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IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

作者： K. Dongare S. Chakrabarti E. Kyriakides Department of Electrical Engineering Indian Institute of Technology Kanpur UP India KIOS Research Center for Intelligent Systems and Networks and the Department of Electrical and Computer Engineering at the University of Cyprus Nicosia Cyprus

One common problem associated with interconnected power systems is that the complete topology information and measurement data of the areas are not generally available or difficult to handle in real-time. This paper proposes a methodology to determine in real-time the reduced networks for the systems external to a given area. A sensitivity-based methodology is proposed to identify the nodes to be retained from the external areas. A network reduction methodology is then used to obtain the reduced equivalent for the entire system. A real-time network parameter adjustment algorithm is subsequently used to update the parameters of the reduced network under changes in operating condition. The proposed methods are validated with the help of the modified IEEE 14-bus and IEEE 118-bus systems.

关键词： Load modeling Equations Real-time systems Sensitivity analysis Mathematical model Computational modeling

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Adaptive Beamforming Using Variable Step-Size LMS Algorithm with Novel ULA Array Configuration

Adaptive Beamforming Using Variable Step-Size LMS Algorithm ...

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2013 15th IEEE International Conference on Communication Technology

作者： Raed M.Shubair Ali Hakam Electrical and Computer Engineering Department Khalifa UniversityUnited Arab Emirates Center for intelligent Antennas and Radio Systems University of WaterlooCanada

This paper proposes a new array geometry and a variable step-size(VSS) LMS algorithm to improve adaptive beamforming in smart antenna *** beamformer based on the proposed array geometry coupled with the use of VSSLMS is capable of resolving signals arriving from narrowband sources propagating plane waves close to the array *** proposed array configuration comprises of doubly crossed uniform linear arrays(ULAs) so that the size and computational load of the proposed array is identical to that of a 2Nelement conventional ULA,while beamforming accuracy and angular resolution are higher for narrowband signals arriving at directions close to the array *** of the VSSLMS algorithm and proposed ULA configuration is investigated with respect to the variation of a number of parameters related to the signal environment and array *** of numerical simulation are used to design smart antenna systems with optimal performance.

关键词： smart antenna,beamforming,ULA,LMS,VSS-LMS.

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Accurate detection and estimation of radio signals using a 2D novel smart antenna array

Accurate detection and estimation of radio signals using a 2...

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IEEE International Conference on Electronics, Circuits and systems (ICECS)

作者： A. Hakam R. M. Shubair Electrical and Computer Engineering Department Khalifa University United Arab Emirates Center for Intelligent Antenna and Radio Systems University of Waterloo Canada

This paper investigates the problem of Direction of Arrival (DOA) estimation using a 2D novel smart antenna array configuration that was recently presented by the authors in [1]. The proposed 2D novel configuration overcomes the drawback of uniform linear array (ULA) which cannot detect signals arriving at grazing incidence. The proposed 2D novel array configuration is able to resolve signals arriving from narrowband plane wave sources close to the array endfire. The proposed array configuration comprises of doubly crossed uniform linear arrays (ULAs) so that the size and computational load of the proposed array is identical to that of a 2N-element conventional ULA. MUltiple SIgnal Classification (MUSIC) is used as a tool of radio signal detection and estimation. A comparative study between ULA and the proposed 2D novel array is carried out in terms of effect of SNR (signal to noise ratio), number of scatterers, and number of snapshots.

关键词： Arrays Direction-of-arrival estimation Vectors Multiple signal classification Estimation Antennas Noise

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A manually-actuated MRI compatible robotic manipulator for image-guided interventions

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Physica Medica 2014年 30卷 e55-e56页

作者： Eftychios G. Christoforou Christoforos Keroglou Andrew Webb Nikolaos V. Tsekos Ioannis Seimenis KIOS Research Center for Intelligent Systems and Networks University of Cyprus Cyprus Department of Electrical and Computer Engineering University of Cyprus Cyprus C.J. Gorter Center for High Field MRI Leiden University Medical Center Leiden Netherlands Medical Robotics Laboratory University of Houston Houston TX USA Med. Physics Lab Medical School Democritus University of Thrace Alexandroupolis Greece

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Decentralized Multi-robot Cooperative Localization using Covariance Intersection

Decentralized Multi-robot Cooperative Localization using Cov...

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IEEE/RSJ International Conference on intelligent Robots and systems

作者： Luis C. Carrillo-Arce Esha D. Nerurkar Jose L. Gordillo Stergios I. Roumeliotis Center for Robotics and Intelligent Systems (CRIS) Tecnologico de Monterrey Monterrey NL 64849 MEX Department of Computer Science and Engineering University of Minnesota Minneapolis MN 55455 USA

ISBN: (纸本)9781467363563

In this paper, we present a Covariance Intersection (CI)-based algorithm for reducing the processing and communication complexity of multi-robot Cooperative Localization (CL). Specifically, for a team of N robots, our proposed approximate CI-based CL approach has processing and communication complexity only linear, O(N), in the number of robots. Moreover, and in contrast to alternative approximate methods, our approach is provably consistent, can handle asynchronous communication, and does not place any restriction on the robots' motion. We test the performance of our proposed approach in both simulations and experimentally, and show that it outperforms the existing linear-complexity split CI-based CL method.

关键词： communication complexity Asynchronous communication Robot Covariance Decentralized

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Event-based optimization with non-stationary uncertainties to save energy costs of HVAC systems in buildings

Event-based optimization with non-stationary uncertainties t...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Biao Sun Peter B. Luh Qing-Shan Jia Bing Yan Center for Intelligent and Networked Systems (CFINS) TNList Tsinghua University Beijing China Department of Electrical and Computer Engineering University of Connecticut Storrs CT USA

Building accounts for nearly 40% of global energy consumption, and about 40% of that is consumed by HVAC systems. A typical way of saving HVAC energy cost is to formulate and solve the HVAC operation problem which minimizes the HVAC energy cost in 24 hours ahead. Traditionally, the problem is solved by using time-based approaches where decisions are calculated and executed at each discrete time instant. In this paper, an innovative event-based approach is developed in the Lagrangian relaxation framework so that the decisions are only calculated and executed on an “as needed” basis to reduce computational requirements and extend device lifetimes. Developing such an event-based approach is challenging since with a finite time horizon of 24 hours and non-stationary uncertainties in weather, cooling load, etc., there is no steady-state solution. Events and actions are therefore time-dependent, causing the policy space to be extremely large. Our key idea to overcome this difficulty is to 1) include time-dependent variables that affect decisions in the definition of events so that events and actions will become time-independent and the size of event-based policy will be reduced significantly; and 2) develop a Q-learning method based on events within the Lagrangian relaxation framework to obtain the optimal actions. Numerical results demonstrate significant reductions of computational efforts as compared with time-based approaches with similar levels of energy savings and human comfort.

关键词： Q-factor Cooling Optimization Buildings Uncertainty Meteorology Steady-state

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An adaptive P300 model for controlling a humanoid robot with mind

An adaptive P300 model for controlling a humanoid robot with...

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IEEE International Conference on robotics and Biomimetics

作者： Mengfan Li Wei Li Jing Zhao Qinghao Meng Fuchun Sun Genshe Chen The Institute of Robotics and Autonomous Systems Tianjin University Tianjin China Department of Computer & Electrical Engineering and Computer Science California State University Bakersfield California USA the Institute of Robotics and Autonomous Systems Tianjin University Tianjin China Department of Computer Science and Technology Tsinghua University Beijing China The Intelligent Fusion Technology Inc. Germantown MD

ISBN: (纸本)9781479927456

This paper presents a P300 model for controlling a humanoid robot with mind, including an off-line phase with a fixed trial number for training the model and an on-line phase with an adaptive strategy for generating commands to the humanoid robot. Our control scheme includes a procedure of acquiring P300 signals, topographical distribution analysis of P300 signals, and a classification approach to identifying subjects' mental activities regarding robot-walking behavior. Our study shows that the adaptive model is fast and practical to control humanoid robot via brainwaves.

关键词： Adaptation models Humanoid robots Accuracy Context Brain modeling Testing

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Using general sound descriptors for early autism detection

Using general sound descriptors for early autism detection

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Asian Control Conference

作者： Seyyed Hamid R. Ebrahimi Motlagh Hadi Moradi Hamidreza Pouretemad Advanced Robotics and Intelligent Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran ARIS and CIPCE School of ECE College of Engineering University of Tehran Iran Shahid Beheshti University Tehran Tehran IR

ISBN: (纸本)9781467357661

Early detection of autism is crucial for successfully dealing with it and reduce/eliminate its effects. In other words, early treatment can make a big difference in the lives of many children with this disorder. Consequently, in this study the pattern recognition algorithms are used to determine the unique features of the voice of autistic children to distinguish between the autistic children and normal children between ages 2 and 3. These descriptors extract various audio features such as temporal features, energy features, harmonic features, perceptual and spectral features. Two feature selection methods are used and the results are compared. One method is based on comparing the effect of using all of a group features together and another method compares the effect of using features one by one. The selected features are used to classify selected children into autistic and non-autistic ones. The results show 96.17 percent accuracy. After feature selection, we classified data using S.V.M classifier for recognizing two types of input data.

关键词： Autism Feature extraction Mel frequency cepstral coefficient Educational institutions Harmonic analysis Accuracy Motion pictures

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Evolving systems: Disturbance Accommodating Adaptive Key Component Control

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IFAC Proceedings Volumes 2013年第19期46卷 535-540页

作者： Mark J. Balas Susan A. Frost Department of Electrical and Computer Engineering University of Wyoming Laramie WY 82071 USA (Tel: 307-766-5599 Intelligent Systems Division NASA Ames Research Center Moffett Field CA 94025 USA

This paper presents an introduction to Evolving systems, which are autonomously controlled subsystems which self-assemble into a new Evolved System with a higher purpose. Evolving systems of aerospace structures often require additional control when assembling to maintain stability during the entire evolution process. This is the concept of Adaptive Key Component Control which operates through one specific component to maintain stability during the evolution. In addition this control must overcome persistent disturbances that occur while the evolution is in progress. We present theoretical results for the successful operation of Adaptive Key Component control in the presence of such disturbances and an illustrative example.

关键词： Spacecraft dynamics control guidance and navigation Guidance control and estimation theory

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Incommensurate order fractional optimal control: Application to treatment of psychiatric disorders

Incommensurate order fractional optimal control: Application...

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Iranian Conference on electrical engineering (ICEE)

作者： S. S. Tabatabaei M. J. Yazdanpanah M. S. Tavazoei Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Advanced Control Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Tehran Iran Electrical Engineering Department Sharif University of Technology Tehran Iran

ISBN: (纸本)9781467356329

The main point of this paper is to present a time domain strategy for drug dosage to treat psychiatric disorders. A time domain model of emotion is obtained from an extension of a recently developed fractional nonlinear dynamic model of happiness. First, the Fractional Optimal Control law for incommensurate multi state systems is obtained. It will be then applied as an optimal drug administration procedure in the line of psychiatric disorders treatment. Results of this paper show that optimal control scheme is a proper approach to face the difficulties of analysis and control the incommensurate systems. It can be also clearly seen from the simulation results that this approach is very effective in the case that control methods are used as treatment techniques.

关键词： Mathematical model Drugs Optimal control Numerical models Differential equations Equations

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