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Advances in Intelligent and Soft Computing 2011年第4期95卷 737-746页

作者： Kasprzak, Wlodzimierz Przybysz, Pawel Institute of Control and Computation Engineering Warsaw University of Technology ul.Nowowiejska 15/19 Warszawa00-665 Poland

A stochastic approach to spoken sentence recognition is proposed for the purpose of an automatic voice-based dialogue system. Three main tasks are distinguished: word recognition, word chain filtering and sentence recognition. The first task is solved by typical acoustic processing followed by phonetic word recognition with the use of Hidden Markov Models (HMM) and Viterbi search. For the second solution an N-gram model of natural language is applied and a token-passing search is designed for the filtering of important word chains. The third task is solved due to a semantic HMMof sentences. The final sentence is recognized and a meaning is assigned to its elements with respect to given application domain. A particular spoken sentence recognition system has been implemented for train connection queries. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Semantics

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Hand gesture modeling using Dynamic Bayesian networks and Deformable Templates

Hand gesture modeling using Dynamic Bayesian networks and De...

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7th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2011

作者： Wilkowski, Artur Kasprzak, Wlodzimierz Faculty of Geodesy and Cartography Warsaw University of Technology Pl. Politechniki 1 00-661 Warsaw Poland Institute of Control and Computation Engineering Warsaw University of Technology ul. Nowowiejska 15/19 00-665 Warsaw Poland

ISBN: (纸本)9780769546353

The paper presents a stochastic approach to articulated hand (palm shape) tracking in images. The gesture model is given in terms of a Dynamic Bayesian network that incorporates a Hidden Markov Model in order to utilize prior information on gesture structure in the tracking task. The Deformable Templates methodology is applied for hand shape modeling. Experimental evaluation of articulated hand tracking in cluttered environment using particle filtering is provided. A comparison of this method with a typical tracking approach, that makes no use of temporal gesture information, is also given. © 2011 IEEE.

关键词： Hidden Markov models

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A predictive fault-tolerant control scheme for Takagi-Sugeno fuzzy systems *

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IFAC Proceedings Volumes 2011年第1期44卷 4684-4689页

作者： Łukasz Dziekan Marcin Witczak Józef Korbicz Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65–246 Zielona Góra Poland

Abstract In this paper, an active fault-tolerant control strategy is presented. After a short introduction to the Takagi-Sugeno fuzzy systems, a novel control strategy that integrates control and fault identification taking into account a possible actuator saturation is presented. In particular, the fault identification is based on an unknown input observer and integrated with a model-predictive controller taking into account the fault identification error. Finally, the last part of the paper exhibits experimental results regarding the tunnel furnace that confirm the effectiveness of the proposed approach.

关键词： fuzzy fault tolerant control model predictive control fault diagnosis

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Iterative learning control method for a single-phase inverter with sinusoidal output voltage

Iterative learning control method for a single-phase inverte...

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Annual Conference of Industrial Electronics Society

作者： Rajmund Kulawinek Krzysztof Galkowski Lech Grzesiak Anton Kummert Institute of Control and Computation Engineering University of Zielona Gora Poland Institute of Control and Industrial Electronics Warsaw University of Technology Poland Faculty of Electrical Information and Media Engineering University of Wuppertal Germany

This paper considers iterative learning control law design for bothtrial-to-trial error convergence and along the trial performance in the control system of the single-phase inverter (DC/AC). The inverter with passive LC filter act as a high quality AC power source with sinusoidal output voltage. Such solution is typically used for instance in Uninterruptible Power Supply (UPS) system. Standard feedback control cannot eliminate the periodic distortion caused by nonlinear loads. It is shown how a class of control laws can be designed using the theory of linear repetitive processes for this problem where the computations are in terms of Linear Matrix Inequalities (LMIs).The simulations have been performed with the use of Simulink accompanied by PLECS library, which allows to simulate power electronic converter facilities in their realistic working conditions.

关键词： Inverters Stability analysis Convergence Process control Pulse width modulation Vectors Uninterruptible power systems

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State estimation of spatially distributed processes using mobile sensing agents

State estimation of spatially distributed processes using mo...

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2011 American control Conference (ACC)

作者： Michael A. Demetriou Dariusz Ucinski Department of Mechanical Engineering Worcester Polytechnic Institute Worcester MA USA Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland

This work is intended as an attempt to develop a simple real-time guidance scheme for mobile sensors used to enhance estimation of a spatially distributed process described by a partial differential equation. Using Lyapunov stability arguments, a stable control law is provided for each of the mobile agents while taking account of the dynamics of sensor movements, collision avoidance conditions and various modes of inter-agent connectivity. Numerical simulations for a 1D diffusion equation with three sensor agents are included to demonstrate the effectiveness of such a mobile sensor network in improving the system performance.

关键词： Lyapunov methods Mobile communication State estimation Sensor systems Vehicles

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Effect of Respiratory Modulation on Relationship between Heart Rate Variability and Motion Sickness

Effect of Respiratory Modulation on Relationship between Hea...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Chin-Teng Lin Chun-Ling Lin Tzai-Wen Chiu Jeng-Ren Duann Tzyy-Ping Jung Institute of Electrical Control Engineering and Brain Research Center National Chiao-Tung University Department of Biological Science and Technology National Chiao-Tung University Institute for Neural Computation University of California Institute for Neural Computation and Institute of Engineering in Medicine University of California

ISBN: (纸本)9781424441211

This study investigates the interplay among heart rate variability (HRV), respiration, and the severity of motion sickness (MS) in a realistic passive driving task. Although HRV is a commonly used metrically in physiological research or even believed to be a direct measure of sympathovagal activities, the results of MS-effected HRV remain mixed across studies. The goal of this study is to find the source of these contradicting results of HRV associated with MS. Experimental results of this study showed that the group trend of the low-frequency (LF) component and the LF/HF ratio increased and high-frequency (HF) component decreased significantly as self-reported MS level increased (p<0.001), consistent with a perception-driven autonomic response of the cardiovascular system. However, in one of the subjects, the relationship was reversed when individuals intentionally adjust themselves (deep breathing) to relieve the discomfort of MS during the experiments. It appears that the correlations between HRV and MS level were higher when individuals made fewer adjustments (the number of deep breathing) during the passive driving experiments.

关键词： Heart rate variability Correlation Hafnium Electrocardiography Educational institutions Switches Physiology

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Design of robust iterative learning control schemes in a finite frequency range

Design of robust iterative learning control schemes in a fin...

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2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011

作者： Paszke, Wojciech Rogers, Eric Galkowski, Krzysztof Institute of Control and Computation Engineering University of Lifelon Góra URL Podgórna 50 65-246 Lifelon Góra Poland School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

ISBN: (纸本)9781612848167

Iterative learning control has been especially developed for systems defined over a finite duration that repeat the same task. Each execution is known as a trial, or pass, and the sequence of operations is that a trial is completed, the system is then reset to the starting location, and the next pass begins. The novel feature of this control law design method is to use information from the previous pass, or a finite number of previous passes, to update the control input applied on the next pass and thereby improve performance from pass-to-pass. Iterative learning control has an inherent two-dimensional systems structure since the dynamics evolve in two independent directions. In this paper, the repetitive process structure is exploited to develop a controller design algorithm that produces both a stabilizing feedback controller in the time domain and a feedforward controller that guarantees convergence in the pass-to-pass domain for all admissible uncertainties. Using the Generalized Kalman-Yakubovich-Popov lemma, controller design is performed over a finite frequency range. A major advantage of this new algorithm lies in the fact that it can be computed using linear matrix inequality software without incurring unacceptable computing cost. © 2011 IEEE.

关键词： Linear matrix inequalities

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Reconstruction of a social network graph from incomplete call detail records

Reconstruction of a social network graph from incomplete cal...

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International Conference on computational Aspects of Social Networks, CASON

作者： Mariusz Kamola Ewa Niewiadomska-Szynkiewicz Bartłomiej Cezary Piech Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland Research and Academic Komputer Network (NASK) Warsaw Poland

Real-life call detail data (CDR) are used to build a graph of a social network of telecommunication operator customers. Affiliation network is used in graph construction since CDR data are partially kept anonymous. A number of the resulting network properties are examined to prove the correctness of the graph construction algorithm. Cliques in the network and network dynamics are analyzed; suggestions are given about possible utilization of the obtained information in the operation of a telecommunication operator.

关键词： Social network services Communications technology Communities Data mining Joining processes Algorithm design and analysis Shape

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Deployment algorithm using simulated annealing

Deployment algorithm using simulated annealing

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Slawomir Nikiel Pawel Dabrowski Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora POLAND Faculty of Electrical Engineering University of Zielona Gora Zielona Gora POLAND

In this paper, a novel information design algorithm is proposed. It is based on the simulated annealing, which is regarded as one of the important meta-heuristic optimization methods. The idea behind our algorithm originates from the search for optimal solution, where selection avoids local minima. The simulated annealing model is used in the construction of diagrams depicting heating systems. The method offers an automated visual design tool, useful in CAD 1 construction of complex systems. The paper discusses the theoretical background, the properties of the proposed algorithm alongside with the sample application prototype outputs.

关键词： Heating Simulated annealing Visualization Algorithm design and analysis Cost function Cooling Temperature distribution

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2D systems based iterative learning control revisited

2D systems based iterative learning control revisited

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2011 International Conference on Advanced Mechatronic Systems, ICAMechS 2011

作者： Hladowski, Lukasz Galkowski, Krzysztof Rogers, Eric Kummert, Anton Institute of Control and Computation Engineering University of Zielona Gora Podgorna 50 Zielona Gora Poland University of Wuppertal Germany School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom Faculty of Electrical Information and Media Engineering Communication Theory University of Wuppertal Germany

ISBN: (纸本)9780955529375

Iterative learning control can be applied to systems that repeat the same task over a finite duration with resetting to the starting point once each one is complete. The idea of iterative learning control is to make use of information from previous executions of the task in order to update the control signal applied during the current execution and thereby sequentially improve performance. This form of control can be treated as a class of 2D systems. In this paper, a critical overview of progress on this application area for 2D systems theory is given, including results from experimental verification on a gantry robot, and discussion of some open research questions. © 2011 Intl Journal of Adv Mechatr.

关键词： Learning algorithms

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