In this paper, we present a decoupled parameter estimation (DPE) algorithm for estimating sinusoidal parameters from both one-dimensional (1-D) and two-dimensional (2-D) data sequences corrupted by AR noise. In the fi...
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In this paper, we present a decoupled parameter estimation (DPE) algorithm for estimating sinusoidal parameters from both one-dimensional (1-D) and two-dimensional (2-D) data sequences corrupted by AR noise. In the first step of the DPE algorithm, we use a relaxation (RELAX) algorithm that requires simple fast Fourier transforms (FFTs) to obtain the estimates of the sinusoidal parameters. We describe how the RELAX algorithm may be used to extract radar target features from both 1-D and 2-D data sequences. In the second step of the DPE algorithm, a linear least squares approach is used to estimate the AR noise parameters. The DPE algorithm is both conceptually and computationally simple. The algorithm not only provides excellent estimation performance under the model assumptions, in which case the estimates obtained with the DPE algorithm are asymptotically statistically efficient, but is also robust to mismodeling errors.
This paper describes how the RELAX algorithm can be used for angle and waveform estimation of narrowband plane waves arriving at a uniform linear array in the presence of spatially colored noise. The RELAX algorithm i...
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This paper describes how the RELAX algorithm can be used for angle and waveform estimation of narrowband plane waves arriving at a uniform linear array in the presence of spatially colored noise. The RELAX algorithm is both conceptually and computationally simple; its implementation mainly requires a sequence of fast Fourier transforms. Both numerical and experimental examples are used to demonstrate the performance of the RELAX algorithm for angle and waveform estimation.
In this paper an adaptive way of mainsteam temperature control is proposed for a thermal power plant at the ramping stage. A physical model of the super-heater system is built up based on the experimental knowledge on...
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In this paper an adaptive way of mainsteam temperature control is proposed for a thermal power plant at the ramping stage. A physical model of the super-heater system is built up based on the experimental knowledge on actual thermal power plants. The model yields a continuous time nonlinear system with several unknown varying parameters. A quick identification method is Introduced to estimate online the model parameters. The identified model is used for designing a control signal to raise the mainsteam temperature at the outlet of the super- heater along a reference curve. In this way, an adaptive control of thermal power plant can be realized in the framework of MRACS. The effectiveness of the method has been confirmed through simulation studies.
We present a controller for a class of robotics manipulators which provides exponential convergence to a desired end-effector trajectory using gains specified in joint-space. This is accomplished without using discret...
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We present a controller for a class of robotics manipulators which provides exponential convergence to a desired end-effector trajectory using gains specified in joint-space. This is accomplished without using discrete inverse-kinematics algorithms, and it allows the controller to be posed entirely in continuous time.
We consider the problem of estimating the time-varying root of a time-dependent nonlinear map. We introduce a "dynamic inverse" of a map, another generally time-dependent map which composes with the original...
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We consider the problem of estimating the time-varying root of a time-dependent nonlinear map. We introduce a "dynamic inverse" of a map, another generally time-dependent map which composes with the original map to form a nonlinear vector-field. The flow of this vector field decays exponentially to the root. We then show how a dynamic inverse may be determined dynamically while being used simultaneously to find a root. We construct a continuous-time analog computational paradigm around the dynamic inverse.
The Development Framework provides a highly automatic translation from a specification to an implementation. The specification is in a popular, graphical controlengineering notation typically representing a system wi...
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The Development Framework provides a highly automatic translation from a specification to an implementation. The specification is in a popular, graphical controlengineering notation typically representing a system with stringent reliability requirements and hard real time constraints. An interface has been constructed between the Development Framework and the commercially available dependability modelling tool, SURF-2. This tool is designed to support an evaluation based design approach. Multiple design solutions can be compared to assess the implications of design decisions on the dependability of the system under development. The software demonstration will show how the interface between the Development Framework and SURF-2 is used to model the inclusion of selected fault tolerant mechanisms in the system under development.< >
The design of high power and high frequency foil wound inductors is not a straightforward task. At high frequencies, additional losses occur within the foil windings due to the eddy currents induced by skin, proximity...
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The design of high power and high frequency foil wound inductors is not a straightforward task. At high frequencies, additional losses occur within the foil windings due to the eddy currents induced by skin, proximity, fringing and other AC effects. In addition, the winding structure greatly affects the distribution of losses within the windings. In this paper, the various loss mechanisms of a foil winding are analyzed and quantified. Both analytical and finite element analysis tools are utilized to investigate and understand the different loss mechanisms. The results show a strong correlation between the current and field distributions within the windings where the current is always attracted to the high field regions. By shaping and controlling the field distribution in a given design, the current distribution can be improved which results in an improvement in the winding losses.
In this paper we sketch a method for specification and automatic verification of real-time software properties. The method combines the IEC 848 norm and the recent specification techniques TCCS (Timed Calculus of Comm...
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In this paper we sketch a method for specification and automatic verification of real-time software properties. The method combines the IEC 848 norm and the recent specification techniques TCCS (Timed Calculus of Communicating systems) and TML (Timed Modal Logic) — supported by an automatic verification tool, Epsilon. The method is illustrated by modelling a small real-life steam generator example and subsequent automated analysis of its properties.
作者:
FUJIWARA, ETANAKA, TMemberFaculty of Engineering
Tokyo Institute of Technology Tokyo Japan 152 Eui Fujiwara:received his B.S. and M.S. degrees in Electronics Engineering in 1968 and 1970
respectively and his Dr. of Eng. degree in 1981 all from Tokyo Institute of Technology. In 1970 he joined the NTT Musashino Electrical Communication Laboratories and engaged in developing PIPS-1 and PIPS-11 computer systems. In 1988 he joined the Department of Computer Science Tokyo Institute of Technology as an Associate Professor. In 1990 he became a full Professor. He was a Visiting Professor at the Center for Advanced Computer Studies the University of Southwestern Louisiana from June 1985 to July 1986. His current research interests include coding theory for computers fault-tolerant memories VLSI defect-toleranceand WSI systems. He is a co-author ofError Control Coding for Computer Systems(Prentice-Hall1989) EssentiaLF of Error-Correcting Coding Techniques (Academic Press 1990) and other books. Dr. Fujiwara received the Young Engineer Award from the I.E.I.C.E. in 1978 and the Teshima Memorial Research Award in 1991. He is a senior member of the IEEE and a member of the Information Processing Society Japan. Associate Member
Because of its capability of high-speed search, the associative memory (CAM) is expected to be used in a variety of information processing systems. In this paper, novel fault-tolerant techniques which are effective fo...
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Because of its capability of high-speed search, the associative memory (CAM) is expected to be used in a variety of information processing systems. In this paper, novel fault-tolerant techniques which are effective for on-line use are proposed for TLB which is an example of the application of CAM. First, fault and error models of the TLB consisting of the CAM part and the SRAM part are clarified. Then, the fault-tolerant techniques for these faults and errors, such as distance separable technique, cod-ing technique, simplified 1-out-of-n check and graceful degradation, are proposed. The distance separable technique which encodes the data stored in the CAM part is the one which masks the faulty CAM part and prevents errors from propagating to the subsequent circuits. The coding technique checks the one-to-one correspondence between the data in the CAM and those in SRAM by using the SEC-DED code with byte error detection capability, i.e., SEC-DED-SbED code, and at the same time it detects and corrects errors in the data stored in SRAM. The simplified 1-out-of-n check processes association errors. The graceful degradation gives a flag in the faulty memory section and prevents it from being used. The methods proposed in this paper are evaluated from area augmentation and error detection capability perspectives. The results show that the fault-tolerant TLB with 32 virtual address bits, 32 physical address bits and 128 entries gives single fault detection probability of nearly 99 percent with 28 percent area increase.
Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulat...
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Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulators and their applications in character recognition and other engineering areas.< >
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