作者:
T. IwataM. YamakitaK. FurutaDept. of Mechanical and Environment Informatics
Tokyo Institute of Technology. Takaaki Iwata received the BE degrees in Mechanical Engineering in 1990 from Waseda University
Japan. From 1990 to 1996 he jointed NOK Co. Ltd. In 1996 he received his ME degrees in Mechanical and Environmental Informatics from Tokyo Institute of Technology. He is currently a PhD student of Tokyo Institute of Technology. He is a member of SICE RSJ JSME and IEEE. Dept. of Control and Systems Engineering
Tokyo Institute of Technology. Masaki Yamakita received Be
ME and PhD from Tokyo Institute of Technology in 1984 1986 and 1989 respectively. From 1989 he was a Research Associate in the Department of Control Engineering of Tokyo Institute of Technology and from 1993 he was a Lecturer at Tokyohashi University of Technology. He is currently an Associate Professor in the Department of Control and Systems Engineering of Tokyo Institute of Technology. His research interests include robotics learning control robust control and non-linear control. Katsuhisa Furuta was born in Tokyo
Japan in 1940. He received his B.S. M.S. and Ph.D. degrees in Chemical Engineering from Tokyo Institute of Technology in 1962 1964 and 1967 respectively. Since 1967 he has been a teaching staff of Tokyo Institute of Technology where he is currently a Professor of Graduate School of Information Science and Engineering. He is a fellow of IEEE and SICE. He is now a member of Science Council of Japan the secretary of the engineering division a council member of IFAC and the President of SICE in 1999.
In this paper, an improved version of online continuation method controller for PWM systems is presented. The online continuation method controller solves the PWM-type deadbeat control problem numerically. By using th...
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In this paper, an improved version of online continuation method controller for PWM systems is presented. The online continuation method controller solves the PWM-type deadbeat control problem numerically. By using this algorithm, iterations for solving the set of nonlinear equations always start from a good solution candidate and therefore it can be used online. The original continuation method is modified so that it is applicable to real systems. The validity of the proposed control method is demonstrated by a laboratory-scale flexible arm manipulator.
Stroke extraction is a necessary part of the majority of semantic based off-line signature verification systems. This paper discusses some stroke extraction variants which can be efficiently used in such environments....
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Stroke extraction is a necessary part of the majority of semantic based off-line signature verification systems. This paper discusses some stroke extraction variants which can be efficiently used in such environments. First the different aspects and problems of signature verification are discussed in conjunction with off-line analysis methods. It is shown, that on-line analysis methods perform usually better than off-line methods because they can make use of the temporal information (and thereby get a better perception of the semantics of the signature). To improve the accuracy of off-line signature verification methods the extraction of semantic information is necessary. Three different approaches are introduced to reconstruct the original strokes of a signature. One purely based on simple image processing algorithms, one with some more intelligent processing and one with a pen model. The methods are examined and compared with regard to their benefits and drawbacks on further signature processing.
The paper deals with design of a robust controller via algebraic mu-synthesis for two tank system, which is a well known benchmark problem. The controller is designed by decoupling two-input two-output system into two...
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The paper deals with design of a robust controller via algebraic mu-synthesis for two tank system, which is a well known benchmark problem. The controller is designed by decoupling two-input two-output system into two identical SISO (Single-Input Single-Output) plants. The task of designing the robust controller is then performed by finding a suitable pole placement for the SISO systems with the robustness assessed by structured singular value denoted mu for generalized plant. The final controller is compared with D-K iteration as a standard tool for mu-synthesis through simulation for nominal plant and plant perturbed by the worst case perturbation.
The contribution is focused on brief description of proposed control design process and primarily on practical application of obtained simple robust control algorithms. The synthesis is based on general solutions of D...
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The contribution is focused on brief description of proposed control design process and primarily on practical application of obtained simple robust control algorithms. The synthesis is based on general solutions of Diophantine equations in the ring of proper and stable rational functions, Youla-Kucera parameterization and divisibility conditions and one of its main advantages can be seen in existence of single scalar tuning parameter. The real-time control behaviour has been tested on laboratory model of hot-air tunnel which has been mathematically described by various transfer functions containing parametric type of uncertainty.
This paper investigates the development of a new type of dynamic neuro-fuzzy system with neuronal rules and its application to fault detection and isolation (FDI) of components of a dynamic process. Hybrid learning ba...
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Introduction: AIDA v4 is an interactive educational diabetes simulator that has been made available, for over a decade, without charge via the Internet. The software is currently freely accessible at http://***. This ...
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In PLL motor speed control systems, PID-type loop filter can improve disturbance sensitivity. In this article, we show that, an existing PI-type PLL/PWM motor speed controller (Machida and Kobayashi, 2002) can be supp...
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ISBN:
(纸本)4907764286;97
In PLL motor speed control systems, PID-type loop filter can improve disturbance sensitivity. In this article, we show that, an existing PI-type PLL/PWM motor speed controller (Machida and Kobayashi, 2002) can be supplemented with addition a difference operation including the I-counter, together with FPGA experimental result.
Stability conditions of networked multiple mobile agents in the face of stochastic communications failure are derived. Using a graph-theoretic approach, we provide stability analysis for the case where we employ zero-...
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Stability conditions of networked multiple mobile agents in the face of stochastic communications failure are derived. Using a graph-theoretic approach, we provide stability analysis for the case where we employ zero-order hold sampled-data controller and the information of relative positions/velocities are unavailable for certain time instants at each agent. Finally, numerical examples are provided to illustrate the theoretical results obtained in this paper.
StoLPaN, a pan-European consortium of companies, universities and user groups co-funded by the European Commission (EU), Information Society Technologies (IST) Programme aims to define open commercial and technical fr...
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StoLPaN, a pan-European consortium of companies, universities and user groups co-funded by the European Commission (EU), Information Society Technologies (IST) Programme aims to define open commercial and technical frameworks for the remote management of NFC-enabled (NFC: Near Field Communication) services on mobile devices. These frameworks will facilitate the deployment of NFC-enabled mobile applications across a wide range of vertical markets, regardless of the phone type and the nature of the services required. This paper introduces the application opportunities of the NFC technology, the business aspects of the NFC based service development and the technical infrastructure implementing the core of the NFC-enabled services.
This paper investigates the development of a new type of dynamic neuro-fuzzy system with neuronal rules and its application to fault detection and isolation (FDI) of components of a dynamic process. Hybrid learning ba...
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This paper investigates the development of a new type of dynamic neuro-fuzzy system with neuronal rules and its application to fault detection and isolation (FDI) of components of a dynamic process. Hybrid learning based on fuzzy clustering algorithm and the steepest-descent method, is used to train the proposed neuro-fuzzy system. The experimental case study concerns the component fault diagnosis of a three-tank system. A neuro-fuzzy simplified observer scheme is used to generate the residuals (symptoms) in the form of one step-ahead prediction errors. These are then analysed by a neural classifier in order to take the appropriate decision regarding the actual process behaviour.
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