This paper presents a new in-flight alignment algorithm for an SDINS under large initial heading error. To handle large heading error a new attitude error model is introduced. The attitude errors are divided into head...
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A novel approach to fault diagnosis in nonlinear stochastic systems is proposed. It is based on the particle filtering (PF) algorithm, a Monte Carlo technique based state estimation method, and the multiple model (MM)...
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In this paper, the Hopfield neural network with delay (HNND) is studied from the standpoint of regarding it as an optimized computational model. Two general updating rules for network with delay (GURD) are given based...
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In this paper, the Hopfield neural network with delay (HNND) is studied from the standpoint of regarding it as an optimized computational model. Two general updating rules for network with delay (GURD) are given based on Hopfield-type neural networks with delay for optimization problems and characterized dynamic thresholds. It is proved that in any sequence of updating rule modes, the GURD monotonously converges to a stable state of the network. The diagonal elements of the connection matrix are shown to have an important influence on the convergence process, and they represent the relationship of the local maximum value of the energy function with the stable states of the networks. All ordinary DHNN algorithms are instances of GURD. It can be shown that the convergence conditions of GURD may be relaxed in the context of applications, for instance, the condition of nonnegative diagonal elements of the connection matrix can be removed from the original convergence theorem. New updating rule mode and restrictive conditions can guarantee the network to achieve a local maximum of the energy function.
In this paper, Agent-based architecture has been introduced into GIS for interactability and scalability. We have developed an interface agent to interactively assist the user with the query formation process. The int...
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In this paper, Agent-based architecture has been introduced into GIS for interactability and scalability. We have developed an interface agent to interactively assist the user with the query formation process. The interface agent has a capability of offering domain knowledge that is associated with a given query. Also the agent records users troubleshooting experience and show them to the same user and other user as hints. Further, we also have developed the Agent-based architecture with a 2-tier mediator model in GIS to meet the needs for interoperability among diverse application domains and integration of heterogeneous information source. Also broker agent provides a matchmaking service to other agent. As a result, qualitative and quantitative data can be integrated into GIS. Also we describe a prototype system -GXGIS- using agent-based technology.
A new method of applying linear matrix inequalities (LMIs) to multi-objective eigenstructure assignment is put forward. Since there is always a degree of freedom in eigenstructure assignment using state or output feed...
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A new method of applying linear matrix inequalities (LMIs) to multi-objective eigenstructure assignment is put forward. Since there is always a degree of freedom in eigenstructure assignment using state or output feedback, it is available to use this kind of freedom in designing a system to satisfy some additional specializations. With the help of LMI technology, a controller insensitive to pertubation and good in robust stability is realized. And the result of a practical example shows that the method is very useful in flight controller design.
A nonlinear observer is proposed for a strapdown inertial navigation system (SDINS) in-flight alignment problem using an H∞ filter Riccati equation and a freedom parameter. The proposed observer improves the filterin...
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Two novel algorithms for speech pitch estimation are presented. One is based on the Average Magnitude Difference Function (AMDF), the other is based on Autocorrelation Pitch Detect Algorithms (PDA). Accurate and stabl...
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ISBN:
(纸本)9628576623
Two novel algorithms for speech pitch estimation are presented. One is based on the Average Magnitude Difference Function (AMDF), the other is based on Autocorrelation Pitch Detect Algorithms (PDA). Accurate and stable pitch estimation can be obtained by using these fast algorithms. The simulation results prove the effectiveness of these algorithms.
A novel approach to fault diagnosis in nonlinear stochastic systems is proposed. It is based on the particle filtering (PF) algorithm, a Monte Carlo technique based state estimation method, and the multiple model (MM)...
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A novel approach to fault diagnosis in nonlinear stochastic systems is proposed. It is based on the particle filtering (PF) algorithm, a Monte Carlo technique based state estimation method, and the multiple model (MM) approach. The simulation results on a univariate model are provided and the fault detection and isolation performance are compared with that using the extended Kalman filter which demonstrate the effectiveness of the proposed approach.
Deals with the use of object oriented technologies in the modeling of industrial plants that have to be remotely monitored and/or controlled. The main goal is to propose a design methodology for obtaining the model of...
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ISBN:
(纸本)0780372417
Deals with the use of object oriented technologies in the modeling of industrial plants that have to be remotely monitored and/or controlled. The main goal is to propose a design methodology for obtaining the model of the so-called Virtual Plant, that a remote and certified user will use to access the real plant for performing command actions and/or monitoring. The type of applications and systems targeted must have autonomous behavior and be interconnected and accessible. Reliability, maintainability and flexibility are also required goals, as well as a high rate of reusability of the applications. The methodology has been applied to the remote process monitoring and control of manufacturing processes. The Virtual Plant Model is, in fact, the part of the plant that can be accessed by a certified remote client and thus it can be constituted by a set of sub-models, as many as different types of clients. The Virtual Plant resides inside the Application Server who is responsible of communicating with the cell controller and sends the image of the actual plant state (the Virtual Plant) as required by the remote client (monitoring) or sends the client commands to the cell controller.
The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic unc...
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The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic uncertainties are considered both in a studied system and its input part. The proposed approach does not employ matching conditions.
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