检索结果-内蒙古大学图书馆

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

作者： Yuanqing Lin Jingdong Chen Youngmoo Kim Daniel D. Lee GRASP Laboratory Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA Bell Laboratories Alcatel-Lucent Murray Hill NJ USA Electrical and Computer Engineering Department Drexel University Philadelphia PA USA

Estimating time-difference-of-arrival (TDOA) remains a challenging task when acoustic environments are reverberant and noisy. Blind channel identification approaches for TDOA estimation explicitly model multipath reflections and have been demonstrated to be effective in dealing with reverberation. Unfortunately, existing blind channel identification algorithms are sensitive to ambient noise. This paper shows how to resolve the noise sensitivity issue by exploiting prior knowledge about an acoustic room impulse response (RIR), namely, an acoustic RIR can be modeled by a sparse-nonnegative FIR filter. This paper shows how to formulate a single-input two-output blind channel identification into a least square convex optimization, and how to incorporate the sparsity and nonnegativity priors so that the resulting optimization remains convex and can be solved efficiently. The proposed blind sparse-nonnegative (BSN) channel identification approach for TDOA estimation is not only robust to reverberation, but also robust to ambient noise, as demonstrated by simulations and experiments in real acoustic environments.

关键词： Time difference of arrival Acoustic noise Finite impulse response filter Microphones Working environment noise Acoustic reflection Noise robustness Acoustic applications Reverberation Acoustic signal processing

来源：评论

学校读者我要写书评

暂无评论

Adaptive Critic Design Based Neuro-Fuzzy Controller for a Static Compensator in a Multimachine Power System

Adaptive Critic Design Based Neuro-Fuzzy Controller for a St...

引用

IEEE General Meeting Power& Energy Society

作者： Salman Mohagheghi Ganesh K. Venayagamoorthy Ronald G. Harley School of Electrical and Computer Engineering Georgia Institute of Technology Intelligent Power Infrastructure Consortium Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

Summary form only given. This paper presents a novel nonlinear optimal controller for a static compensator (STATCOM) connected to a power system, using artificial neural networks and fuzzy logic. The action dependent heuristic dynamic programming (ADHDP), a member of the adaptive critic designs (ACD) family, is used for the design of the STATCOM neuro-fuzzy controller. This neuro-fuzzy controller provides optimal control based on reinforcement learning and approximate dynamic programming, and can effectively perform in the presence of noise and uncertainties. Using a proportional-integrator approach the proposed controller is capable of dealing with actual rather than deviation signals. The STATCOM is connected to a multimachine power system in order to provide voltage support during the steady state performance of the power system and also improve the dynamic stability of the network during faults and disturbances. Two multimachine power systems are considered in this study: a 10-bus 2-generator system and a 45-bus 10-generator system, where the latter is a section of the Brazilian power grid. Simulation results are provided to show that the proposed controller outperforms a conventional PI controller in large scale faults as well as small disturbances.

关键词： Programmable control Adaptive control Control systems STATCOM Power systems Power system dynamics Power system stability Optimal control Automatic voltage control Power system faults

来源：评论

学校读者我要写书评

暂无评论

Neural-network-based intelligent control for improving dynamic performance of FACTS devices

Neural-network-based intelligent control for improving dynam...

引用

iREP Symposium on Bulk Power System Dynamics and Control

作者： Wei Qiao Ronald G. Harley Ganesh K. Venayagamoorthy Intelligent Power Infrastructure Consortium School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

Flexible AC transmission system (FACTS) devices are widely recognized as powerful controllers to improve the dynamic performance and stability of power systems. The standard FACTS controllers are linear controllers designed around a specific operating point from a linearized system model with fixed parameters. However, at other operating points their performance degrades. Neural-network-based nonlinear intelligent control offers an attractive approach to overcome the drawbacks of the linear controllers. This paper presents two different neural-network-based intelligent control architectures, i.e., indirect adaptive neurocontrol and adaptive critic design based optimal neurocontrol, for designing the external control of an SSSC FACTS device. Simulation studies are carried out to evaluate the proposed nonlinear intelligent controllers on single machine infinite bus as well as multi-machine power systems. Results show that the proposed intelligent controls improve the dynamic performance of the SSSC and the associated power network.

关键词： Intelligent control Power system dynamics Flexible AC transmission systems Power system stability Power system modeling Programmable control Adaptive control Power system simulation Control systems Nonlinear dynamical systems

来源：评论

学校读者我要写书评

暂无评论

Analysis of DC-DC Conversion for Energy Harvesting systems Using a Mixed-Signal Sliding-Mode Controller

Analysis of DC-DC Conversion for Energy Harvesting Systems U...

引用

Annual IEEE Conference on Power Electronics Specialists (PESC)

作者： Nathaniel J. Guilar Rajeevan Amirtharajah Paul Hurst University of California Center Sacramento Sacramento CA US Micropower Circuits and Systems Group Department of Electrical and Computer Engineering University of California Davis CA USA Solid-State Research Laboratory Department of Electrical and Computer Engineering University of California Davis CA USA

Increasing efficiencies in electronic devices have opened the door for energy harvesters to power wireless systems by scavenging energy from solar, thermal, or mechanical sources. The design of an efficient power supply that can regulate scavenged energy to produce stable voltages for multiple loads is presented here. To limit energy dissipation and increase the flexibility of the regulator, a discrete-time sliding-mode controller is presented. The performance of sliding-mode controllers is hard to predict because their switching frequency and output voltage ripple are dependent on duty cycle and load conditions. An analytical approach for the closed-loop steady- state behavior of a discrete-time sliding-mode controller is presented here. The proposed analytical solution matches measured results to within 4% for duty cycles ranging between 0.1 and 0.9.

关键词： Sliding mode control Control systems Regulators Finite impulse response filter Voltage Pulse width modulation Samarium Power supplies Circuits Passive filters

来源：评论

学校读者我要写书评

暂无评论

Modeling of Light Propagation through Biological Tissues: A Novel Approach

Modeling of Light Propagation through Biological Tissues: A ...

引用

Frontiers in the Convergence of Bioscience and Information Technologies, FBIT

作者： Chintha C. Handapangoda Malin Premaratne Leslie Yeo James Friend Advanced Computing and Simulation Laboratory (AXL) Department of Electrical and Computer Systems Engineering Monash University Clayton VIC Australia Micro/Nanophysics Research Laboratory (MNRL) Department of Mechanical Engineering Monash University Clayton VIC Australia

An efficient numerical technique for modeling biological tissues using the radiative transfer equation is presented. Time dependence of the transient radiative transfer equation is approximated using Laguerre expansion. Azimuthal angle is discretized using the discrete ordinates method and the resulting set of ordinary differential equations is solved using the Runge-Kutta-Felhberg method.

关键词： Biological system modeling Optical propagation Biological tissues Equations Biology computing Laboratories Numerical models Azimuthal angle Optical scattering Cancer detection

来源：评论

学校读者我要写书评

暂无评论

Structural bottlenecks for communication in networks

引用

Physical Review E 2007年第3期75卷 036105-036105页

作者： Sameet Sreenivasan Reuven Cohen Eduardo López Zoltán Toroczkai H. Eugene Stanley Center for Polymer Studies and Department of Physics Boston University Boston Massachusetts 02215 USA Center for Nonlinear Studies Theoretical Division Los Alamos National Laboratory MS B258 Los Alamos New Mexico 87545 USA Laboratory of Networking and Information Systems and Department of Electrical and Computer Engineering Boston University Boston Massachusetts 02215 USA Department of Physics University of Notre Dame Notre Dame Indiana 46556 USA

We consider the effect of network topology on the optimality of packet routing which is quantified by γc, the rate of packet insertion beyond which congestion and queue growth occurs. We show that for any network, there exists an absolute upper bound, expressed in terms of vertex separators, for the scaling of γc with network size N, irrespective of the static routing protocol used. We then derive an estimate to this upper bound for scale-free networks and introduce a static routing protocol, the “hub avoidance protocol,” which, for large packet insertion rates, is superior to the shortest path routing protocol.

关键词： Packet networks

来源：评论

学校读者我要写书评

暂无评论

TRACKING CONTROL IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

引用

Asian Journal of Control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

来源：评论

学校读者我要写书评

暂无评论

Global Output-Feedback Stabilization for a Class of Stochastic Non-Minimum-Phase Nonlinear systems

Global Output-Feedback Stabilization for a Class of Stochast...

引用

IEEE Conference on Control Technology and Applications (CCTA)

作者： Shu-Jun Liu Zhong-Ping Jiang Ji-Feng Zhang Laboratory of Systems and Control Academy of Mathematics and Systems Science슠Chinese Academy of Sciences China Department of Electrical and Computer Engineering Polytechnic University Brooklyn NY USA Laboratory of Systems and Control Academy of Mathematics and Chinese Academy of Sciences China

In this paper, the output-feedback stabilization problem is investigated for the first time for a class of stochastic nonlinear systems whose zero dynamics may be unstable. Under the assumption that the inverse dynamics of the system is stochastic input-to-state stabilizable, a stabilizing output-feedback controller is constructively designed by the integrator backstepping method together with a new reduced-order observer design and the technique of changing supply functions. It is shown that, under small-gain type conditions, the resulting closed-loop system is globally asymptotically stable in the probabilistic sense. The obtained results extend the existing methodology from deterministic systems to stochastic systems.

关键词： Stochastic systems Nonlinear systems Control systems Nonlinear control systems Backstepping Nonlinear dynamical systems Mathematics Control theory Linear systems Programmable control

来源：评论

学校读者我要写书评

暂无评论

Fault tolerant relative navigation using inertial and relative sensors

Fault tolerant relative navigation using inertial and relati...

引用

AIAA Guidance, Navigation, and Control Conference 2007

作者： Hoffmann, Gabriel M. Gorinevsky, Dimitry Mah, Robert W. Tomlin, Claire J. Mitchell, Jennifer D. Department of Aeronautics and Astronautics Stanford University Mitek Analytics LLC United States AIAA United States Electrical Engineering Department Stanford University United States SSRL Group Lead NASA Ames Research Center United States Department of Aeronautics and Astronautics United States Hybrid Systems Laboratory Stanford University United States Department of Electrical Engineering and Computer Sciences University of California Berkeley United States EG6/GN and C Autonomous Flight Systems Office Aeroscience and Flight Mechanics Division NASA Johnson Space Center United States Mitek Analytics LLC United States

ISBN: (纸本)1563479044

Many emerging applications of space, ground, marine, and air vehicles require relative automated navigation with respect to other vehicles and objects. Disturbances in the environment may cause faults in relative navigation sensors. For sensors based on cameras or laser range finders, events as common as lighting changes, glint, or obstruction by debris could potentially cause spurious responses. Relative navigation is safety critical-fault tolerance must be addressed. We propose a fault detection, identification, and recovery architecture using multiple moving horizon estimators, each for a separate hypothesis of the fault state of the system. The hypothesis with maximum empirical likelihood is selected. Detected and identified faults are reported to the main navigation filter, which may then discard the relative navigation sensor data, and instead temporarily rely on the inertial navigation system. The guidance system may also act on the identified fault state, taking actions to recover the system to a safe state. This logic is demonstrated in simulation for the automated rendezvous and docking (AR&D) of spacecraft-a key technology for the near future demands of the space program. The simulation results demonstrate that faulty relative sensors may seriously affect the navigation solution. The proposed fault detection scheme has demonstrated an ability to identify faults in these sensors and take them offline before they disrupt navigation and lead to mission failure.

关键词： Sensors

来源：评论

学校读者我要写书评

暂无评论

DHP-Based Wide-Area Coordinating Control of a Power System with a Large Wind Farm and Multiple FACTS Devices

DHP-Based Wide-Area Coordinating Control of a Power System w...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Wei Qiao Ganesh K. Venayagamoorthy Ronald G. Harley Intelligent Power Infrastructure Consortium (IPIC) in the School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory in the Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area monitor and wide-area coordinating neurocontroller (WACNC), based on wide-area measurements, for a power system with power system stabilizers, a large wind farm, and multiple flexible ac transmission system (FACTS) devices. The wide-area monitor is a radial basis function neural network (RBFNN) that identifies the input-output dynamics of the nonlinear power system. Its parameters are optimized through a particle swarm optimization (PSO) based method. The WACNC is designed by using the dual heuristic programming (DHP) method and RBFNNs. It operates at a global level to coordinate the actions of local power system controllers. Each local controller communicates with the WACNC, receives remote control signals from the WACNC to enhance its dynamic performance, and therefore helps improve system-wide dynamic and transient performance.

关键词： Power system control Control systems Power systems Wind farms Power system dynamics Power system measurements Monitoring Flexible AC transmission systems Power system transients Power industry

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：