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International Conference on Innovative Computing, Information and control (ICICIC)

作者： Wen-Hsien Ho Jinn-Tsong Tsai Tung-Kuan Liu Jyh-Horng Chou Department of Medical Information Management Kaohsiung Medical University Taiwan Department of Computer Science National Ping Tung University of Education Taiwan Institute of System Information and Control National Kaohsiung First University of Science and Technology Taiwan

This paper considers the design problem of the robust optimal state-feedback controllers for the uncertain nonlinear dynamic systems, where the uncertain nonlinear dynamic systems can be represented by the Takagi-Sugeno (TS) fuzzy-model-based dynamic systems with both elemental parametric uncertainties and norm-bounded approximation error. An integrative method, which complementarily fuses the robust stabilizability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), is presented in this paper to design the robust quadratic-optimal state-feedback controllers, in which the robust stabilizability condition is proposed in terms of linear matrix inequalities (LMIs). A design example is given to demonstrate the applicability of the proposed integrative optimization approach.

关键词： Robust control Optimal control Nonlinear control systems control systems Design optimization Takagi-Sugeno model Uncertainty Approximation error Fuses Algorithm design and analysis

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ML DESIGNERTM as simulation tool in robotics

ML DESIGNERTM as simulation tool in robotics

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International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Mario Schulz Ivan Velickovic Sasa Andelkovic Volker Zerbe Goran S. Dordevic Computer Science and Automation Faculty System and Control Theory Department Technical University Ilmenau Ilmenau Germany Faculty of Electronics engineering Robotics Lab University of Nis Nis Serbia

Robots are complex systems that require multidisciplinary approach to development. Hence, both research and production of a robotic system require a tool that would provide means for coordination between teams with different areas of expertise as well as the ability to integrate, simulate and debug the system in a comprehensive way. Also, with the growing popularity of service robotics, research and modeling of human-machine interaction gains the attention. From a simulation tool, it is expected to support the means for describing this interaction. For that purpose we are investigating the ML Designer TM , not just as a possible simulation tool, but also as a modeling and design paradigm. For verification purposes we will compare it against MATLAB Simulink TM . A pneumatic system will be modeled with both tools and a comparison will be performed.

关键词： Mathematical model Robot kinematics Cleaning system testing Power system modeling MATLAB Pneumatic systems control systems Level control Costs

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A Brief Overview of the Complex Biological and Engineering Networks

A Brief Overview of the Complex Biological and Engineering N...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Jinhu Lu Derong Liu Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and System Science Chinese Academy and Sciences Beijing China Department of Electrical and Computer Engineering University of Illinois Chicago Chicago IL USA

Over the last few decades, complex networks have been intensively studied throughout many fields of science, especially in biological and engineering sciences. This paper briefly reviews the main advances in the complex biological and engineering networks, aiming to bridge the gap between the complex biological and engineering networks. Biologists pay more attention to the mechanisms and local dynamics of individuals, however, engineers are more interesting in the global dynamical behaviors. It is the time for the biologists and engineers to work together for better understanding the complex networks.

关键词： Biological system modeling Complex networks Mathematical model Biology Genetics Power system modeling Bridge circuits Evolution (biology) computer networks Power engineering computing

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Integrating Attribute and Status Constraint into the RBAC Model for Access control in Ubiquitous systems

Integrating Attribute and Status Constraint into the RBAC Mo...

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International Conference on Future Generation Communication and Networking (FGCN)

作者： Deqing Zou Jong Hyuk Park Tai-hoon Kim Xueguang Chen Cluster and Grid Computing Laboratory & Services Computing Technology and System Laboratory School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computer Engineering Kyungnam University Masan Gyeongsangnam South Korea Hannam University South Korea Department of Control Science and Engineering Huazhong University of Science and Technology China

It now becomes a trend to implement the interconnections between resources as well as services in ubiquitous systems. Attribute-based authorization mechanisms, protocols and systems are gaining in popularity, such as SAML, XACML, Shibboleth, etc. However, their management efficiency could be further improved. The Role-based Access control (RBAC) mechanism is widely accepted as a general mechanism for authorization management. However, RBAC is still not flexible enough to address various application scenarios in ubiquitous systems. We propose a new architecture for access control in ubiquitous systems that impose attribute and status constraints on the RBAC model, which can significantly enhance the generality and flexibility of authorization by integrating the advantages of RBAC and attributed- based access control models. Moreover, the state mechanism proposed in this architecture captures the states of the authorization elements so as to reflect the outcomes of the authorization control. Finally, we analyze the flexibility and generality of this architecture in ubiquitous systems.

关键词： Access control Authorization Permission Grid computing Pervasive computing Access protocols Application software Markup languages computer science control system analysis

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Circuit Tolerance Design Using an Improved Immune Algorithm

Circuit Tolerance Design Using an Improved Immune Algorithm

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International Conference on Innovative Computing, Information and control (ICICIC)

作者： Jinn-Tsong Tsai Wen-Hsien Ho Jyh-Horng Chou Tung-Kuan Liu Department of Computer Science National Ping Tung University of Education Ping Tung Taiwan Department of Medical Information Management Kaohsiung Medical University Kaohsiung Taiwan Institute of System Information and Control National Kaohsiung First University of Science and Technology Kaohsiung Taiwan

In this paper, we apply an improved immune algorithm to solve a circuit tolerance design problem, which has many design parameters and constraints. The evolutionary design approach, called a Taguchi immune algorithm (TIA), with a penalty function is proposed for solving the constrained optimization problem. The proposed TIA approach with a penalty function is effectively applied to solve the circuit tolerance design problem.

关键词： Circuits Algorithm design and analysis Immune system Constraint optimization Design optimization Yield estimation Radio frequency computer science Health information management Medical control systems

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Robust quadratic optimal control of uncertain TS-fuzzy-model-based dynamic systems

Robust quadratic optimal control of uncertain TS-fuzzy-model...

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IEEE International Conference on systems, Man and Cybernetics

作者： Wen-Hsien Ho Jinn-Tsong Tsai Tung-Kuan Liu Jyh-Horng Chou Department of Medical Information Management Kaohsiung Medical University Taiwan Department of Computer Science National Ping Tung University of Education Taiwan Department of Mechanical and Automation Engineering National Kaohsiung First University of Science and Technology Taiwan Institute of System Information and Control National Kaohsiung First University of Science and Technology Kaohsiung Taiwan

This paper considers the design problem of the robust quadratic-optimal parallel-distributed-compensation (PDC) controllers for the Takagi-Sugeno (TS) fuzzy-model- based control systems with both elemental parametric uncertainties and norm-bounded approximation error. An integrative method, which complementarily fuses the robust stabilizability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), is presented in this paper to design the robust quadratic-optimal PDC controllers, in which the robust stabilizability condition is proposed in terms of linear matrix inequalities (LMIs).

关键词： Robust control Optimal control Nonlinear control systems control systems Uncertainty Approximation error Fuzzy control Fuzzy systems Algorithm design and analysis Nonlinear dynamical systems

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A Study On Iterative Learning control With Adjustment Of Learning Interval For Monotone Convergence In The Sense Of Sup-Norm

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Asian Journal of control 2008年第1期4卷

作者： Kwang-Hyun Park Zeungnam Bien Division of EE Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S. M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.

It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.

关键词： Iterative learning control monotone convergence learning interval sup-norm

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Intelligent Design of Automobile Fixtures with Genetic Algorithms

Intelligent Design of Automobile Fixtures with Genetic Algor...

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International Conference on Innovative Computing, Information and control (ICICIC)

作者： Tung-Kuan Liu Hou-Yuan Lin Chiu-Hung Chen Jyh-Horng Chou Jinn-Tsong Tsai Wen-Hsien Ho Institute of System Information and Control National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department of Computer Secience National Ping Tung University of Education Ping Tung Taiwan Department of Medical Information Management Kaohsiung Medical University Kaohsiung Taiwan

The design of an automobile fixture system should meet several interference-free requirements while locating fixture positions, e.g. (1) interference-free among various fixture modules, (2) interference-free among work pieces and fixture modules during clipping and moving and (3) interference-free among machining tools and fixture modules. Furthermore, a good design also needs to minimize the cost by selecting proper fixtures from the existed modular fixtures under clip-force limitations in the specification. To achieve multiple complex constraints and cost-minimum requirement, real-coded genetic algorithm (RGA) is proposed to resolve the optimum problem. Comparing to the traditional try-and-error method, the design based on this work is obviously cost-effective and time-saving by cutting down the total deign time and fixture assembling time due to the capability of finding more precise and complete solution.

关键词： Intelligent vehicles Algorithm design and analysis Automobiles Fixtures Genetic algorithms Machining Costs Interference constraints Design methodology Assembly

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Dimensionality Reduction and Attack Recognition using Neural Network Approaches

Dimensionality Reduction and Attack Recognition using Neural...

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International Joint Conference on Neural Networks (IJCNN)

作者： Vladimir A. Golovko Leanid U. Vaitsekhovich Pavel A. Kochurko Uladzimir S. Rubanau Computer Science Intelligence Information Technologies Department and Laboratory of Articial Neural Networks Brest State Technical University Belarus System Analysis Control and Processing of Information Department of Intelligent Information Technologies Brest State Technical University Belarus Department of Intelligent Information Technologies Brest State Technical University Belarus Information Systems Faculty Brest State Technical University Belarus

Most current Intrusion Detection systems (IDS) examine all data features to detect intrusion. Also existing intrusion detection approaches have some limitations, namely impossibility to process a large number of audit data for realtime operation, low detection and recognition accuracy. To overcome these limitations, we apply modular neural network models to detect and recognize attacks in computer networks. They are based on the combination of principal component analysis (PCA) neural networks and multilayer perceptrons (MLP). PCA networks are employed for important data extraction and to reduce high dimensional data vectors. We present two PCA neural networks for feature extraction: linear PCA (LPCA) and nonlinear PCA (NPCA). MLP is employed to detect and recognize attacks using feature-extracted data instead of original data. The proposed approaches are tested with the help of KDD-99 dataset. The experimental results demonstrate that the designed models are promising in terms of accuracy and computational time for real world intrusion detection.

关键词： Neural networks Intrusion detection Principal component analysis computer vision computer networks Multi-layer neural network Multilayer perceptrons Data mining Vectors Feature extraction

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Adaptive tracker for nonlinear time-varying systems against actuator failures

Adaptive tracker for nonlinear time-varying systems against ...

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25th IASTED International Conference on Modelling, Identification, and control, MIC 2006

作者： Tsai, Jason S. H. Wei, Chao-Lung Guo, Shu-Mei Shieh, Leang S. Control System Laboratory Department of Electrical Engineering National Cheng Kung University Tainan 701 Taiwan Department of Computer Science and Information Engineering National Cheng-Kung University Tainan 701 Taiwan Department of Electrical and Computer Engineering University of Houston Houston TX 77204-4005 United States

ISBN: (纸本)0889865515

The adaptive observer for the nonlinear time-varying continuous-time system has been proposed in this paper. Also, a novel state-space adaptive observer-based tracker scheme for nonlinear time-varying sampled-data systems, which have unanticipated decay factors in the actuators, has been proposed in this paper. Here, we utilize the advantage of digital redesign methodology to convert a theoretically well-designed analog controller/observer with a high-gain property into its corresponding low-gain digital controller/observer for a practical implementation.

关键词： Continuous time systems

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