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International Joint Conference on Neural Networks (IJCNN)

作者： E. Kussul T. Baidyk D.C. Wunsch Center of Applied Science and Technological Development (CCADET) National Autonomous University of Mexico (UNAM) Mexicali Mexico Department of Electrical & Computer Engineering University of Missouri Rolla Rolla MO USA

A feature extractor and neural classifier for image recognition system are proposed. They are based on the permutative coding technique which continues our investigations on neural networks. It permits us to obtain sufficiently general description of the image to be recognized. Different types of images were used to test the proposed image recognition system. It was tested on the handwritten digit recognition problem, the face recognition problem and the shape of microobjects recognition problem. The results of testing are very promising. The error rate for the MNIST database is 0.44% and for the ORL database is 0.1%.

关键词： Image recognition Image coding Face recognition Handwriting recognition Image databases Feature extraction Neural networks System testing Shape Error analysis

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Framework for developing reconfigurable intelligent Internet protocols for space communication networks

Framework for developing reconfigurable intelligent Internet...

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IEEE International Conference on Networking, Sensing and control

作者： B. Malakooti K. Bhasin Electrical Engineering and Computer Science Department Case Western Reserve University Cleveland OH USA Space Communications NASA Glenn Research Center Cleveland OH USA

This report presents a framework for developing an intelligent Internet protocol, IIP, for space-based networks. IIP is compatible and interoperable with a variety of application, network, transport, and data link layer protocols. It is adaptive to accommodate the dynamic connectivity of space networks and reconfigurable to enable packets, routers, and protocols to be modified or upgraded remotely. IIP is IP-compatible, self-optimizing, fail-safe, secure, and intelligent with respect to energy and computational constraints of space technologies. IIP supports a variety of space missions for sustainable exploration. It enables autonomy, reusability, and robotic networks. The objectives of developing IIP are: (1) to develop the three building blocks of an intelligent space network protocol: a) intelligent network architecture, b) intelligent packet format, and c) intelligent flexible space router; (2) to determine the necessary IIP intelligence levels for different space network entities; (3) to develop a multi-objective optimization system to allow different routing schemes to support different distributed architectures; (4) to develop multiple levels of intelligent capabilities; which consist of: a) lower level: system requirements identification and upgrade; b) medium level: multi-objective optimization routing; and c) higher level: intelligent decision making capabilities; (5) to use simulation and emulation to measure the performance and analyze the tradeoffs of IIP.

关键词： Intelligent networks IP networks Communication networks Intelligent structures Intelligent robots Space technology Computational intelligence Extraterrestrial measurements Transport protocols Space missions

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control design implementation for Sawyer motors used in manufacturing systems

Control design implementation for Sawyer motors used in manu...

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American control Conference (ACC)

作者： P. Krishnamurthy F. Khorrami T.L. Ng I. Cherepinsky Control/Robotics Research Laboratory(CRRL) Department of Electrical and Computer Engineering Six Metrotech Center Polytechnic University Brooklyn NY USA Sikorsky in Stratford CT USA

In this paper, hardware integration and control design for a dual-axis linear stepper (Sawyer) motor are addressed. In particular, the Sawyer motor used in the Yaskawa/MotoMan manufacturing system which is utilized in various applications such as assembly, packaging, sorting, and probing, is considered. These motors are equipped with four optical sensors with a position resolution of 0.25 microns. We develop a detailed model of the motor for control validation and provide a comparison of two control designs, namely, a PD (or PID) and a robust adaptive nonlinear controller. To achieve high performance, a number of practical issues (such as delay/latency, finite sampling time, sensor noise, commutation rate, etc.) need to be considered. Effects of these factors are outlined and experimentally demonstrated. Both the considered controllers utilize knowledge of motor position and velocity in all axes. Current measurements are not required. Either numerical differentiation or a dynamic observer can be used to construct the velocity signals from the measured position data. The designed nonlinear controller provides practical stabilization of position tracking errors and achieves better overall performance. Adaptations are utilized so that no knowledge of the electromechanical system parameters is required. The proposed nonlinear controller is robust to load torques, friction, cogging forces, and other disturbances satisfying certain bounds. Furthermore, the controller corrects for the unintended yaw and achieves synchrony of the motor and rotor teeth. We have also observed that if the rotational motion is not corrected for, the performance is very poor for both controllers. This is also true in the case of delay/latency and higher rates of commutation.

关键词： control design Manufacturing systems Delay Robust control Commutation Hardware Assembly systems Packaging Sorting Micromotors

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An improved multiagent reinforcement learning algorithm

An improved multiagent reinforcement learning algorithm

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IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT)

作者： Xiangping Meng R. Babuska L. Busoniu Yu Chen Wanyu Tan Department of Electrical Engineering Changchun Institute of Posts and Telecommunications China Department of Electrical Engineering Changchun Institute of Technology P. R. China Delft Center for Systems and Control Delft University of Technology The Netherlands Department of Computer Engineering Northeast China Institute of Electric Power P.R. China

An improved reinforcement learning algorithm is proposed in this paper. This algorithm is based on linear programming method for finding the best-response policy. A pursuit example is tested and the results show that this algorithm has some properties, such as easy computation, simple operation procedure and can guarantee a good learning convergence.

关键词： Learning Stochastic processes Multiagent systems Linear programming Testing Pursuit algorithms control systems Power engineering computing Power engineering and energy Convergence

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A neuro-fuzzy based approach for output tracking of transverse flux machines

A neuro-fuzzy based approach for output tracking of transver...

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IEEE Conference on control Technology and Applications (CCTA)

作者： A. Babazadeh H.R. Karimi B. Moshiri Institute of Electrical Drives Power Electronics and Devices University of Brethemen Bremen Germany Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering Faculty ofEngineering University of Tehran Tehran Iran

This paper describes a design for adaptive control of transverse flux permanent magnet machines as nonlinear systems with unknown nonlinearities by utilizing Takagi-Sugeno-Kang type neuro-fuzzy networks. The technique of feedback linearization and H infin control are used to design the adaptive control law for compensating the unknown nonlinear parts, such the effect of cogging torque, as a disturbance on the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown by the simulation results

关键词： Adaptive control Permanent magnet machines Nonlinear systems Takagi-Sugeno-Kang model Fuzzy neural networks Neurofeedback Linear feedback control systems Torque control Angular velocity control Forging

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An efficient tool for planning and operation of reconfigurable converter-based transmission controllers

An efficient tool for planning and operation of reconfigurab...

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2005 IEEE Power engineering Society General Meeting

作者： Jiang, Xia Chow, Joe H. Edris, Abdel-Aty Uzunovic, Edvina Fardanesh, Bruce Parisi, Michael Wei, Xuan Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY 12180-3590 Electric Power Research Institute Palo Alto CA 94303-0813 New York Power Authority White Plains NY New York Power Authority Utica NY Guidant Corporation Saint Paul MN Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Science and Technology Division EPRI CA IEEE CIGRE Working Groups New York Power Authority Energy Control Center Cardiac Rhythm Management Division Guidant Corporation Saint Paul MN

ISBN: (纸本)078039156X

Because of their flexible performance, converter-based transmission controllers such as Unified Power Flow controller (UPFC) can be very effective in improving power transfer capability over congested transmission paths. In most published literature, a shunt converter is set to control the bus voltage and a series converter is to control the line power flow. In practical operations, however, there are other control modes that are more appropriate. In the case of the Convertible Static Compensator (CSC) installed at the New York Power Authority's Marcy substation, CSC can operate in 11 configurations of different shunt and series connections. A simulation program capable of dispatching in 49 different control modes associated with these 11 configurations is being developed. The paper discusses how these control modes can be efficiently implemented and used. © 2005 IEEE.

关键词： Power converters

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Iterative learning control for cross-coupled contour motion systems

Iterative learning control for cross-coupled contour motion ...

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IEEE International Conference on Mechatronics and Automation

作者： HongSheng Li Xingpeng Zhou YangQuan Chen Department of Automatic Control South-East University Nanjing Jiangsu China Center for Self-Organizing and Intelligent Systems Department of Electrical and Computer Engineering Utah State University Logan UT USA

Iterative learning control (ILC) is a powerful control concept that iteratively improves the behavior of processes that are repetitive in nature and cross-coupled control (CCC) has been developed to effectively reduce the contouring error. This paper proposes an integrated controller which combines ILC and CCC to achieve a better performance. In the presented preliminary simulation study, smaller contour error and tracking error can be achieved and moreover, contouring error is less oscillatory because CCC suppresses the inter-axis mismatch "cross error".

关键词： Motion control control systems Error correction computer errors computer numerical control Feedback loop Automatic control Adaptive control Feedforward systems Tracking loops

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Robust stability check of fractional order linear time invariant systems with interval uncertainties

Robust stability check of fractional order linear time invar...

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IEEE International Conference on Mechatronics and Automation

作者： YangQuan Chen Hyo-Sung Ahn I. Podlubny Center for Self-Organizing and Intelligent Systems CSOIS Department of Electrical and Computer Engineering Utah State University Logan UT USA Department of Informatization and Control of Processes Technical University of Kosice Kosice Slovakia

For uncertain fractional-order linear time invariant (FO-LTI) systems with interval coefficients described in state space form, the robust stability check problem is solved for the first time in this paper. Both the checking procedure and the Matlab code are presented with two illustrative examples. The conservatism is shown to be small.

关键词： Robust stability Time invariant systems Uncertainty control systems controllability System testing Intelligent systems State-space methods Calculus Process control

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CONTINUOUS TIME SYSTEM IDENTIFICATION OF NONPARAMETRIC MODELS WITH CONSTRAINTS

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IFAC Proceedings Volumes 2005年第1期38卷 213-218页

作者： Liuping Wang Peter J. Gawthrop Peter C. Young School of Electrical and Computer Engineering RMIT University Melbourne Australia Center for Systems and Control and Department of Mechanical Engineering University of Glasgow GLASGOW. G12 8QQ Scotland Centre for Research on Environmental Syst. and Stat. Lancaster University LA 14 YQ UK

Although structural constraints such as model order and time delay have been incorporated in the continuous time system identification since its origin, the constraints on the estimated model parameters were rarely enforced. This paper proposes a continuous time system identification approach with constraints. It shows that by incorporating physical parameter information known a priori as hard constraints, the traditional parameter estimation schemes are modified to minimize a quadratic cost function with linear inequality constraints. Using the structure of Frequency Sampling Filters as the vehicle, the paper shows that the constraints can be readily imposed on continuous time frequency response estimation and step response estimation. In particular, a priori knowledge in both time-domain and frequency domain is utilized simultaneously as the constraints for the optimal parameter solution. A Monte-Carlo simulation study with 100 noise realization is used to demonstrate the improvement of the estimation results in terms of continuous time frequency response and continuous time step response.

关键词： Continuous time system identification nonparametric model frequency response step response constraints

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Fatigue study of nano-scale silicon nitride thin films using a novel electrostatic actuator

Fatigue study of nano-scale silicon nitride thin films using...

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International Conference on Solid State Sensors and Actuators (TRANSDUCERS)

作者： Wen-Hsien Chuang R.K. Fettig R. Ghodssi MEMS Sensors and Actuators Laboratory (MSAL) Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College Park MD USA NASA Goddard Space Flight Center Greenbelt MD USA

We report for the first time the fatigue study of nanoscale silicon nitride (SiN) thin films using a novel electrostatic actuator. The mechanical-amplifier (MA) devices made in SiN thin films can apply controllable tensile stress (2.0-7.8 GPa) to test structures with relatively low actuation voltages (5.7-35.4 VRMS) at their resonant frequencies. With the recently developed experimental techniques inside a focused-ion-beam (FIB) system, in-situ fatigue measurements are performed on SiN test structures with a linewidth of 200 nm. The SiN test structures are found to exhibit time-delayed failures with a continuous increase in their compliance. By reducing the applied tensile stress to 3.8 GPa, the test structures can survive cyclic loadings up to 10 cycles.

关键词： Fatigue Semiconductor thin films Electrostatic actuators Silicon compounds Testing Tensile stress Thin film devices Stress control Voltage control Low voltage

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