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IEEE International Conference on Communications

作者： Hossein Shokri-Ghadikolaei Lazaros Gkatzikis Carlo Fischione Automatic Control Department Electrical Engineering and ACCESS KTH Royal Institute of Technology Mathematical and Algorithmic Sciences Lab France Research Center Huawei Technologies Co. Ltd.

ISBN: (纸本)9781467364300

Millimeter wave (mmWave) wireless networks rely on narrow beams to support multi-gigabit data rates. Nevertheless, the alignment of transmitter and receiver beams is a time-consuming operation, which introduces an alignment-throughput tradeoff. A wider beamwidth reduces the alignment overhead, but leads also to reduced directivity gains. Moreover, existing mmWave standards schedule a single transmission in each time slot, although directional communications facilitate multiple concurrent transmissions. In this paper, a joint consideration of the problems of beamwidth selection and scheduling is proposed to maximize effective network throughput. The resulting optimization problem requires exact knowledge of network topology, which may not be available in practice. Therefore, two standard-compliant approximation algorithms are developed, which rely on underestimation and overestimation of interference. The first one aims to maximize the reuse of available spectrum, whereas the second one is a more conservative approach that schedules together only links that cause no interference. Extensive performance analysis provides useful insights on the directionality level and the number of concurrent transmissions that should be pursued. Interestingly, extremely narrow beams are in general not optimal.

关键词： Directional communications Millimeter wave networks Concurrent transmissions Spectral efficiency

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Construction of Approximations of Stochastic control systems: A Compositional Approach

Construction of Approximations of Stochastic Control Systems...

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IEEE Annual Conference on Decision and control

作者： Majid Zamani Matthias Rungger Peyman Mohajerin Esfahani Department of Electrical and Computer Engineering Technische Universitat Munchen D-80290 Munich Germany Automatic Control Laboratory at ETH Zurich and the Risk Analytics and Optimization Chair at ETH Lausanne Switzerland

ISBN: (纸本)9781479978878

In this paper, we provide a compositional framework for the construction of infinite approximations of interconnected stochastic control systems. Our approach is based on a notion of so-called stochastic simulation functions that are associated with interfaces. The stochastic simulation functions are used to quantify the approximation error while the interfaces are used to lift the controllers synthesized for the approximation to the controllers for the original stochastic system. In the first part of the paper, we analyze interconnected stochastic control systems which consist of several stochastic control subsystems. We derive sufficient conditions that facilitate the compositional construction of stochastic simulation functions together with the associated interfaces. Specifically, we show how to construct a stochastic simulation function with the corresponding interface for the interconnected stochastic control system from the simulation functions and interfaces of the individual stochastic control subsystems. In the second part of the paper, we focus on linear stochastic control systems. We extend a methodology, which is known for the non-probabilistic case, to construct infinite approximations of linear stochastic control systems together with their stochastic simulation functions and the corresponding interfaces. Finally, we illustrate the effectiveness of the proposed results on the interconnection of four linear stochastic control subsystems.

关键词： Stochastic control systems emulation function control systems Stochastic approximation controllers Approximation error Interface Interfaces SUB-SYSTEM

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Optimization of membership functions of Sugeno-Takagi fuzzy logic controllers with two inputs and one output using genetic algorithms 10

Optimization of membership functions of Sugeno-Takagi fuzzy ...

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10th International Symposium on Telecommunications, BIHTEL 2014

作者： Kapetanovic, Nadir Osmic, Nedim Konjicija, Samim Department for Automatic Control and Electronics Faculty of Electrical Engineering Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9781479941360

It is well known that the process of tuning a fuzzy logic controller is almost always a very complex task, which is time consuming, very laborious and often requires expert knowledge of the controlled system. Mapping of fuzzy logic controller's parameters (rule base and membership functions of input(s) and output(s)) into a performance measure in a closed analytical form is near impossible to get, and thus the use of any classical optimization method is automatically ruled out. Knowing this, genetic algorithms with a fitness function in a form of cumulative response error represent a good choice of the optimization method. This approach enables the use of offline optimization of membership functions' parameters (which are being coded into chromosomes). Sugeno-Takagi fuzzy logic controllers with a proportional and a derivative component, and also with a fixed rule base are used in this approach. Experimental results of both simulations and validations on real systems are given in this paper and they show the good performance of this approach. © 2014 IEEE.

关键词： DC motors

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Perspectives of Orthonormal Basis Functions Based Kernels in Bayesian System Identification

Perspectives of Orthonormal Basis Functions Based Kernels in...

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IEEE Annual Conference on Decision and control

作者： Mohamed Darwish Gianluigi Pillonetto Roland Toth Control Systems Group Department of Electrical Engineering Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands Information Engineering Department University of Padova Padova 35131 Italy

ISBN: (纸本)9781479978878

Kernel-based regularization approaches for linear time-invariant system identification have been introduced recently. This class of methods corresponds to a particular regularized least-squares methodology that may achieve a favorable bias/variance trade-off compared with classical Prediction Error Minimization (PEM) methods. However, to fully exploit this property, the kernel function itself needs to be appropriately designed for the identification problem at hand to be able to successfully capture all relevant aspects of the data-generating system. Hence, there is a need for a methodology that can accomplish this design step without affecting the simplicity of these approaches. In this paper, we propose a systematic kernel construction mechanism to capture dynamic system behavior via the use of orthonormal basis functions (OBFs). Two special cases are investigated as an illustration of the construction mechanism, namely Laguerre and Kautz based kernel structures. Monte-Carlo simulations show that OBFs-based kernels with Laguerre basis perform well compared with stable spline/TC kernels, especially for slow systems with dominant poles close to the unit circle. Moreover, the capability of Kautz basis to model resonant systems is also shown.

关键词： Orthonormal basis System identification system behavior Monte Carlo technique Unit circle Perspective ILLUSTRATIONS

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On Finite-Horizon Optimal control of First-Order Plus Time Delay systems

On Finite-Horizon Optimal Control of First-Order Plus Time D...

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第27届中国控制与决策会议

作者： Dawei Shi Tongwen Chen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Department of Electrical and Computer Engineering University of Alberta

In this work,a finite-horizon optimal control problem for first-order plus time delay(FOPTD) processes is *** show that if the control horizon is greater than three and the prediction horizon is great than the control horizon plus the time delay in discrete time,the optimal controller is not affected by either of the two ***,under these conditions,the controller parameters are explicitly calculated,the closed-loop system is shown to be stable,and the controller is *** problem considered is related to the results on linear quadratic regulation of linear systems with time delays;however,the detailed parameterization of the state-space model introduced by the FOPTD process provides an additional opportunity to investigate the exact controller structure and properties(e.g.,the locations of the closed-loop poles),which are also the major difficulties encountered and overcome in this *** problem is motivated from phenomena experienced in designing industrial model predictive control(MPC) tuning algorithms,and extensive numerical examples indicate that the proposed results speed up the MPC autotuning algorithms by 70%.

关键词： Optimal control First-order plus time delay process Performance visualization MPC tuning

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Stabilizing Sets of PI/PID controllers for Unstable Second Order Delay System

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International Journal of Automation and computing 2014年第2期11卷 210-222页

作者： Rihem Farkh Kaouther Laabidi Mekki Ksouri Laboratory for Analysis Conception and Control of SystemsLR-11-ES20Department of Electrical EngineeringNational Engineering School of TunisTunis El Manar University

In this paper, the problem of stabilizing an unstable second order delay system using classical proportional-integralderivative(PID) controller is considered. An extension of the Hermite-Biehler theorem, which is applicable to quasi-polynomials, is used to seek the set of complete stabilizing proportional-integral/proportional-integral-derivative(PI/PID) parameters. The range of admissible proportional gains is determined in closed form. For each proportional gain, the stabilizing set in the space of the integral and derivative gains is shown to be a triangle.

关键词： Hermite-Biehler theorem stability PI/PID controllers second order unstable delay system stability region.

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Nuclear Norm Minimization for Blind Subspace Identification (N2BSID)

Nuclear Norm Minimization for Blind Subspace Identification ...

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IEEE Annual Conference on Decision and control

作者： Dexter Scobee Lillian Ratliff Roy Dong Henrik Ohlsson Michel Verhaegen S. Shankar Sastry Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley CA 94720 Delft Center for Systems and Control Delft University Delft The Netherlands

ISBN: (纸本)9781479978878

In many practical applications of system identification, it is not feasible to measure both the inputs applied to the system as well as the output. In such situations, it is desirable to estimate both the inputs and the dynamics of the system simultaneously;this is known as the blind identification problem. In this paper, we provide a novel extension of subspace methods to the blind identification of multiple-input multiple-output linear systems. We assume that our inputs lie in a known subspace, and we are able to formulate the identification problem as rank constrained optimization, which admits a convex relaxation. We show the efficacy of this formulation with a numerical example.

关键词： Subspace System identification Authentication numerical example Linear system

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Pose synchronization of rigid body networks with switching topologies

Pose synchronization of rigid body networks with switching t...

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第三十四届中国控制会议

作者： Juan Deng Wenjun Song Zhixin Liu John S.Baras Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS Division of Optimization and Systems Theory KTH Royal Institute of Technology Electrical Engineering Department and the Institute for Systems Research University of Maryland College Park

ISBN: (纸本)9781467374439

Coordination control of multiple rigid bodies attracts much attention of researchers due to its wide applications. This paper presents the pose synchronization problem of the moving rigid bodies whose dynamics is described by the group SE(3).The case of bidirectional neighbor graphs with switching interconnection topologies is considered. We design a distributed control law based on relative rotation matrices and relative positions between the neighboring rigid bodies, and show that the SE(3)reaches pose synchronization if and only if the neighbor graphs are infinitely jointly connected, which relaxes the theoretical results in the existing literature.

关键词： SE(3),pose synchronization,coordination control,infinitely joint connectivity

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Operation optimization of integrated power and heat energy systems and the benefit on wind power accommodation considering heating network constraints

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Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of electrical engineering 2015年第14期35卷 3596-3604页

作者： Gu, Zepeng Kang, Chongqing Chen, Xinyu Bai, Jianhua Cheng, Lu State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China State Grid Energy Research Institute Changping District Beijing102209 China

With the continuous growth of the installed capacity of wind power in China, the ability of integrating wind power becomes the bottleneck of its development. The electricity generation is determined by the heat supply in the heating period, so that the peak shaving capacity of the combined heat and power (CHP) units is limited by the heat demand, which restricts the wind power integration. Breaking this traditional operation mechanism and interacting the power system with the heating system is the key to alleviate the problem of wind power curtailment. This paper considered the heating network constraints and built up the model of the heating network which could be used in integrated energy systems. Based on it, an operation optimization model of the integrated power and heat energy systems which considered the heating network constraints and thermal unit commitment was proposed. Using this model, this paper proved that coordination the power system with the heating system could play an active role in the promotion of wind power integration. Besides, the impacts of the transmission capacity, the transmission delay and the transmission loss of the heating network were analyzed. © 2015 Chinese Society for electrical engineering.

关键词： Wind power

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Cooperative control in production and logistics

Cooperative control in production and logistics

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作者： Monostori, László Valckenaers, Paul Dolgui, Alexandre Panetto, Hervé Brdys, Mietek Csáji, Balázs Csanád Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary Faculty of Mechanical Engineering Budapest University of Technology and Economics Hungary Department of Health Care and Technology KHLeuven Belgium LIMOS UMR 6158 CNRS Ecole Nationale Supérieure des Mines de Saint-Etienne France CNRS CRAN UMR 7039 France Université de Lorraine CRAN UMR 7039 France School of Electronic Electrical and Computer Engineering University of Birmingham United Kingdom Department of Control Systems Engineering Gdansk University of Technology Gdansk Poland

Classical applications of control engineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety of interacting, interdependent elements. A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities. The paper overviews various distributed approaches and technologies of control engineering and ICT that can support the realization of cooperative structures from the resource level to the level of networked enterprises. Standard results as well as recent advances from control theory, through cooperative game theory, distributed machine learning to holonic systems, cooperative enterprise modeling, system integration, and autonomous logistics processes are surveyed. A special emphasis is put on the theoretical developments and industrial applications of Robustly Feasible Model Predictive control (RFMPC). Two case studies are also discussed: (i) a holonic, PROSA-based approach to generate short-term forecasts for an additive manufacturing system by means of a delegate multi-agent system (D-MAS);and (ii) an application of distributed RFMPC to a drinking water distribution system. © 2015 Elsevier Ltd.

关键词： Model predictive control

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