Conferences related to Optimal Control And Optimization

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


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 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


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Periodicals related to Optimal Control And Optimization

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

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


Biomedical Engineering, IEEE Transactions on

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


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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 Optimal Control And Optimization

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Xplore Articles related to Optimal Control And Optimization

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Optimal control and optimization for a class of repetitive processes

2007 International Workshop on Multidimensional (nD) Systems, 2007

This paper gives new results on optimization and optimal control of discrete linear repetitive processes. These are for the class of so-called wave processes which have recently been introduced to describe physical examples which contain dynamics not captured by previously considered models.


On All Sets of Optimal Controls for a Control System with State Feedback

2007 Chinese Control Conference, 2007

We claim the sets of controls for control systems modeled with a multiple and simultaneous control (MSC) approach using Controlled Dan/Petri nets+, and the net structure_Σc(q)_is the optimal set compared with Controlled Petri nets, however there are other control sets which are still optimal. In this paper we present an algorithm to find all sets of controls which are optimal, ...


Reducing energy consumption through trajectory optimization for a metro network

IEEE Transactions on Automatic Control, 1975

The techniques of optimal control and optimization are applied to a practical problem of reducing energy consumed by the Montreal Metro (subway) system. The problem considered is the determination of tunnel trajectories in the "equivalent" vertical plane when trains traveling in both directions must follow the same trajectory. The problem is first formulated as a control problem with control and ...


Toward asymptotically optimal motion planning for kinodynamic systems using a two-point boundary value problem solver

2015 IEEE International Conference on Robotics and Automation (ICRA), 2015

We present an approach for asymptotically optimal motion planning for kinodynamic systems with arbitrary nonlinear dynamics amid obstacles. Optimal sampling-based planners like RRT*, FMT*, and BIT* when applied to kinodynamic systems require solving a two-point boundary value problem (BVP) to perform exact connections between nodes in the tree. Two-point BVPs are non-trivial to solve, hence the prevalence of alternative approaches ...


Analysis and approximation of optimal control problems with nonlinear constraints

Proceedings of 1994 33rd IEEE Conference on Decision and Control, 1994

A general framework for treating nonlinearly constrained optimal control and optimization problems is given. Based on a set of hypotheses, optimal solutions are shown to exist and the use of language multipliers to enforce the constraints is justified. An optimality system is derived whose solutions provide the optimal states and controls. Finite dimensional approximations are then considered: an approximate problem ...


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Educational Resources on Optimal Control And Optimization

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IEEE.tv Videos

Optimization for Robust Motion Planning and Control
Optimal Design of NPC and Active-NPC Transformerless PV Inverters
Achieving Balance Between Convergence and Diversity in Evolutionary Multi-Objective Optimization - Ke Li
Quadrotor Trajectory Tracking with L1 Optimal control
Fuzzy Dynamic Programming: A Step Towards Cognitive Dynamic Programming
Tutorial: Model Predictive Control of Power Electronic Converters, Part Two, Tomislav Dragicevic - IECON 2018
High Frequency Magnetic Circuit Design for Power Electronics
ITEC 2014: Moving Toward an Optimal Electrified Propulsion Unit: A Multi-Physics Approach
Tutorial: Model Predictive Control of Power Electronic Converters, Part One, Jose Rodriguez - IECON 2018
How Symmetry Constrains Evolutionary Optimizers: A Black Box Differential Evolution Case Study - IEEE Congress on Evolutionary Computation 2017
Adaptive Learning and Optimization for MI: From the Foundations to Complex Systems - Haibo He - WCCI 2016
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
Inspiring Brilliance: The impact of control theory and cybernetics of Maxwell's paper: On governors
Robot Motion Optimization
Micro-Apps 2013: Alternative Methods and Optimization Techniques for Vector Modulation
How to Cope with an Increasing Number of Objectives in Optimization - Xin Yao - WCCI 2016
Research Trends in Evolutionary Multi-Objective Optimization: Past, Present and Future
Micro-Apps 2013: Advances in Load Pull Simulation

IEEE-USA E-Books

  • Optimal control and optimization for a class of repetitive processes

    This paper gives new results on optimization and optimal control of discrete linear repetitive processes. These are for the class of so-called wave processes which have recently been introduced to describe physical examples which contain dynamics not captured by previously considered models.

  • On All Sets of Optimal Controls for a Control System with State Feedback

    We claim the sets of controls for control systems modeled with a multiple and simultaneous control (MSC) approach using Controlled Dan/Petri nets+, and the net structure_Σc(q)_is the optimal set compared with Controlled Petri nets, however there are other control sets which are still optimal. In this paper we present an algorithm to find all sets of controls which are optimal, posses the MSC-logic and are modeled with a new net structure called_Σxf(q)_, explain the conditions when they are not optimal and a partial order for such sets.

  • Reducing energy consumption through trajectory optimization for a metro network

    The techniques of optimal control and optimization are applied to a practical problem of reducing energy consumed by the Montreal Metro (subway) system. The problem considered is the determination of tunnel trajectories in the "equivalent" vertical plane when trains traveling in both directions must follow the same trajectory. The problem is first formulated as a control problem with control and state constraints. Then, under certain simplifying assumptions, an heuristic method employing a direct search algorithm is presented and used in the trajectory optimization. The trajectories are optimized to reduce the sum of the energy consumed by the trains traveling in both directions on the trajectory. The results show an average reduction of 7.73 percent in energy consumption as compared with existing trajectories. The trajectories found using the method presented here will be followed in future tunnel construction.

  • Toward asymptotically optimal motion planning for kinodynamic systems using a two-point boundary value problem solver

    We present an approach for asymptotically optimal motion planning for kinodynamic systems with arbitrary nonlinear dynamics amid obstacles. Optimal sampling-based planners like RRT*, FMT*, and BIT* when applied to kinodynamic systems require solving a two-point boundary value problem (BVP) to perform exact connections between nodes in the tree. Two-point BVPs are non-trivial to solve, hence the prevalence of alternative approaches that focus on specific instances of kinodynamic systems, use approximate solutions to the two-point BVP, or use random propagation of controls. In this work, we explore the feasibility of exploiting recent advances in numerical optimal control and optimization to solve these two-point BVPs for arbitrary kinodynamic systems and how they can be integrated with existing optimal planning algorithms. We combine BIT* with a two-point BVP solver that uses sequential quadratic programming (SQP). We consider the problem of computing minimum-time trajectories. Since the duration of trajectories is not known a-priori, we include the time-step as part of the optimization to allow SQP to optimize over the duration of the trajectory while keeping the number of discrete steps fixed for every connection attempted. Our experiments indicate that using a two-point BVP solver in the inner-loop of BIT* is competitive with the state- of-the-art in sampling-based optimal planning that explicitly avoids the use of two-point BVP solvers.

  • Analysis and approximation of optimal control problems with nonlinear constraints

    A general framework for treating nonlinearly constrained optimal control and optimization problems is given. Based on a set of hypotheses, optimal solutions are shown to exist and the use of language multipliers to enforce the constraints is justified. An optimality system is derived whose solutions provide the optimal states and controls. Finite dimensional approximations are then considered: an approximate problem is defined, and optimal error estimates are derived. The general framework has been applied to numerous concrete settings. We illustrate its use in the context of a magnetohydrodynamics control problem.<<ETX>>

  • Performance analysis and admission control in multimedia communication networks

    We address the problem of efficient resource allocation and quality of service (QoS) provision in modern high-speed, multimedia, communication networks. We quantify QoS by the probabilities of loss and excessive delay of an arbitrary packet, and introduce the model of a multiclass node (switch) which accommodates sessions that may belong to multiple service classes. We treat such a node as a stochastic system which we analyze and control. The results in Bertsimas et al. (1996) provide us with a large deviations asymptotic on the buffer overflow probability per service class. We use the same approach, which is based on ideas from large deviations, optimal control and optimization, to derive a similar asymptotic for the probability of excessive delay. We exploit these performance analysis results by devising a call admission control algorithm which restricts the number of users accessing the network to guarantee a desirable level of QoS. Finally, we discuss practical issues and establish that the proposed algorithm can be implemented in real- time. Our conclusions are reinforced by experiments with actual traffic patterns.

  • [Front cover]

    The following topics are discussed: system theory and control theory; nonlinear system; complexity and complex system theory; distributed parameter systems; hybrid systems and DEDS; large scale systems; stochastic systems; stability and stabilization; modeling, identification and signal processing; optimal control and optimization; robust and H<sub>infin</sub> control; adaptive control and learning control; variable structure control; neural networks; fuzzy system and fuzzy control; pattern recognition; control design; CIMS and manufacturing systems; motion control; intelligent robot; distributed control systems; information processing systems; fault diagnosis; communication network systems; GA and evolutionary computing; transportation systems; biological and ecological systems; social economy systems; industrial systems; lunar lander; iterative learning control; networked control systems; quantum control and quantum information; automotive systems.

  • Proceedings of the 2003 IEEE International Symposium on Intelligent Control (IEEE Cat. No.03CH37461)

    The following topics are dealt with: adaptive control; machine learning control; advanced control; neural network control; fuzzy systems control and applications; intelligent mobile robotics systems and techniques; optimal control and optimization; manufacturing systems; signal processing; complex systems and applications; path planning and navigation; computer vision; fault detection; soft computing; autonomous systems; development in nonlinear control designs; factory automation.

  • Proceedings of the 27th Chinese control conference [cover]

    The following topics are dealt with: system theory and control theory; nonlinear system and control; complexity and complex system theory; distributed parameter systems; hybrid systems and DEDS; large scale systems; stochastic systems; stability and stabilization; modeling, identification and signal processing; optimal control and optimization; adaptive control and learning control; variable structure control; neural networks; fuzzy system and fuzzy control; pattern recognition; control design; GA and evolutionary computing; motion control; intelligent robot; distributed control systems; information processing systems; fault diagnosis; communication network systems; CIMS and manufacturing systems; transportation systems; bio and ecological systems; social economy systems; industrial systems.



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