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A 2.4-GHz silicon-on-sapphire CMOS low-noise amplifier

IEEE MICROWAVE AND GUIDED WAVE LETTERS 1997年第10期7卷 350-352页

作者： Johnson, RA Chang, CE delaHoussaye, PR Wood, ME Garcia, GA Asbeck, PM Lagnado, I IEEE Department of Electrical and Computer Engineering University of California Rockwell Science Center Naval Command Control and Ocean Surveillance Center RDT&E Division (NRaD)

A low-noise amplifier operating at 2.4 GHz has been fabricated with MOSFET's in silicon-on-sapphire technology, The amplifier has a 2.8-dB noise figure, IO-dB gain, and 14-dBm output referred IP3 with 14-mW power ... 详细信息

关键词： microwave FET amplifiers noise MMIC's

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Reusable launch vehicle control in sliding modes

Reusable launch vehicle control in sliding modes

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Guidance, Navigation, and control Conference, 1997

作者： Shtessel, Yuri Tournes, Christian Krupp, Don Electrical and Computer Engineering Department University of Alabama in Huntsville HuntsvilleAL35899 United States Guidance and Control Systems Division NASA Marshall Space Flight Center MSFC AL35812 United States

control of a reusable launch vehicle (RLV) is considered in sliding modes. The sliding mode controllers are designed for the RLV in two operational modes: re-entry (descending) mode and launch (ascending) mode. The decentralized sliding mode controllers are designed to guarantee robust de-coupled asymptotic tracking of the Euler angles’ reference profiles upon the RLV model uncertainties and external disturbances. The angular rates command vector is formed in the outer loop in order to provide an asymptotic tracking of the Euler angles’ reference profiles. This command vector is tracked in the internal loop via the smoothed sliding mode controllers. Effectiveness of the designed sliding mode controllers is confirmed via computer simulations of a vertical- takeoff, horizontal-landing wing-body single-stage RLV studied at NASA Marshall Space Flight center. © 1997 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Uncertainty analysis

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Real time control of a direct drive motor by a learning neuro-fuzzy controller

Real time control of a direct drive motor by a learning neur...

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IEEE International Conference on Systems, Man and Cybernetics

作者： K.K. Kumbla M. Jamshidi NASA Center for Autonomous Control Engineering Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

A neuro-fuzzy controller is presented which uses neural networks to modify the parameters of an adaptive fuzzy logic controller. The adaptiveness of the fuzzy controller is derived from a rule generation mechanism and changing the scaling factor or the shape of the membership functions. The neural network functions as a classifier of the system's temporal responses. A multilayer perceptron is used to classify the temporal response of the system into different patterns. Depending on the type of pattern such as "response with overshoot", "damped response", "oscillating response", etc. the scaling factor of the input and output membership functions are adjusted to make the system respond in a desired manner. The rule generation mechanism also utilizes the temporal response of the system to evaluate new fuzzy rules. The non-redundant rules are appended to the existing rule base during the tuning cycles. This controller architecture is used in real-time to control a direct drive motor. The control system hardware utilizes a digital signal processor and a PC to implement the controller architecture. Experimental results are illustrated.

关键词： Neural networks Shape control control systems Programmable control Adaptive control Fuzzy logic Fuzzy control Multilayer perceptrons Fuzzy systems Hardware

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Neural network based identification of robot dynamics used for neuro-fuzzy controller

Neural network based identification of robot dynamics used f...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： K.K. Kumbla M. Jamshidi NASA Center for Autonomous Control Engineering Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

A technique of identifying the dynamics of a robotics system using neural network is presented. The identified model is used by a fuzzy controller to evaluate the range of the control variables and also the performance of the adaptive control laws on the identified model. An overview of the neuro-fuzzy control architecture is also discussed. This architecture uses two neural networks, one which identifies the system dynamics and another classifies the temporal response of the robotic system. The information from the neural networks is used to make suitable adjustments in the parameter of the fuzzy controller. This paper however concentrates on the theory and operation of identifying the dynamics of a Adept-Two industrial robot. Simulation results are presented.

关键词： Neural networks Robots Fuzzy control Fuzzy neural networks Automatic control Adaptive control System identification control systems NASA Electric variables control

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Interlaced systems and recursive designs for global stabilization 4

Interlaced systems and recursive designs for global stabiliz...

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4th European control Conference, ECC 1997

作者： Sepulchre, R. Janković, M. Kokotović, P.V. Universite Catholique de Louvain Av. G. Lemaitre 4 Louvain-La-NeuveB1348 Belgium Ford Scientific Research Laboratories P.O. Box 2053 DearbornMI48121 United States Center for Control Engineering and Computation Dept. of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

ISBN: (纸本)9783952426906

Interlaced systems constitute a class of systems only characterized by the zero entries of their matrix configuration and a local stabilizability condition. All these systems are globally stabilizable by a recursive design procedure which combines steps of backstepping and forwarding. When a nonlinear system misses this structural characterization, other types of conditions (sign, growth) are needed to ensure global stabilization.

关键词： Design

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Planar photoelastic effect for rf photonics system 8

Planar photoelastic effect for rf photonics system

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Optical Technology for Microwave Applications VIII 1997

作者： Liu, Q.Z. Chen, W.X. Weistand, R.B. Guan, Z.F. Xing, Q.J. Jiang, H. Pappert, S.A. Zappe, H.P. Lau, S.S. Yu, P.K.L. Department of Electrical and Computer Engineering University of California San Diego San DiegoCA92093-0407 United States Naval Command Control and Ocean Surveillance Center United States Paul Scherrer Institute Zurich Switzerland Zurich8048 Switzerland

Planar photoelastic effect on compound semiconductor structures has been investigated for integrated optical transmitter in rf photonics system. While our prior works emphasized the investigation of low-loss photoelastic waveguide, photoelastic waveguide modulator, and photoelastic optical splitter, the present work focuses on the attainment of high performance laser which employs the photoelastic effect for waveguiding. Planar separate-confinement, doubleheterostructure, single-quantum-well photoelastic GaAs/A1GaAs lasers have been fabricated using WNi stressors for waveguiding and ion implantation for isolation. Even without bonded on heat-sinks, these planar photoelastic lasers operate continuous wave at room temperature. The lowest threshold is 29 mA for a cavity length of 178 jim and a stressor width of 5tim. The main waveguiding mechanism of the photoelastic lasers is determined to be weak index-guiding with the beam waist in the junction plane measured at 10 jim behind the end-facet. © 1997 Proceedings of SPIE - The International Society for Optical engineering. All rights reserved.

关键词： Gallium arsenide

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Robust control of cupola iron furnaces

Robust control of cupola iron furnaces

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American control Conference (ACC)

作者： M.A. Abdelrahman K.L. Moore Electrical and Computer Engineering Department Tennessee Technological University Cookeville TN USA Measurement and Control Engineering Research Center Idaho State University College of Engineering Pocatello ID USA

We present the results of a continuing effort towards the introduction of automatic control to the operation of cupola iron furnaces. The cupola furnace has played an important role in the foundry industry since its invention in 1794. The main aim of this research is to improve the operational efficiency and performance of the cupola furnace. A lumped model for the cupola is used for the controller design. The controller is divided into three parts. A feedforward controller is used to decouple the model into delayed and undelayed dynamics. A robust controller is designed for the delayed dynamics of the model based upon a combination of H/sub /spl infin// control and a Smith predictor. The controller for the undelayed portion of the model is designed using an LQR procedure.

关键词： Robust control Iron Furnaces Foundries Temperature control Delay Electric variables measurement control engineering Educational institutions Automatic control

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Fuzzy observer-based control of nonlinear systems

Fuzzy observer-based control of nonlinear systems

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IEEE Conference on Decision and control

作者： A. Jadbabaie A. Titli M. Jamshidi NASA Center of Autonomous Control Engineering Electrical and Computer Engineering Department University of New Mexico Albuquerque NM USA LAAS du CNRS and INSA Toulouse France

In this paper, some recent results on systematic design of model based fuzzy controllers for nonlinear systems with Takagi-Sugeno (T-S) fuzzy models are discussed. These methods are based on finding a common Lyapunov matrix and state feedback gains for the closed loop T-S fuzzy model using linear matrix inequalities. However, all of these methods assume that the states are available for measurement, while in reality this is not the case. To solve this problem, the notion of fuzzy observer is introduced and a separation theorem for the observer/controller system is stated and proof sketch is presented.

关键词： Fuzzy control Fuzzy systems Nonlinear control systems control systems Nonlinear systems Linear matrix inequalities Fuzzy sets Takagi-Sugeno model Stability analysis State feedback

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Adaptive blocks: A high performance data structure 97

Adaptive blocks: A high performance data structure

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1997 ACM/IEEE Conference on Supercomputing, SC 1997

作者： Stout, Quentin F. De Zeeuw, Darren L. Gombosi, Tamas I. Groth, Clinton P. T. Marshall, Hal G. Powell, Kenneth G. Electrical Engineering and Computer Science Center for Parallel Computing University of Michigan Ann Arbor MI 48109-2122 United States Space Physics Research Laboratory Department of Atmospheric Oceanic and Space Sciences University of Michigan Ann Arbor MI 48109-2143 United States Laboratory for Scientific Computation Center for Parallel Computing University of Michigan Ann Arbor MI 48109-2094 United States Department of Aerospace Engineering University of Michigan Ann Arbor MI 48109-2118 United States

ISBN: (纸本)0897919858

We examine a data structure which uses flexible "adaptivity" to obtain high performance for both serial and parallel computers. The data structure is an adaptive grid which partitions a given region into regular cells. Its closest relatives are cell-based tree decompositions, but there are several important differences which lead to significant performance advantages. Using this block data structure to support adaptive mesh refinement (AMR), we were able to sustain 17 GFLOPS in ideal magnetohydrodynamic (MHD) simulations of the solar wind emanating from the base of the solar corona, using a 512 processor Cray T3D at NASA Goddard. © 1997 ACM.

关键词： Magnetohydrodynamics

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Adaptive fuzzy-behavior hierarchy for autonomous navigation

Adaptive fuzzy-behavior hierarchy for autonomous navigation

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IEEE International Conference on Robotics and Automation (ICRA)

作者： E. Tunstel H. Danny T. Lippincott M. Jamshidi NASA Jet Propulsion Laboratory Pasadena CA USA NASA Center for Autonomous Control Engineering Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

Adaptive behavioral capabilities are necessary for robust navigation in non-engineered environments. A control approach to adaptive behavior is described which exploits the approximate reasoning facility of fuzzy logic. In particular, a behavior-based architecture for hierarchical fuzzy control of mobile robots is presented. Its structure is described as well as mechanisms of control decision-making which give rise to adaptive behavior. control decisions result from a consensus of recommendations offered only by behaviors that are applicable to current situations. Indoor navigation examples demonstrate the practicality of the approach and reveals characteristics of multiple behavior interaction.

关键词： Navigation Fuzzy logic Programmable control Adaptive control Mobile robots Fuzzy control Intelligent robots Fuzzy sets NASA Decision making

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