Constraint optimization

In constraint satisfaction, constraint optimization (also called constrained optimization) seeks for a solution maximizing or minimizing a cost function. (Wikipedia.org)






Conferences related to Constraint optimization

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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 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 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

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

  • 1997 American Control Conference - ACC '97

  • 1998 American Control Conference - ACC '98

  • 1999 American Control Conference - ACC '99

  • 2000 American Control Conference - ACC 2000

  • 2001 American Control Conference - ACC 2001

  • 2002 American Control Conference - ACC 2002

  • 2003 American Control Conference - ACC 2003

  • 2004 American Control Conference - ACC 2004

  • 2005 American Control Conference - ACC 2005

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2007 American Control Conference - ACC 2007

  • 2008 American Control Conference - ACC 2008

  • 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.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 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.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 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.

  • 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.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 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.

  • 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.

  • 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.

  • 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.


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.



Periodicals related to Constraint optimization

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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.


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 ...


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 Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...



Most published Xplore authors for Constraint optimization

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Xplore Articles related to Constraint optimization

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Sessions: vector quantisation

1988 IEEE International Symposium on Information Theory., 1988

The following topics are dealt with: entropy-constrained vector quantisation; vector source bit allocation; noisy channels; hyperplane testing; optimal binary codeword assignment; speech and image coding; and asymptotically optimal Voronoi structure.<<ETX>>


A method to compute reactive power margins with respect to v

IEEE Power Engineering Review, 1991

None


Comments on "An algorithm for real-time failure detection in Kalman filters"

IEEE Transactions on Automatic Control, 1998

In the above-mentioned paper by Zolghadri (ibid. vol.41 (1996)) the commenter objects to claims made of providing simpler implementation complexity or computational burden without an explicit mechanization for obtaining a solution ever actually being offered (and operations counts being tallied).


Robust control of feedback linearizable system with the parameter uncertainty and input constraint

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603), 2001

In this paper, a linear matrix inequality (LMI)-based robust combined control method, which is combined model predictive control (MPC) with the feedback linearization (FL), is presented for constrained nonlinear systems with parameter uncertainty. This scheme is designed in the following 3 steps: Polytopic description of nonlinear system with a parameter uncertainty via FL, Mapping of actual input constraint by FL, ...


A balanced clock network design algorithm for clock delay, skew, and power optimization with slew rate constraint

ICONIP '02. Proceedings of the 9th International Conference on Neural Information Processing. Computational Intelligence for the E-Age (IEEE Cat. No.02EX575), 2002

A heuristic algorithm for optimized clock network design is presented. The algorithms for optimization of clock skew, delay, and power considering slew rate constraint for a balanced IC clock tree are implemented using a modified method of cautious approach. Algorithms developed are verified with the model of a real chip, i.e. post layout model of an FPGA chip. HSpice simulations ...



Educational Resources on Constraint optimization

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IEEE.tv Videos

Part 2: Workshop on Benchmarking Quantum Computational Devices and Systems - ICRC 2018
Robot Motion Optimization
Optimization for Robust Motion Planning and Control
A Conversation with…Francesca Rossi: IEEE TechEthics
Multi-Level Optimization for Large Fan-In Optical Logic Circuits - Takumi Egawa - ICRC 2018
Stephen P. Boyd accepts the IEEE James H. Mulligan, Jr. Education Medal - Honors Ceremony 2017
Advances on Many-objective Evolutionary Optimization - IEEE WCCI 2012
How to Cope with an Increasing Number of Objectives in Optimization - Xin Yao - WCCI 2016
Achieving Balance Between Convergence and Diversity in Evolutionary Multi-Objective Optimization - Ke Li
Micro-Apps 2013: Alternative Methods and Optimization Techniques for Vector Modulation
Systems Optimization for Future Networks - IEEE Future Networks Initiative webinar
Research Trends in Evolutionary Multi-Objective Optimization: Past, Present and Future
Compact 75GHz PA with 26.3% PAE & 24GHz Bandwidth - Stephen Callender - RFIC Showcase 2018
Optimization Algorithms for Signal Processing
How to Optimize the Performance of Your RF Layout: MicroApps 2015 - Keysight Technologies
How Symmetry Constrains Evolutionary Optimizers: A Black Box Differential Evolution Case Study - IEEE Congress on Evolutionary Computation 2017
What Can Evolutionary Computation Do for You?
Asynchronous Design for New Device Development - Laurent Fesquet at INC 2019
Geometry of Robot Motion - ICRA 2020
Eva Tardos - IEEE John von Neumann Medal, 2019 IEEE Honors Ceremony

IEEE-USA E-Books

  • Sessions: vector quantisation

    The following topics are dealt with: entropy-constrained vector quantisation; vector source bit allocation; noisy channels; hyperplane testing; optimal binary codeword assignment; speech and image coding; and asymptotically optimal Voronoi structure.<<ETX>>

  • A method to compute reactive power margins with respect to v

    None

  • Comments on "An algorithm for real-time failure detection in Kalman filters"

    In the above-mentioned paper by Zolghadri (ibid. vol.41 (1996)) the commenter objects to claims made of providing simpler implementation complexity or computational burden without an explicit mechanization for obtaining a solution ever actually being offered (and operations counts being tallied).

  • Robust control of feedback linearizable system with the parameter uncertainty and input constraint

    In this paper, a linear matrix inequality (LMI)-based robust combined control method, which is combined model predictive control (MPC) with the feedback linearization (FL), is presented for constrained nonlinear systems with parameter uncertainty. This scheme is designed in the following 3 steps: Polytopic description of nonlinear system with a parameter uncertainty via FL, Mapping of actual input constraint by FL, Optimization of the constrained MPC problem based on LMI. To verify the performance and usefulness of the control method proposed in this paper, some simulations with application to a flexible single link manipulator are performed.

  • A balanced clock network design algorithm for clock delay, skew, and power optimization with slew rate constraint

    A heuristic algorithm for optimized clock network design is presented. The algorithms for optimization of clock skew, delay, and power considering slew rate constraint for a balanced IC clock tree are implemented using a modified method of cautious approach. Algorithms developed are verified with the model of a real chip, i.e. post layout model of an FPGA chip. HSpice simulations at 115/spl deg/C, with CMOS 0.35 /spl mu/m models and parameters show a 60% reduction in the clock slew rate and a 23% improvement in the power dissipation when compared to the results of the initial, unoptimized chip.

  • Input robustification for motion control of systems without rigid-body mode

    Robust proximate-time-optimal inputs can be obtained by carrying out the optimization scheme on an augmented system where the vibrational modes are purposely repeated. This method has been successfully implemented on systems with rigid-body mode in many researchers' work. However, the input robustification for systems without rigid-body mode poses a unique problem because of the time-unboundedness of the input. In this paper, a robustification scheme based on the command shaping technique of constrained least-square optimization is proposed to address this problem and an example is used to illustrate the process. To smooth out in-maneuver oscillation due to the fast maneuver, an energy optimization formulation is presented. The incorporation of the ET (extended insensitivity) technique is also explored to extend the robustness while maintaining a reasonable response speed.

  • A Game Model Based Co-evolutionary Algorithms for Multiobjective Optimization Problems

    In this paper, we discuss multiobjective optimization problems solved by co- evolutionary algorithms. We present a game model based co-evolutionary algorithm (GMBCA) to solve this class of problems and its performance is analyzed in comparing its results with those obtained with four others algorithms. Finally, the GMBCA is applied to solve the nutrition decision making problem to map the Pareto-optimum front. The results in the problem show its effectiveness

  • Phoneme recognition in continuous speech

    An algorithm for phoneme recognition in continuous speech is presented. A continuous matching process is employed to bypass the segmentation problem. A large set of standard patterns is used to solve the allophonic variation problem. Also, a hierarchical recognition algorithm is proposed to realize feasible matching in a real time. In the first stage of the hierarchical recognition algorithm, vowels in speech are spotted. To optimize accuracy in vowel spotting, each standard pattern is carefully selected, constraints on the "phoneme chain" of continuous speech are utilized, and partial standard pattern matching is employed for detailed phoneme analysis. The second stage recognizes consonants between vowels. Experimental results show a 91% vowel recognition rate and 80% consonant recognition rate for a specified speaker.

  • A systematic approach to building high performance software-based CRC generators

    A framework for designing a family of novel fast CRC generation algorithms is presented. Our algorithms can ideally read arbitrarily large amounts of data at a time, while optimizing their memory requirement to meet the constraints of specific computer architectures. In addition, our algorithms can be implemented in software using commodity processors instead of specialized parallel circuits. We use this framework to design two efficient algorithms that run in the popular Intel IA32 processor architecture. First, a 'slicing- by-4' algorithm doubles the performance of existing software-based, table- driven CRC implementations based on the Sarwate (August 1988) algorithm while using a 4K cache footprint. Second, a 'slicing-by-8' algorithm triples the performance of existing software-based CRC implementations while using an 8K cache footprint.

  • A sensitivity-driven parametric electromagnetic design environment

    The paper describes a design environment for electromagnetic devices and systems which links the concepts of variational geometry with sensitivity analysis. The goal is to allow a designer to explore a potential set of solutions to a design problem which has been posed through a rough, parameterized geometric sketch of the desired device



Standards related to Constraint optimization

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No standards are currently tagged "Constraint optimization"