Conferences related to Observers

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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 Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Observers

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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.


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, ...


Circuits and Systems II: Express Briefs, 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.


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, ...


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Most published Xplore authors for Observers

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Xplore Articles related to Observers

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Design and study of robust sliding-mode observers for dynamical system with unknown inputs distribute

2008 7th World Congress on Intelligent Control and Automation, 2008

The states estimation of dynamic system plays an essential role in the fields of science research and engineering application. The designing method of robust sliding mode observers with unknown disturbance is proposed in this paper, and the novel robust sliding mode observers and the optimal sliding strategies are designed by using the simplified technique based on the singular value decomposition ...


Fault Detection and Isolation Based on Optimal Fault-Tolerant Observers for Linear System

2010 International Conference on Electrical and Control Engineering, 2010

The problem of diagnosing the actuator faults and sensor faults of linear system with the methods of fault detection and isolation (FDI) technology and optimal fault-tolerant observers is addressed. The measurable outputs used to reconstruct states for the system carry the fault information, which may affect the performance of the system state estimation. In this paper, by comparing the measurable ...


The fault diagnosis problem: A comparative study based on dedicated observers and unknown inputs observers

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2014

Two methods based on state observers applied to fault diagnosis are presented in this paper. These methods are based on analysis of error signals known as residuals, which are generated from the comparison between the actual system output and the estimated output. A comparative study about these two methods applied to a hydraulic liquid level system is presented in simulation.


Estimation of vehicle clutch torque using combined sliding mode observers and unknown input observers

2014 14th International Conference on Control, Automation and Systems (ICCAS 2014), 2014

Precise clutch control is a crucial factor in determining the ride quality of the production vehicle and its performance has been enhanced by accurate estimation of involved clutch torque or pressure, especially during gear changing phase (torque phase / inertia phase). Unfortunately, torque or pressure sensor is not available in production cars because of its cost, installation, and maintenance issues. ...


Design of a class of non-linear observers for fault diagnosis

1999 European Control Conference (ECC), 1999

This communication deals with the problem of fault detection for a class of nonlinear systems using unknown input observers. Sufficient conditions for existence and stability of such observers are investigated. Based on linear matrix inequality (LMI) approach a design algorithm is proposed. The procedure includes constraints on detection performances and robustness to unknown inputs. Simulations results applied to a permanent ...


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Educational Resources on Observers

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IEEE-USA E-Books

  • Design and study of robust sliding-mode observers for dynamical system with unknown inputs distribute

    The states estimation of dynamic system plays an essential role in the fields of science research and engineering application. The designing method of robust sliding mode observers with unknown disturbance is proposed in this paper, and the novel robust sliding mode observers and the optimal sliding strategies are designed by using the simplified technique based on the singular value decomposition technology to guarantee robustness to the uncertainties and external disturbances. The Lyapunov function is used as the critical condition of the stable observers which ensures the consistent convergence of the designed observers and the anticipative results of states estimation. The simulation results of the VTOL helicopter model illustrate the effectiveness of the proposed algorithms, and the characteristics of good track and the robustness to the unknown input disturbances in the designed sliding observers are proved by compared with ones of Luenberger observers.

  • Fault Detection and Isolation Based on Optimal Fault-Tolerant Observers for Linear System

    The problem of diagnosing the actuator faults and sensor faults of linear system with the methods of fault detection and isolation (FDI) technology and optimal fault-tolerant observers is addressed. The measurable outputs used to reconstruct states for the system carry the fault information, which may affect the performance of the system state estimation. In this paper, by comparing the measurable outputs, reliable outputs without fault is selected as the input of the reconstructed system. Then reduced order optimal fault- tolerant observers are used to track the system states. Based on the FDI technology, residual observers are designed to achieve the fault detection for the linear system. Case studies demonstrate the effectiveness of FDI technology and optimal fault-tolerant observers method used in fault detection and isolation.

  • The fault diagnosis problem: A comparative study based on dedicated observers and unknown inputs observers

    Two methods based on state observers applied to fault diagnosis are presented in this paper. These methods are based on analysis of error signals known as residuals, which are generated from the comparison between the actual system output and the estimated output. A comparative study about these two methods applied to a hydraulic liquid level system is presented in simulation.

  • Estimation of vehicle clutch torque using combined sliding mode observers and unknown input observers

    Precise clutch control is a crucial factor in determining the ride quality of the production vehicle and its performance has been enhanced by accurate estimation of involved clutch torque or pressure, especially during gear changing phase (torque phase / inertia phase). Unfortunately, torque or pressure sensor is not available in production cars because of its cost, installation, and maintenance issues. This study mainly focuses on the accurate estimation of the clutch torques for the vehicles with automatic transmission using sliding mode observers and unknown input observers. Sliding mode observer is selected because of its applicability to nonlinear systems and characteristics of its robustness to model uncertainties. The required values for estimation include the engine map, torque converter characteristic curve, and various vehicle parameters such as gear ratio and inertia. Using the above-mentioned information, sliding mode observer is constructed without additional sensors. The proposed observer is validated by computer simulation using commercial software Matlab & Simulink. The estimated output shaft torque can be used as a reference for optimal clutch control and torque sensor which is not possible in the production car can be replaced with those developed observers.

  • Design of a class of non-linear observers for fault diagnosis

    This communication deals with the problem of fault detection for a class of nonlinear systems using unknown input observers. Sufficient conditions for existence and stability of such observers are investigated. Based on linear matrix inequality (LMI) approach a design algorithm is proposed. The procedure includes constraints on detection performances and robustness to unknown inputs. Simulations results applied to a permanent magnet synchronous machine illustrate the potential of the method.

  • Weak observability and observers for linear neutral delay-differential systems

    Observability concepts and observers are discussed for linear neutral delay- differential systems, according to an algebraic approach (ring theory). For delay systems of retarded type, various schemes for developing exact and asymptotic observers may be found in [5] and [9]. We investigate here the procedures for the extension to the neutral case. Let us mention that the proofs to derive the necessary and sufficient conditions for systems over a ring (or for delay-differential systems) to be detectable are not constructive inasmuch as they do not explicit any state observers for these systems (see for instance [2], [3]). The methods derived in this paper then appear as an alternative which actually leads to the observation of the retarded state, this observation being effective modulo some internal delays of the system. Moreover, an original model, which includes the initial conditions, is presented.

  • Design of parametric finite time functional observers in linear time-invariant systems

    A design problem of the parametric finite time functional observers in the linear time-invariant systems is investigated. The aim is to design the parametric form of the functional observers which can estimate directly the linear functions of the state for the linear time-invariant systems in a predefined finite time. Based on the parametric solutions for a class of Sylvester matrix equation, this paper presents the parametric expressions of all the gain matrices for the finite time functional observers, in which the free parameters can offer all the design degrees of freedom for control system design. Finally, a numerical example and its simulation results show the simplicity and effectiveness of the proposed design method of parametric finite time functional observers in the linear time-invariant systems.

  • Robustness of nonlinear observers — Application to biological models

    Due to the measurement problems encountered in many biotechnological applications, observers are basic ingredients of advanced model based control algorithms. The measurement problem can only be attacked properly by designing nonlinear observers. The large process uncertainty always present when dealing with biological processes necessitates a robustness analysis of the observers. In this paper the robustness against parametric and structural uncertainty is studied of an observer based on local linearisation in the original coordinates.

  • Load Frequency Control of Power Systems With Electric Vehicles and Diverse Transmission Links Using Distributed Functional Observers

    This paper presents a load frequency control scheme using electric vehicles (EVs) to help thermal turbine units to provide the stability fluctuated by load demands. First, a general framework for deriving a state-space model for general power system topologies is given. Then, a detailed model of a four- area power system incorporating a smart and renewable discharged EVs system is presented. The areas within the system are interconnected via a combination of alternating current/high voltage direct current links and thyristor controlled phase shifters. Based on some recent development on functional observers, novel distributed functional observers are designed, one at each local area, to implement any given global state feedback controller. The designed observers are of reduced order and dynamically decoupled from others in contrast to conventional centralized observer (CO)-based controllers. The proposed scheme can cope better against accidental failures than those CO- based controllers. Extensive simulations and comparisons are given to show the effectiveness of the proposed control scheme.

  • Parameterization of full-order PI observers in second-order linear systems

    Based on the parametric solutions to a generalized second-order Sylvester equation, a parametric method to solve the design of full-order PI observers is proposed in second-order linear systems. This proposed method presents the parametric expressions for the feedback gain matrices and the left eigenvector matrix of the full-order PI observers. An illustrative example shows the effectiveness and simpleness of the proposed method.



Standards related to Observers

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