities (LMIs) and the state feedback controllers and dynamic output feedback controllers are gained. When the feedback control laws are applied to the systems, the closed-loop systems are globally asymptotically stable. A simulation example shows the feasibility and effectiveness of the conclusion.

  • Fault detection for dissipative nonlinear systems: An energy balance method

    This paper addresses the problem of fault detection for dissipative nonlinear systems. A new method based on energy balance is proposed for dissipative nonlinear systems. The nonlinear system is described by the T-S fuzzy model. Based on the dissipation of the T-S fuzzy model, the energy balance is constructed. Then faults can be detected by judging whether the energy balance of system construction is established. The effectiveness of the proposed scheme is illustrated by a numerical example.

  • An LMI approach to fuzzy H<inf>∞</inf>filter design for nonlinear systems

    This paper addresses the problem of H∞filter design for a class of nonlinear systems. The nonlinear plant is represented by a Takagi-Sugeno (T-S) fuzzy model. To begin with, the fuzzy H∞filter is transformed to a new representation form. Then, based on the quadratic Lyapunov function, the method for H∞filter design is proposed for the filtering error system. Since only a set of linear matrix inequalities (LMIs) is involved, the H∞filter gains can be solved directly. A simulation example is demonstrated to show the effectiveness of the proposals.

  • Adaptive tracking and disturbance rejection for uncertain nonlinear systems

    This note addresses the problem of asymptotic tracking of arbitrary smooth bounded reference output signals, with simultaneous rejection of disturbances generated by an unknown linear exosystem. The problem is globally solved by output feedback for the class of nonlinear systems with output dependent nonlinearities and unknown linear parameters, under the assumptions that the system is minimum phase and the relative degree, an upper bound on the system order, the sign of the high-frequency gain are known.

  • Identification of discrete-time varying nonlinear systems using time-varying neural networks

    Iterative learning identification algorithms for time-varying neural networks training are presented, by which neural networks based identification for discrete-time varying nonlinear systems can be carried out, as the system undertaken performs tasks repeatedly over a finite time interval. This paper develops the iterative learning least squares algorithm with dead-zone for the weights updating along the iteration axis. In order to improve the convergence rate, the learning algorithm is modified by re-adjusting the covariance matrix. The proposed algorithms guarantee that the estimation error converges to a bound point wisely over the entire time interval. Numerical results are presented to demonstrate effectiveness of the proposed learning algorithms.



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