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C4ISR architectures: I. Developing a process for C4ISR architecture design

systems Engineering 2000年第4期3卷 225-247页

作者： Levis, Alexander H. Wagenhals, Lee W. System Architectures Laboratory C3I Center MSN 4D2 George Mason University Fairfax VA 22030 United States Department of Electrical Computer and Systems Engineering C3I Center System Architectures Laboratory United States Institute of Electrical and Electronic Engineers (IEEE) Advancement of Science (AAAS) United States Center of Excellence Command Control Communications and Intelligence George Mason University Fairfax VA United States System Architectures Laboratory United States

The C4ISR Architecture Framework document issued by the Department of Defense specifies three views of an information architecture and defines a set of products that describe each view. These architecture views are to serve as the basis for C4ISR system development and acquisition. The Framework does not provide a process for architecture design. In this paper, information architectures are described in the context of Structured Analysis, and then the architecture views of the Framework and the related products are interpreted in that context. A methodology for architecture design is developed that is then implemented using Structured Analysis and object orientation in two companion papers. © 2000 John Wiley & Sons, Inc.

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Factorization method for multiple perspective views via iterative depth estimation

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systems and computers in Japan 2000年第13期31卷 87-95页

作者： Ueshiba, Toshio Tomita, Fumiaki Electrotechnical Laboratory Tsukuba 305-8568 Japan Department of Electrical Engineering University of Tokyo Electrotechnical Laboratory Min. of Intl. Trade and Industry Intelligent Systems Division Canada Nat. Inf. Eng. Lab. Information Processing Society Robotics Society of Japan Soc. of Instrum. Control Engineers Department of Control Engineering Osaka University CMU Department of Computer Science Information Processing Society Robotics Society of Japan

This paper proposes a factorization method that reconstructs camera motion and scene shape based on the matching of multiple images under the condition that the camera captures a perspective view. Starting from the affine projection camera model, the projection depth is iteratively estimated until the measurement matrix has rank 4. Then, the obtained measurement matrix is factorized to restore the three-dimensional information of the scene in the projection space. This approach eliminates noise sensitive processes, such as the calculation of the fundamental matrix, that are required in the factorization for the conventional perspective projection image, and a stable reconstruction is realized. Furthermore, the metric constraint in the conventional affine model is extended, and the metric constraint in the perspective projection condition is derived. It is shown that the reconstruction in Euclidean space is realized if the internal parameters of the camera are given.

关键词： Image reconstruction

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Application of a genetic algorithm in triangulation of a 3-D object surface

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International Journal of computers and Applications 2000年第2期22卷 73-77页

作者： Zhenyu, Chen Mbede, J.B. Yan, Zhou Dehua, Li Hanping, Hu State Commn. Res. Open Lab. Image P. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Intelligent Contr. and Robotics Lab. Dept. of Contr. Sci. and Engineering Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Second Artillery Institute Huazhong Univ. of Sci. and Technol. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. Second Artillery Institute China Wuhan University China Artificial Intelligence Department University of Edinburgh Inst. of AI and Pattern Recognition Huazhong Univ. of Sci. and Technol. China Cogn. Sci. Natl. Key Found. Res. P. Douala University Cameroon Tübingen University Germany Automatic Control Laboratory Darmstadt University Department of Service Cameroon Min. of National Education Robotics Laboratory Huazhong Univ. of Sci. and Technol. Wuhan China Assoc. Connectionnistes These-ACTH Rennes France IEEE Soc. of Robotics and Automation IEEE Society of Control Systems IASTED Assoc. Jeunes Chercheurs Robotique France Navy University of Engineering China Huazhong Univ. of Sci. and Technol. China Department of Computer Science Airforce Radar Acad. of Engineering China Inst. of P.R and AI Huazhong Univ. of Sci. and Technol.

This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.

关键词： Object recognition

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Design of a neural network observer to control a FED-batch bioprocess

Design of a neural network observer to control a FED-batch b...

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1999 European control Conference, ECC 1999

作者： Boutalis, Y.S. Kosmidou, O.I. Automatic Control Systems Laboratory Department of Electrical and Computer Engineering Democritus University of Thrace XanthiGR-67100 Greece

ISBN: (纸本)9783952417355

The present paper deals with the production of Saccharomyces cerevisiae, described by a sixth order nonlinear state space model. The control objective is to ensure the process stability and desirable specifications in the presence of disturbances and lack of reliable state measurements. First, the model of the process and its properties are presented. Next the ability of multi-layer Neural Networks to act as reliable emulators of the system dynamics is tested by simulation results and a training strategy is proposed to improve their performance. Finally, a non-linear adaptive observer is designed by means of artificial neural networks. © 1999 EUCA.

关键词： Neural networks

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Generalised nonlinear PID controller based on neural networks

Generalised nonlinear PID controller based on neural network...

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1999 Information, Decision and control, IDC 1999

作者： Tan, Yonghong Dang, Xuanju Van Cauwenberghe, A. School of Computer Science Guilin Institute of Electronic Technology Guilin541004 China Automatic Control Laboratory University of Ghent Technologiepark 9 GhentB-9052 Belgium

ISBN: (纸本)0780352564

In this paper, a nonlinear controller is proposed to handle some nonlinear control problems. In this scheme, the controller uses the system error, the integral of the system error, and the derivative of the system error as its inputs, but the mapping from the inputs to the output is nonlinear. The corresponding nonlinear mapping may be specified based on the control requirement. Therefore, the proposed controller is defined as a generalized nonlinear PID controller (GNPIDC). The GNPIDC strategy is realized using neural networks. For online training of the neural network based GNPIDC, a PID gradient descent optimizing algorithm with momentum term is proposed. Then, the convergent characteristic of the algorithm is presented. Finally, simulation study of applying the neural GNPIDC strategy to a continuous-stirred-Tank-reactor and a van de Vusse reactor is illustrated. © 1999 IEEE.

关键词： controllers

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Lyapunov stability theory for linear repetitive processes - The 2D equation approach

Lyapunov stability theory for linear repetitive processes - ...

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1999 European control Conference, ECC 1999

作者： Benton, S.E. Rogers, E. Owens, D.H. Department of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street SheffieldS1 3JD United Kingdom

ISBN: (纸本)9783952417355

This paper develops the basis of a so-called 2D Lyapunov equation based approach to the stability analysis of discrete linear repetitive processes. The key feature of this equation is that, in contrast to the so-called ID Lyapunov equation approach, it is defined in terms of matrices with constant entries and has a 'similar' structure to the Lyapunov equation for standard, or ID, discrete linear systems. Here it is shown that the 2D Lyapunov equation gives, in general, a characterization of stability which is sufficient but not necessary. Despite this deficiency, it is also shown how the 2D Lyapunov equation can be used to characterize stability margins and robustness to uncertainty in the model description - very important topics for which few results are currently available. Some areas for short to medium term further research are also briefly noted. © 1999 EUCA.

关键词： Linear systems

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The benefits of prediction in learning control algorithms

The benefits of prediction in learning control algorithms

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IEE Two-Day Workshop on Model Predictive control: Techniques and Applications - Day 1 (Ref. No. 1999/095)

作者： D.H. Owens Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK School of Engineering and Computer Science University of Exeter UK

The emergence of intelligent control has seen a focus of attention on the ideas of learning control. This paper explores the relationship between the performance of learning algorithms and the structure of the system to be controlled. The importance of system's relative degree (pole-zero excess) and the system's zeros are described and the role of prediction in improving performance is demonstrated using ideas from iterative learning control.

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Generalised nonlinear PID controller based on neural networks

Generalised nonlinear PID controller based on neural network...

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Information, Decision and control (IDC)

作者： Yonghong Tan Xuanju Dang A. van Cauwenberghe School of Computer Science Guilin Institute of Electronic Technology Guilin China Automatic Control Laboratory University of Ghent Ghent Belgium

In this paper, a nonlinear controller is proposed to handle some nonlinear control problems. In this scheme, the controller uses the system error, the integral of the system error, and the derivative of the system error as its inputs, but the mapping from the inputs to the output is nonlinear. The corresponding nonlinear mapping may be specified based on the control requirement. Therefore, the proposed controller is defined as a generalized nonlinear PID controller (GNPIDC). The GNPIDC strategy is realized using neural networks. For online training of the neural network based GNPIDC, a PID gradient descent optimizing algorithm with momentum term is proposed. Then, the convergent characteristic of the algorithm is presented. Finally, simulation study of applying the neural GNPIDC strategy to a continuous-stirred-tank-reactor and a van de Vusse reactor is illustrated.

关键词： Three-term control Neural networks Proportional control Process control automatic control Error correction Inductors control systems Nonlinear control systems computer errors

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Output end-point weighted generalized predictive control-a polynomial approach

Output end-point weighted generalized predictive control-a p...

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American control Conference (ACC)

作者： W. Ebert M. Morari IFA Swiss Federal Institute of Technology Switzerland Institute of Computer Science Humboldt University of Berlin Berlin Germany Automatic Control Laboratory Swiss Federal Institute of Technology Zurich Switzerland

A new generalized predictive control (GPC) algorithm is presented, which makes use of the concept of output end-point weightings. The aim of the algorithm is a reduced computational burden with respect to the state end-point weighted GPC and a relaxation of the infinite output weighting of constrained receding horizon predictive control. The new output end-point weighted GPC algorithm is developed using the polynomial approach. After a proof of nominal stability the relation of Kalman filtering and predictive control is derived. A final simulation of a benchmark example emphasizes the reduced computational burden and the enhanced stochastic tracking capability.

关键词： Predictive control Polynomials Equations Stability Prediction algorithms computer science automatic control Laboratories Kalman filters Filtering

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Adaptive real-time control of a Christmas tree using a novel signal processing approach

Adaptive real-time control of a Christmas tree using a novel...

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American control Conference (ACC)

作者： J. Hu H.R. Wu C.T. Chou M. Verhaegen D. Westwick G. Nijsse School of Computer Science and Software Engineering Clayton Australia Control Laboratory Faculty of Information Technology and Systems Delft University of Technnology Delft Netherlands

The LMS algorithm forms the core of a number of adaptive control schemes. It has on one hand provided certain degree of robustness to these algorithms but on the other hand its convergence rate is notoriously slow. We propose a method to initialize the LMS algorithm which dramatically shortens its adaptation period. We also prove that under certain condition this initialization can be computed without explicit knowledge of either the reference or noise spectrum. Although the work is illustrated using the filtered-X scheme, this idea can also be applied to other similar schemes. Two successful experiments starting from black-box identification to real-time control have verified the effectiveness of this idea.

关键词： Programmable control Adaptive control Adaptive signal processing Least squares approximation Signal processing algorithms control systems Testing Active noise reduction Noise cancellation Optimal control

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