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IEEE International Conference on systems, Man, and Cybernetics

作者： JunQi Zhang ZeZhou Li Qi Kang MengChu Zhou Key Laboratory of Embedded System and Service Computing Ministry of Education Department of Computer Science and Technology Tongji University Department of Control Science and Engineering Tongji University Department of Electrical and Computer Engineering New Jersy Institute of Technology

ISBN: (纸本)9781479938414

Interacting with a random environment, Learning Automata (LAs) are automata that, generally, have the task of learning the optimal action based on responses from the environment. Distinct from the traditional goal of Learning Automata to select only the optimal action out of a set of actions, this paper considers a multiple-action selection problem and proposes a novel class of Learning Automata for selecting an optimal subset of actions. Their objective is to identify the optimal subset: the top k out of r actions. Based on conventional continuous pursuit and discretized pursuit learning schemes, this paper introduces four pursuit learning schemes for selecting the optimal subset, called continuous equal pursuit, discretized equal pursuit, continuous unequal pursuit and discretized unequal pursuit learning schemes, respectively. In conjunction with a reward-inaction learning paradigm, the above four schemes lead to four versions of pursuit Learning Automata for selecting the optimal subset. The simulation results present a quantitative comparison between them.

关键词： Learning Automata Optimal subset Pursuit algorithm

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Modeling and analysis of inertia aerodynamic effect of titan aerobot

Modeling and analysis of inertia aerodynamic effect of titan...

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AIAA SPACE 2014 Conference and Exposition

作者： Li, Zhibin Fan, Chunshi Li, Minghang Lin, Xianwu Wu, Lei Wang, He Jiang, Jianer Science and Technology on Space Intelligent Control Laboratory BICE Beijing 100190 China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology 100194 China School of Electrical and Computer Engineering Purdue University IN 47907 United States Department of Automation Xiamen University Fujian 361005 China Science and Technology on Space Intelligent Control Laboratory BICE Beijing China Suzhou Fangzhou Aeromodelling Co. Ltd. Suzhou 215156 China

ISBN: (纸本)9781624102578

Research is done from the point of flight mechanics on Titan Aerobot. Consdering there are some errors in exstiong literatures on atmospheric temperature and density models for Titan, atmospheric environment model was built by polynomial fitting including temperature, density, pressure, viscosity and wind field models. The kinetic model of the airship was derived considering dynamic buoyancy effect, wind field disturbance and time varying mass characteristics. Also, repetitive calculation of Munk moment was avoided. Finally, after determining mass, inertia matrix, added mass tensor and apparent inertia tensor of LRC Titan Aerobot, the dynamic process is simulated by Matlab. Results shows that inertia aerodynamic force has significant influence on the airship motion and that repetitive calculation of Munk moment can produce wrong results.

关键词： Airships

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A MATHEMATICAL APPROACH TO DESYNCHRONIZATION OF COUPLED OSCILLATORS： APPLICATION TO A NEURONAL ENSEMBLE

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International Journal of Biomathematics 2013年第2期6卷 173-189页

作者： GHAZAL MONTASERI ARAS ADHAMI-MIRHOSSEINI MOHAMMAD JAVAD YAZDANPANAH Advanced Control Systems Laboratory School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Advanced Control Systems LaboratoryControl and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Synchronization of neurons plays an important role in vision, movement and memory. However, many neurological disorders such as epilepsies, Parkinson disease and essen- tial tremor are related to excessive synchronization of neurons. In the line of therapy, stimulations to these pathologically synchronized neurons should be capable of breaking synchrony. As the first step of designing an effective stimulation, we consider desynchro- nization problem of coupled limit-cycle oscillators ensemble. First, the desynchronization problem is redefined in a nonlinear output regulation framework. Then, we design an output regulator （stimulation） which forces limit-cycle oscillators to track exogenous sinusoidal references with different phases. The proposed stimulation is robust against variations of oscillators＇ frequencies. Mathematical analysis and simulation results reveal the efficiency of the proposed technique.

关键词： Limit-cycle oscillators nonlinear output regulation synchrony suppression robust stimulation.

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MMOSPA-based direction-of-arrival estimation for planar antenna arrays

MMOSPA-based direction-of-arrival estimation for planar ante...

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Sensor Array and Multichannel Signal Processing Workshop

作者： Marcus Baum Peter Willett Uwe D. Hanebeck Department of Electrical and Computer Engineering University of Connecticut USA Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Karlsruhe Institute of Technology (KIT) Germany

This work is concerned with direction-of-arrival (DOA) estimation of narrowband signals from multiple targets using a planar antenna array. We illustrate the shortcomings of Maximum Likelihood (ML), Maximum a Posteriori (MAP), and Minimum Mean Squared Error (MMSE) estimation, issues that can be attributed to the symmetry in the likelihood function that must exist when there is no information about labeling of targets. We proffer the recently introduced concept of Minimum Mean OSPA (MMOSPA) estimation that is based on the optimal sub-pattern assignment (OSPA) metric for sets and hence inherently incorporates symmetric likelihood functions.

关键词： Direction-of-arrival estimation Arrays Maximum likelihood estimation Vectors Antenna arrays

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Model-based Predictive control of Wheeled Omni-directional Robots Considering Nonlinear Dynamical Constraints and Input Delay

Model-based Predictive Control of Wheeled Omni-directional R...

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International Conference on control, Automation, Robotics & Vision

作者： Mahdi Zarghami Ahmad Fakharian Amin Ganjali Poudeh Aras Adhami-Mirhosseini Mechatronics Research Laboratory (MRL) Faculty of Electrical Biomedical and Mechatronics Engineering Qazvin Branch Islamic Azad University Qazvin Iran Advanced Control Systems Lab. School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781479952007

The main enthusiasm of the use of MPC in this study relies on its ability in including state and control constraints that naturally comes up in practical problems. At the same time, nonlinearity of constraints compels the numerical solution of optimization problem. Therefore, a number of intelligent algorithms to overcome nonlinear optimization of the cost function is reviewed, however, their time consuming computations are considered as a dominant limitation. Meantime, due to its remarkable advantages, the motion control of Omni-directional mobile robot is handled by design of NMPC scheme. Furthermore, a novel kinematic model for the application of mobile robot is represented. As a demonstration for the proposed model, simulation results show that settling time is reduced 22% in comparison with ideal kinematic model and also the performance of the suggested control strategy shows its effectiveness in presence of disturbance and noise in all environments.

关键词： Robot kinematics Optimization Mobile robots Mathematical model Kinematics Trajectory

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Dynamic simulation based on Jacobian-free Newton-GMRES methods with adaptive preconditioner for power systems

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Science China(Technological Sciences) 2013年第8期56卷 2037-2045页

作者： HUANG ShaoWei CHEN Ying SHEN Chen MEI ShengWei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments(Department of Electrical Engineering Tsinghua University)

Dynamic simulation is one of the most complex and important computations for power systems *** solutions based on normal Newton iterations almost all depend on evaluations of Jacobian matrixes,which increases the programming complexity of and limits the parallelizability of the whole *** this paper,a new adaptive preconditioned Jacobian-free Newton-GMRES(m)method is proposed to be applied to dynamic simulations of power *** new method has totally Jacobian-free characteristics,which saves calculations and storages of Jacobian matrixes and features strong ***,several speedup strategies are introduced to enhance efficiency and parallelizability of overall *** tests are carried out on IEEE standard test systems and results show that in series computing environment,simulations based on the proposed method have comparable speed to those based on classical Newton-Raphson methods.

关键词： dynamic simulation Newton-GMRES preconditioner power system

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Multiple Access Gaussian Channels with Feedback

Multiple Access Gaussian Channels with Feedback

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IEEE Annual Conference on Decision and control

作者： J. S. Freudenberg R. H. Middleton Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 Centre for Complex Dynamic Systems and Control The University of Newcastle 2308 Australia

ISBN: (纸本)9781467360890

We consider the problem of multiple access communication with feedback, and show that the well known schemes of Ozarow and Kramer may be represented as feedback systems with a marginally unstable decoder. Other approaches represent these schemes as feedback systems with a strictly unstable encoder. Both approaches achieve the same rate of convergence, however the latter has a Bode sensitivity function which can be very large, indicating the potential for poor robustness and disturbance response.

关键词： Sensitivity Transmitters Signal to noise ratio Decoding Estimation error Eigenvalues and eigenfunctions Correlation

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Assessment of national carbon dioxide emission factors for the Lithuanian fuel combustion sector

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Greenhouse Gas Measurement & Management 2014年第1期4卷 14页

作者： Konstantinaviciute, Inga Miskinis, Vaclovas Norvaisa, Egidijus Bobinaite, Viktorija [a] Laboratory of Energy Systems Research Lithuanian Energy Institute Breslaujos str. 3 Kaunas LT-44403 Lithuania[b] Faculty of Electrical and Control Engineering Department of Electrical Power Systems Kaunas Technology University Studentu str. 48 Kaunas LT-51367 Lithuania

This paper aims at deriving country-specific CO2 emission factors for fuels combusted in the Lithuanian energy sector. Rigorously assessed country-specific CO2 emission factors will contribute to accurate and reliable estimates of CO2 emissions. The paper presents the methods applied to derive country-specific CO2 emission factors together with their recommended values and uncertainties for various types of fuels. Analysis of the data provided by the plant operators participating under the European Union emission trading system and aggregation of the measurements results of the accredited research laboratories allowed to determine country-specific CO2 emission factors for the different types of fuels. Uncertainties of recommended CO2 emission factors were derived at a fuel type-specific level. It was set that recommended values of CO2 emission factors are within the uncertainty range of the IPCC default values. The application of determined country-specific CO2 emission factors in the Lithuanian energy sector increases accuracy and decreases uncertainty of the national greenhouse gas inventory.

关键词： carbon dioxide country-specific emission factor fuel combustion uncertainty

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Thermodynamic costs in implementing Kalman-Bucy filters 52

Thermodynamic costs in implementing Kalman-Bucy filters

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2014 52nd Annual Allerton Conference on Communication, control, and Computing, Allerton 2014

作者： Sandberg, Henrik Delvenne, Jean-Charles Newton, Nigel J. Mitter, Sanjoy K. Department of Automatic Control KTH Royal Institute of Technology Stockholm Sweden ICTEAM and CORE Université Catholique de Louvain Louvain-la-Neuve Belgium School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom Laboratory for Information and Decision Systems MIT CambridgeMA United States

ISBN: (纸本)9781479980093

In this paper, we investigate fundamental limits for physical implementations of the Kalman-Bucy filter for state estimation of a class of linear port-Hamiltonian systems. In particular, for the studied class of systems we show the Kalman-Bucy filter itself is a port-Hamiltonian systems and by invoking the second law of thermodynamics, we can characterize the external power supply needed to generate an optimal state estimate. We also show how the required external power supply can be decreased by allowing the filter to perturb the measured system to a larger extent. Hence, it is possible to decrease the so-called back action of the filter by spending more energy. We illustrate our results using passive electric circuits. © 2014 IEEE.

关键词： State estimation

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Identification of inactive constraints for SCED model considering uncertain power injection

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Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of electrical engineering 2014年第34期34卷 6050-6057页

作者： Ding, Tao Bo, Rui Guo, Qinglai Sun, Hongbin Huang, Can Li, Fangxing State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China Midwest ISO St. Paul MN55108 United States Department of Electrical Engineering and Computer Science The University of Tennessee Knoxville TN37996 United States

With the constant expansion of power grid, a large number of security constraints have put tremendous challenges to the online economic dispatch. An efficient tool to eliminate the inactive constraints becomes necessary for security constraints economic dispatch (SCED) in large power systems. In this paper, considering the uncertainty of renewable energy integration, a fast and effective method to identify the inactive security constraints was proposed. Firstly, the definition of uncertain inactive security constraints and a necessary and sufficient condition to identify those were presented respectively. Considering the time-consuming identification, we relaxed the feasible region of original SCED model and utilized greedy algorithm to quickly eliminate part of inactive constraints. Then another necessary and sufficient condition was proposed and verified, where the remaining inactive constraints could be identified. Through the simulation of 24-time periods 9-bus system and 96-time periods IEEE 118-bus system, the speed and effectiveness of proposed method were verified. Moreover, the results can help dispatch operators to locate the transmission lines with the highest congestion risk. © 2014 Chin. Soc. for Elec. Eng.

关键词： Scheduling

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