Conferences related to Industrial Process Control

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


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 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.


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Periodicals related to Industrial Process Control

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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, ...


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-- ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


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.


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Most published Xplore authors for Industrial Process Control

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Xplore Articles related to Industrial Process Control

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A direct mapping FPGA architecture for industrial process control applications

Proceedings 2000 International Conference on Computer Design, 2000

Industrial process control is an untapped market for field programmable gate arrays (FPGAs). Programs used for industrial process control are traditionally written in a graphical language called relay ladder logic, and implemented on programmable logic controllers (PLCs). The mapping of ladder logic onto typical FPGAs is a lengthy process, and results are hard to verify. We propose an FPGA architecture ...


Dynamic optimization of multivariable endothermic reaction in cascade CSTR

2010 8th World Congress on Intelligent Control and Automation, 2010

The dynamic optimization problem of a multivariable endothermic reaction in cascade continuous stirred tank reactors is solved with simultaneous method in this paper. Radau collocation is applied in discretization because of its stiff decay and high precision. A two-layer optimization is presented to get a fast convergence rate when dealing with the nonlinear case. In the industry process, the load ...


Reduction of EMI from SMPS (switched mode power supplies) by resonance technique and its utilities in industrial process control instruments

Proceedings of the International Conference on Electromagnetic Interference and Compatibility, 1999

EMI restricts automation of the process control industries. A method of solving EMI problems by using a SMPS power supply and resonating it at high frequency is described. At the same time use of resonance mode SMPS helps by provide advantages of higher efficiency (95%), less heat dissipation, reliability of operation and compactness. This paper is the outcome during development ...


Experience with a Slow Control system based on industrial process control hardware and software for the XENON1T dark matter search

2016 IEEE-NPSS Real Time Conference (RT), 2016

XENON1T is a next generation Dark Matter search experiment using 3.5 tons of liquid xenon for direct detection of Dark Matter. A dual-phase liquid xenon Time Projection Chamber (TPC) shielded below 1400 m of rock at the Gran Sasso underground laboratory in Italy serves as both target and detector. The TPC is inside a 10 m high by 9.5 m ...


A new model for the industrial process control based on Data Mining

2008 Chinese Control and Decision Conference, 2008

In this paper, we propose a new model for the industrial process control based on data mining. It solves the problem to a certain extent, which difficult to diagnose and forecast the state of the aluminium electrolysis cell. It realizes that the control parameter optimized decision-making, and the evolution regularity of the state of aluminium electrolysis also be discovered. Finally, ...


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Educational Resources on Industrial Process Control

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IEEE-USA E-Books

  • A direct mapping FPGA architecture for industrial process control applications

    Industrial process control is an untapped market for field programmable gate arrays (FPGAs). Programs used for industrial process control are traditionally written in a graphical language called relay ladder logic, and implemented on programmable logic controllers (PLCs). The mapping of ladder logic onto typical FPGAs is a lengthy process, and results are hard to verify. We propose an FPGA architecture implementing relay ladder logic directly. Conversion to Boolean algebra is eliminated. Technology mapping is simple and direct. Placement and routing are also considerably simpler than in the general FPGA case. The architecture scales to devices of differing sizes and resources. This paper describes the FPGA architecture, and its role in high performance industrial process control.

  • Dynamic optimization of multivariable endothermic reaction in cascade CSTR

    The dynamic optimization problem of a multivariable endothermic reaction in cascade continuous stirred tank reactors is solved with simultaneous method in this paper. Radau collocation is applied in discretization because of its stiff decay and high precision. A two-layer optimization is presented to get a fast convergence rate when dealing with the nonlinear case. In the industry process, the load variation may be very large and may cause output variable's big overshoot. In order to reduce the overshoot, a segmentation load variation method is introduced. The good results of this nonlinear ordinary differential equations system show the validity of these methods.

  • Reduction of EMI from SMPS (switched mode power supplies) by resonance technique and its utilities in industrial process control instruments

    EMI restricts automation of the process control industries. A method of solving EMI problems by using a SMPS power supply and resonating it at high frequency is described. At the same time use of resonance mode SMPS helps by provide advantages of higher efficiency (95%), less heat dissipation, reliability of operation and compactness. This paper is the outcome during development and maintenance of microcontroller based process control instruments for Nalco, Orissa.

  • Experience with a Slow Control system based on industrial process control hardware and software for the XENON1T dark matter search

    XENON1T is a next generation Dark Matter search experiment using 3.5 tons of liquid xenon for direct detection of Dark Matter. A dual-phase liquid xenon Time Projection Chamber (TPC) shielded below 1400 m of rock at the Gran Sasso underground laboratory in Italy serves as both target and detector. The TPC is inside a 10 m high by 9.5 m diameter water Cherenkov detector serving as an active muon veto. The Slow Control system is based on industrial process control hardware and software. It is now being used to commission the detector. The system provides secure monitoring and control by collaborators, shifters and experts at both local and remote locations. 3.5 tons of liquid xenon requires extreme care to guard the safety of the instrumentation and to prevent the loss of any of the high value xenon. The system consists of a distributed architecture of networked local control units with touch panels for local control. Critical operations can be guarded by requiring specific conditions to be satisfied before they are allowed to be executed. Two Supervisory Control And Data Acquisition (SCADA) computers provide active- passive redundancy. All operating parameters and their history are stored and can be displayed. Alarm messages are sent by email, cellular network and by pre-recorded voice over land telephone lines. Experience with both the benefits and the disadvantages of using industrial process control hardware and software are presented.

  • A new model for the industrial process control based on Data Mining

    In this paper, we propose a new model for the industrial process control based on data mining. It solves the problem to a certain extent, which difficult to diagnose and forecast the state of the aluminium electrolysis cell. It realizes that the control parameter optimized decision-making, and the evolution regularity of the state of aluminium electrolysis also be discovered. Finally, it enhances the electrolysis efficiency, reduces the energy consumption, and makes the industrial process more intelligence.

  • The iterative learning control and convergence analysis for nonlinear industrial process control systems

    In the paper, based on hierarchical control structure in steady-state optimization of industrial processes and iterative learning control law for linear industrial process control systems, the iterative learning control is applied to saturated nonlinear industrial control systems and nonlinear industrial control systems with changing gains. The weighted PD-type closed- loop iterative learning control algorithm and weighted power-type open-closed- loop iterative learning algorithm are discussed respectively. The definitions of /spl delta/-reachability of objective trajectory and /spl epsi/-convergence of the iterative learning control algorithm are suggested. By means of Bellman-Gronwall inequality and /spl lambda/-norm theory, the convergence of the algorithms is also proved. The numerical simulation shows that the iterative learning control can remarkably improve the dynamic performance of industrial control systems in steady-state optimization.

  • Parallelization of industrial process control program based on the technique of differential evolution using multi-threading

    Differential Evolution is a population based optimization technique which discretizes the sample space of solution based on generations of population members and performs a fitness evaluation to determine the best population members. The fitness evaluation process involves lengthy calculations, thus becoming the most redundant and time consuming aspect of the program. The aim of the proposed work is to parallelize an industrial process control program which is based on differential evolution. The parallelization of program has been carried out using a multi-threading approach, in which the independent iterations of the fitness evaluation of Differential Evolution have been distributed uniformly into separate worker threads, which are then simultaneously executed on a multi core architecture GPU machine. By parallelizing the fitness evaluation of the program over the population members in a particular generation, a speed up of 3.99 times in the overall execution time has been observed.

  • Application of optical tomography in industrial process control system

    The overall aim of the project is to investigate the application of an optical tomographic system in an industrial process control system. Measurements were made with lensed optical fibre sensors using a hydraulic flow rig. A custom heating fixture was used to construct the lenses. The system employs a combination of two orthogonal projections consisting of sixteen sensors and two rectilinear projections consisting of twenty two sensors. Optical energy is projected into the measurement volume using a well collimated beam from four projectors. Gas bubbles, with an approximate diameter of 1 cm are injected at the bottom of the gas column. Gas volume flow rates of 0-71/min are being investigated. Optical sensors are intended for use where the conveyed component ratio is less than 10% vol./vol. The purpose of the system is for online monitoring of concentration and velocity profiles in two-phase flows.

  • An Industrial Process Control Studio (IPCS) Development Tool: The IEC 61131-3 Model Capture Features

    We present in this paper the model capture module of an industrial process control studio development tool dedicated to industrial control and process automation. It is through this module that the user is given an avenue to capture or model relevant abstract control problems for rapid prototyping on programmable logic controllers (PLCs) as well as embedded microprocessor systems or even FPGA-based controllers. The model capture tool is a reconfigurable IDE (integrated development environment) that can be used to model a control application using one of the five different PLC programming languages (ladder diagram, sequential function chart, function logic block, structured text, and instruction list) defined by the IEC 61131-3 standard

  • 4–11 µm distributed feedback quantum cascade lasers for environmental monitoring, industrial process control and health diagnostic applications

    We present and review the state-of-the-art results from distributed feedback quantum cascade laser in the wavelength range from 4 to 11 μm for environmental monitoring, industrial process control and health diagnostic applications.



Standards related to Industrial Process Control

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