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2007 IEEE 22nd International Symposium on intelligent control, ISIC 2007

作者： Zhou, Jing Er, Meng Joo Department of Engineering Cybernetics Faculty of Information Technology Mathematics and Electrical Engineering Norwegian University of Science and Technology 7491 Trondheim Norway Intelligent Systems Centre Nanyang Technological University Research TechnoPlaza Singapore 637553 Singapore

ISBN: (纸本)142440441X

In this paper, two robust adaptive backstepping control algorithms are developed for valve control mechanism of a liquid tank. Unlike some existing control schemes for systems with backlash, the developed backstepping controllers do not require the uncertain parameters within known intervals. Also no knowledge is assumed on the bound of the 'disturbance-like' term, a combination of the external disturbances and a term separated from the hysteresis model. It is shown that the proposed controllers not only can guarantee global stability, but also transient performance. © 2007 IEEE.

关键词： Uncertain systems

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Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing

Stereo Vision based Relative Pose and Motion Estimation for ...

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International Conference on Information and Automation (ICIA)

作者： Cui Xu Liankui Qiu Ming Liu Bin Kong Yunjian Ge Department of Automation University of Science and Technology Hefei Anhui China Center for Biomimetic Sensing and Control Research Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China Department of Electrical and Computer Systems Engineering Monash University Melbourne VIC Australia

In this paper, we present a real-time stereo vision based pose and motion estimation system that will be used for landing an unmanned helicopter on a moving target such as a ship deck. The vision algorithm mainly consists of a feature extraction task and a pose and motion estimation task. The 2D planer target with regular features defined can significantly simplify the feature extraction task such as corner detection and feature points matching. To effectively estimate the distance between the camera carrier and target a stereo camera system is applied. By means of sub-pixel corner location the precisions of pose estimation and relative motion detection can be improved. We present results from semi-physical simulation which show that our vision algorithm is accurate and robust. The methodology provides an effective subsystem for the development of autonomous robot helicopter that will land on a given target under the guide of vision.

关键词： Stereo vision Motion estimation Helicopters Feature extraction Cameras Robot vision systems Real time systems Marine vehicles Metalworking machines Computer vision

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Optimal design of alloy steels using evolutionary computing 4

Optimal design of alloy steels using evolutionary computing

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4th International Conference on Knowledge-Based intelligent engineering systems and Allied Technologies, KES 2000

作者： Mahfouf, M. Tenner, J. Linkens, D.A. Abbod, M.F. Department of Automatic Control and Systems Engineering The University of Sheffield Mappin Street SheffieldSI 3JD United Kingdom Corus Research Development and Technology Swinden Technology Centre Moorgate Rotherham United Kingdom

ISBN: (纸本)0780364007

Over the last four years efforts have been devoted towards the development and validation of mechanical test result models relating to a range of alloy steels. Several neural-network based models have been developed, two of which are related to the mechanical test results of Ultimate Tensile Strength (UTS) and Reduction of Area (ROA). The ultimate aim of developing these models is to pave the way to process optimisation through better predictions of mechanical properties. In this research we propose to exploit such neural network models in order to determine the optimal alloy composition and heat treatment temperatures required, given certain predefined mechanical properties such as the UTS and ROA. Genetic Algorithms are used for this purpose. The results obtained are very encouraging. © 2000 IEEE

关键词： Alloy steel

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Optimal design of alloy steels using evolutionary computing

Optimal design of alloy steels using evolutionary computing

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International Conference on Knowledge-Based intelligent Information engineering systems (KES)

作者： M. Mahfouf J. Tenner D.A. Linkens M.F. Abbod Corus Research Development and Technology Swinden Technology Centre Rotherham UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Over the last four years efforts have been devoted towards the development and validation of mechanical test result models relating to a range of alloy steels. Several neural-network based models have been developed, two of which are related to the mechanical test results of Ultimate Tensile Strength (UTS) and Reduction of Area (ROA). The ultimate aim of developing these models is to pave the way to process optimisation through better predictions of mechanical properties. In this research we propose to exploit such neural network models in order to determine the optimal alloy composition and heat treatment temperatures required, given certain predefined mechanical properties such as the UTS and ROA. Generic Algorithms are used for this purpose. The results obtained are very encouraging.

关键词： Iron alloys Steel Mechanical factors Heat treatment Genetic algorithms systems engineering and theory System testing Predictive models Neural networks Temperature

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Experimental comparison of nonlinear control strategies for vehicle speed control

Experimental comparison of nonlinear control strategies for ...

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IEEE Conference on control technology and Applications (CCTA)

作者： K.J. Hunt J. Kalkkuhl H. Fritz T.A. Johansen T. Gottsche Centre for Systems and Control Department of Mechanical Engineering University of Glasgow Glasgow UK Intelligent Systems Group FT3 AI Daimler-Benz Research Berlin Germany Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway Driver-assistance Systems Group FT3 AA Daimler-Benz Research Stuttgart Germany

This paper describes an experimental comparison of two alternative nonlinear automotive speed control systems. The first approach is based on interpolation of multiple linear controllers designed using multiple local linear models. The second approach is based upon geometric nonlinear control theory and utilises feedback linearisation. This paper focuses on the engineering aspects and experimental comparison in a test vehicle. The controllers are tested in a range of speed-profile tracking tasks, and in a disturbance rejection task (the vehicle is driven up a 10% slope). For comparison, linear PI/PID controllers are implemented.

关键词： Velocity control control systems Testing control design control theory Three-term control Gears Vehicle dynamics Diesel engines Nonlinear control systems

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Recapitalizing the Navy through optimized manning and improved reliability

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NAVAL ENGINEERS JOURNAL 1998年第6期110卷 61-72页

作者： Anderson, DE Malone, TB Baker, CC Mr. David E. Anderson:is a Navel Engineer with the Naval Sea Systems Command where he is currently assigmd to the HumanSystems Integration branch. Mr Anderson has a Bachelor of Science degree an Environmental Engineering from Flurida Technological University and a Master's in Environmental Engiwering from the University of Central Flurida. He currentEy is an HSI manager for a number oflvay R&D and skig acquisition efforts. Dr. Thomas B. Malone:received a Ph.D. in Experimental Psychology from Fordham University in 1964. He is President of Carlow International Incorporated an organization dedicated to human factors research and development with emphasis an mantime systems. He has directed over 350 programs and projects in his 33 year career and is responsible for overall management of all contract programs within the Corporation. He is a Past President of the Human Factors and E r g m i c s Society (HFES) of which he is a Fellow. He is also a Fellow of the Washington Academy of Sciences He was selected as a member of the N A S Space Sciences Technical Advisuiy Committee on Technoloo Requirements for Human Performance on Long Duration Space Missions in 2989 and 90. He was elected as the First Chair of the Systems Development Technical Group of the HFES. Dr Malone is currently managing eflorts to devehp and auto- mate standardized processes for canducting human systems integration (HSI) in the military weapon systems acquisition process and fov developing automated tools to facilitate fledormance of specific steps in the HSI process. Dr Malone also is currently occupied in applying human engineering to the DD 21 and is serving as the Chair ofthe System ManninglHuman Perfomzance Working IPT under the DD 21 ManninglHSI IPT chaired ty PMS 500M. Mr. Clifford Baker:has over 20 years experience in developing and applying human factors technology to complex systems. He holds a masters degree in psychology with a specialization in human factors engineering and he is a Board Certified Human Factors Engineering Profesional

Reduced manning is the process (and the result) of removing human functions from a system while retaining or improving system operability and effectiveness. Reliability and maintainability characterize a system's operability and effectiveness. Reduced manning impacts system reliability by changing the characteristics of (1) human error associated with system operation and maintenance, (2) time to repair failed components, and (3) mean-time-between-failures (MBTF) in a reduced manning environment. Simply reducing manning without compensating for system dependence on human involvement generally has a negative impact on system maintainability. Methods to address this include (1) human-system integration design of maintenance interfaces and (2) design of operations activities that are closely related to device failures. After demonstrating reliable performance through testing and operation, ship commanders can be assured that fewer people can effectively operate and maintain Navy ships and systems.

关键词： Naval vessels

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Roles of neural and evolutionary computing in intelligent software systems

British Telecom technology journal

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British Telecom technology journal 1996年第4期14卷 46-54页

作者： Tsui, K.C. Azvine, B. Plumbley, M. Hong Kong Polytechnic University of Essex Kings College University of London BT Laboratories Manchester University Dynamics and Control Research Group Engineering Department Manchester University Contr. and Instrum. Research Group Staffordshire University Intelligent Systems Research Group Churchill College Cambridge United Kingdom Thorn-EMI Ctrl. Res. Laboratories Cambridge Univ. Eng. Department Centre for Neural Networks King's College London Department of Computer Science Electron. and Electrical Engineering King's College London United Kingdom European Neural Network Society

This paper describes two computing paradigms known as neural computing and evolutionary computing, and their potential contribution to building intelligent software systems. The paper begins by giving a brief introduction to the origins of each paradigm. Then two sections introduce the basic principles, and identify the role of each paradigm in intelligent system design. Each section ends with a number of applications that have been or are being investigated. These include connection admission control, modem communication, adaptive model-based control, face and handwriting recognition, frequency assignment, help-desk scheduling, financial time-series prediction, face recognition and evolving agent behavior. A section introduces the idea of using communications theory to design neural networks and the paper concludes with the authors' views on the future of neural and evolutionary computing for intelligent software systems.

关键词： Artificial intelligence

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A Smooth Variable Structure Position control Of PCB Motor

A Smooth Variable Structure Position Control Of PCB Motor

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Singapore International Conference on intelligent control and Instrumentation, SICICI

作者： A.K. Paul B. Bandyopadhyay M.C. Srisailam Divn. of Remote Handling and Robotics Bhabha Atomic Research Centre Mumbai India Systems and Control Engineering Department of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

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Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic control

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ACM Transactions on Autonomous and Adaptive systems 1000年

作者： Jian Chen Shaorui Zhou Wei Wang Yuzhu Hu Jianqing Li Ben-Guo He Junxin Chen Marwan Omar Ali Kashif Bashir Xiping Hu School of Intelligent Systems Engineering Sun Yat-Sen University China Guangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing Artificial Intelligence Research Institute Shenzhen MSU-BIT University China School of Computer Science and Engineering Faculty of Innovation Engineering Macau University of Science and Technology Macao SAR China Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines Northeastern University China the School of Software Dalian University of Technology China Information Technology and Management Illinois Institute of Technology USA Department of Computing and Mathematics Manchester Metropolitan University UK Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura 140401 Punjab India

Trajectory prediction is a crucial challenge in autonomous vehicle motion planning and decision-making techniques. However, existing methods face limitations in accurately capturing vehicle dynamics and interactions. To address this issue, this paper proposes a novel approach to extracting vehicle velocity and acceleration, enabling the learning of vehicle dynamics and encoding them as auxiliary information. The VDI-LSTM model is designed, incorporating graph convolution and attention mechanisms to capture vehicle interactions using trajectory data and dynamic information. Specifically, a dynamics encoder is designed to capture the dynamic information, a dynamic graph is employed to represent vehicle interactions, and an attention mechanism is introduced to enhance the performance of LSTM and graph convolution. To demonstrate the effectiveness of our model, extensive experiments are conducted, including comparisons with several baselines and ablation studies on real-world highway datasets. Experimental results show that VDI-LSTM outperforms other baselines compared, which obtains a 3% improvement on the average RMSE indicator over the five prediction steps.

关键词： Trajectory Prediction Vehicle Dynamics Interaction Perception Graph Convolution Attention Mechanism

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Knowledge, Information and Creativity Support systems: Recent Trends, Advances and Solutions 1

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丛书名： Advances in intelligent systems and Computing

1000年

作者： Andrzej M.J. Skulimowski Janusz Kacprzyk

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