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Multi-Innovation Stochastic Gradient Identification Methods

Multi-Innovation Stochastic Gradient Identification Methods

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Feng Ding Tongwen Chen Control Science and Engineering Research Center Southern Yangtze University Wuxi Jiangsu China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

The stochastic gradient (SG) identification algorithm has a poor convergence rate. We extend the SG algorithm from the viewpoint of innovation modification and present multi-innovation stochastic gradient (MISG) identification algorithms. Since the multi-innovation stochastic gradient algorithms use not only the current data but also the past data at each iteration, parameter estimation accuracy can be improved. Further, we study the performance of the SG and MISG algorithms and show that the MISG algorithms have faster convergence rates and better tracking performance than their corresponding SG algorithms by simulation results

关键词： Stochastic processes Convergence Parameter estimation Eigenvalues and eigenfunctions Stochastic systems Technological innovation Gradient methods Linear regression Vectors Stochastic resonance

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Multiscale Face Detection: A New Approach to Robust Face Detection

Multiscale Face Detection: A New Approach to Robust Face Det...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： M. Aghagolzadeh H. Soltanian-Zadeh B.N. Araabi Department of Electrical and Computer Engineering University of Tehran Tehran Iran Radiologyimageanalaysis laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

This paper presents a novel method for detecting multiple frontal faces in still images using multi-scale processing. The main characteristic of this algorithm is its stability in detecting faces with seldom false detections and a high correct detection rate. The novelty of this work comes from the utilization of multiscale detection and using two classifiers to reduce false detections. The algorithm generally has two stages: in the first stage, a face is detected in a unique scale and in the second stage, only the faces that are located in the neighbor scales are accepted as real faces. Consequently, a still image is first resized and scanned block wise, and then each enhanced block is tested for being face. One dimensional Harr wavelet is used for feature extraction, which gives appropriate discriminating features between the face and nonface classes. Detection results at each scale are accumulated in an internal database, so the ultimate detection is prepared based on the mutual detection information between consequent scales. To parameterize both the Bayesian and the simple proposed classifier, 2,643 faces were congregated from famous face databases and more than 10,000 non-face samples were selected from nature images. Experimental results using images gathered from known databases like MIT-CMU show great ability of the proposed algorithm in detecting faces.

关键词： Face detection Robustness Image databases Bayesian methods Humans Application software Stability Feature extraction Spatial databases computer vision

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A Time-Invariant Dual High-Gain Based Adaptive Output-Feedback controller for Nonlinear Systems

A Time-Invariant Dual High-Gain Based Adaptive Output-Feedba...

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IEEE Conference on Decision and control

作者： P. Krishnamurthy F. Khorrami Control/Robotics Research Laboratory(CRRL) Department of Electrical and Computer Engineering Six Metrotech Center Polytechnic University Brooklyn NY USA

ISBN: (纸本)1424401704;9781424401703

We propose an adaptive output-feedback controller for a general class of nonlinear triangular (strict-feedback-like) systems. The design is based on our recent results on a dual high-gain observer and controller architecture with a dynamic scaling. The technique provides strong robustness properties and allows the system class to contain unknown functions dependent on all states and involving unknown parameters (with no magnitude bounds required). Unlike our earlier result on this problem where a time-varying design of the high-gain scaling parameter was utilized, the technique proposed here achieves an autonomous dynamic controller by introducing a novel design of the observer, the scaling parameter, and the adaptation parameter. This provides a time-invariant dynamic output-feedback controller for the benchmark open problem proposed in our earlier work with no magnitude bounds or sign information on the unknown parameter being necessary

关键词： Programmable control Adaptive control Nonlinear control systems control systems Nonlinear systems control design Nonlinear dynamical systems Uncertainty Backstepping USA Councils

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Intelligent sensors for integrated health management systems

Intelligent sensors for integrated health management systems

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2006 ASME International Mechanical engineering Congress and Exposition, IMECE2006

作者： Oesch, Christopher Mahajan, Ajay Utterback, Lucas Padmanaban, Haricharan Chitikeshi, Sanjeevi Figueroa, Fernando Department of Mechanical Engineering and Energy Processes Southern Illinois University Carbondale IL United States Department of Computer Science Southern Illinois University Carbondale IL United States Department of Electrical Engineering Southern Illinois University Carbondale IL United States NASA John C Stennis Space Center Technology Development and Transfer Code HA30 Bldg. 8306 Stennis Space Center MS 39529-6000 United States

ISBN: (纸本)0791837904

This paper describes work being conducted on the development of intelligent sensors with learning capabilities as part of an integrated systems approach. The integrated systems approach treats the sensor as a complete system with its own sensing hardware (the traditional sensor), A/D converter, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow the system to learn its own behavior. The immediate application is the monitoring of rocket test stands, but the technology should be generally applicable to the Integrated Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done till date on Physical Intelligent Sensors (PIS) and Virtual Intelligent Sensors (VIS). The PIS as discussed here consists of a thermocouple used to read temperature in an analog form which is then converted into digital values. A microprocessorcollects the sensor readings and runs numerous embedded event detection routines on the digital data. If any event, i.e. spike, drift, noise, is detected, it is reported, stored and sent to a remote system through an Ethernet connection. Hence the output of the PIS is data coupled with a confidence factor in the reliability of the data. The VIS discussed here is a virtual implantation of the PIS in the G2 software environment. The VIS is designed to mirror the operations of the PIS;however, the VIS works on a computer at which digital data is provided as the input. This work lays the foundation for the next generation of smart devices that have embedded intelligence for distributed decision making capabilities. Copyright © 2006 by ASME.

关键词： Smart sensors

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Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network

Channel Assignment using Chaotic Simulated Annealing Enhance...

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International Joint Conference on Neural Networks (IJCNN)

作者： A.M. Farahmand M.J. Yazdanpanah Department of Computing Science University of Alberta Canada Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

Channel assignment problem in cellular communication is a difficult combinatorial optimization problem. There is no exact polynomial-time solution for it and searching the whole solution space is infeasible for large problems. By defining the problem's cost function as the energy function of a chaotic Hopfield neural network, we devise a framework for finding competitive suboptimal or even optimal solutions for combinatorial optimization problem in general, and channel assignment problem in particular. In our architecture, we inject chaotic noise in order to help the network escape from local minima of the energy function while we enforce problem constraints by external inputs of neurons. Experimental results show the superiority of our method to other methods.

关键词： Chaos Simulated annealing Hopfield neural networks Chaotic communication Neurons Interference control engineering computing Process control Intelligent control Polynomials

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Fundamental Limitations in Self-Sensing Magnetic Bearings when Modeled as Linear Periodic Systems

Fundamental Limitations in Self-Sensing Magnetic Bearings wh...

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American control Conference

作者： K. S. Peterson R. H. Middleton J. S. Freudenberg School of Mechanical Engineering Purdue University USA Center for Complex Dynamic Systems and Control University of Newcastle Australia Department of Electrical and Engineering and Computer Science University of Michigan USA

In "Magnetic Bearing Measurement Configurations and Associated Robustness and Performance Limitations", Thibeault and Smith demonstrate that self-sensing magnetic bearings are impractical due to fundamental limitations in the achievable closed-loop robustness. Due to experimental data which appeared to contradict these results, Maslen, Montie, and Iwasaki showed that significantly better robustness is achievable in "Robustness limitations in self-sensing magnetic bearings" if the magnetic bearing is modeled as a linear periodic (LP) system rather than the linear time invariant (LTI) system used by Thibeault and Smith. The present paper explores why modeling the self-sensing magnetic bearing as a LP system improves the achievable robustness. This is accomplished by utilizing lifting to analyze the LP model as a MIMO discrete LTI system.

关键词： Magnetic levitation Robustness Magnetic analysis Electromagnets Current measurement Electromagnetic measurements Position measurement Frequency MIMO Feedback

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Stabilization of sampled-data T-S fuzzy systems

Stabilization of sampled-data T-S fuzzy systems

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Systems and control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

作者： Huijun Gao Tongwen Chen Space Control and Inertial Technology Research Center Harbin Institute of Technology China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

ISBN: (纸本)0780393953

This paper investigates the problem of stabilization for a Takagi-Sugeno (T-S) fuzzy system with nonuniform uncertain sampling. The sampling is not required to be periodic, and the only assumption is that the distance between any two consecutive sampling instants is less than a given bound. By using the input delay approach, the T-S fuzzy system with variable uncertain sampling is transformed into a continuous-time T-S fuzzy system with a delay in the state. A new condition guaranteeing asymptotic stability of the closed-loop sampled-data system is derived by a Lyapunov approach plus the free weighting matrix technique. Based on this stability condition, two procedures for designing state-feedback control laws are given: one casts the controller design into a convex optimization by introducing some over design, and the other utilizes the cone complementarity linearization (CCL) idea to cast the controller design into a sequential minimization problem subject to linear matrix inequality (LMI) constraints, which can be readily solved using standard numerical software.

关键词： Lyapunov matrix equations asymptotic stability closed loop systems controllers convex programming fuzzy systems linear matrix inequalities minimisation state feedback Lyapunov approach Takagi-Sugeno fuzzy system asymptotic stability closed-loop sampled-d

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Optimal Reconfiguration of the Navy Ship Power System using Agents

Optimal Reconfiguration of the Navy Ship Power System using ...

引用

IEEE PES Transmission and Distribution Conference and Exposition

作者： Momoh Diouf Center for Energy Systems and Control Department of Electrical & Computer Engineering Howard University College of Medicine Washington D.C. DC USA

This paper is a study of the optimization of a configuration and reconfiguration problem applied to the navy ship power system presenting a redundant power distribution layout. The multiagent method has been applied in order to make the power system converge towards its optimal configuration in its initial start up and during normal operation when a reconfiguration is required. The optimal process has been achieved by the agents and the simulations have been conducted with different cases of operation mode of the navy ship. The optimal configurations were derived through a program written in C++ for the agents and the results confirm the feasibility of applying the multiagent method for optimizing the navy ship power system

关键词： Marine vehicles Power systems Circuit breakers Power system simulation Optimization methods Power system faults Circuit faults control systems Power distribution Load management

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H∞ Model Reference control for Networked Feedback Systems

H∞ Model Reference Control for Networked Feedback Systems

引用

IEEE Conference on Decision and control

作者： Huijun Gao Tongwen Chen Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

ISBN: (纸本)1424401704

This paper is concerned with the problem of H ∞ model reference control for networked feedback systems. The physical plant and the controller are, respectively, in continuous time and discrete time. By using a sampled-data approach, a new model based on the updating instants of the zeroth-order hold (ZOH) is formulated, and a linear matrix inequality (LMI) based procedure is proposed for designing state-feedback controllers, which guarantee the output of the closed-loop networked control system tracks the output of a given reference model well in the H ∞ sense. An illustrative example is presented to show the usefulness and effectiveness of the proposed H ∞ output tracking design

关键词： control systems Networked control systems Space technology Feedback Linear matrix inequalities Biological control systems Biological system modeling Industrial control Communication system control USA Councils

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Management of Wireless Sensor Networks Using the Theory of Auctions

Management of Wireless Sensor Networks Using the Theory of A...

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IEEE/ACS International Conference on Pervasive Services (ICPS)

作者： Danak Rahimi-Kian Moshiri Control and Intelligent Processing Center of Excellence (CIPCE) Department of Electrical and Computer Engineering University of Tehran Tehran Iran CIPCE Department of ECE University of Tehran Tehran Iran

As an emerging technology, many researches have been focused on enhancing sensor networks in the recent years. For improving the quality of service, researchers have concentrated on the notion of mobility as a means to change the network topology. Considering each node as an intelligent agent, and using the concepts of the theory of auctions, this paper introduces a novel game theoretical approach to the sensor management problem. By obviating unnecessary communication among the nodes, and offering task changing capability to them the new method addresses more network compatibility to uncertain tasks

关键词： Wireless sensor networks Intelligent sensors Quality of service Game theory Sensor phenomena and characterization Technology management Network topology Intelligent agent Mobile communication Data processing

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