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3rd International Conference of engineering Against Failure, ICEAF 2013

作者： Farmakopoulos, Michael G. Thanou, Michalis D. Nikolakopoulos, Pantelis G. Papadopoulos, Chris A. Tzes, Anthony P. Machine Design Laboratory Department of Mechanical Engineering and Aeronautics University of Patras Patras-26504 Greece Automation and Robotics Laboratory Electrical and Computer Engineering Department University of Patras Patras-26504 Greece

ISBN: (纸本)9789608810433

Active magnetic bearings (AMBs) support a rotating shaft, inside a stator, contactless. Their major benefit in respect to hydrodynamic journal bearings is the possibility of operating in much higher rotational speeds (above 20.000 RPM). This is due to the fact that, their angular velocity is only limited by the strength of the shaft material and always they have stabilized operation without any mechanic contact. Also, AMBs are resulting in long life time, without the use of any lubrication system, eliminating thus the complexity of the lubricant network and promoting green operation of the rotating machines. Furthermore, the electromagnetic bearings are active elements that allow the measurement and the control of the position of the shaft, targeting in most accurate equilibrium positions, in terms of the shaft operation. Therefore, a suitable control system is required for a magnetic bearing, to exploit the above advantageous operational characteristics. In this study, the model of the control system of a Magnetic Bearing in terms of sensors and power amplifiers is presented and its design guidelines are explicitly described. As a first step, the non linear equation of the movement of the shaft inside the magnetic bearing, in one direction (y-axis), is introduced. Then, the linearization of this particular equation in a specific equilibrium point is performed and presented. Consequentially, the linear equation is transformed via Laplace method and the model of the Active Magnetic Bearing is finally developed. In addition to these, the sensor and the power amplifiers are modeled, to simulate the AMB system as a whole. The Matlab software is used to simulate the components that the AMB is consisted of. The P, I and D gains are the result of this simulations, which are produced via robust control method, in Single-Input-Single-Output (SISO) tool module of Matlab. At the end, the Simulink module of Matlab is energized to check the control characteristics of the develop

关键词： Robust control

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An Overview of the Triangle of Knowledge as a Driving Force for Sustainable Growth in Developing Nations

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IFAC Proceedings Volumes 2013年第8期46卷 106-115页

作者： P.P. Groumpos Department of Electrical and Computer Engineering Laboratory for Automation and Robotics University of Patras Patras Greece

Today's challenging and critical world situation is briefly reviewed. Mathematical and geometrical approaches to the Knowledge Triangle (KT) concept are outlined and analyzed. The Triptych: Education + Research+ Innovation has been used in the definition of the Knowledge Triangle (KT). The relationship of the KT and the Lisbon Strategy is presented and discussed. The European Institute of Technology (EIT) is briefly mentioned which also uses the KT but in addition is taking into consideration the important component of Entrepreneurship. A new approach to explore an expanded triptych of KT, by adding the Entrepreneurship-Business component (K-E+R-I+E-B), is attempted and a new definition is developed by exploring better the geometric triangle schema and the expanded triptych. The new term been introduced is the Triangle of Knowledge (ToK). It is fully explained and justified for this new approach using the expanded (K-E+R-I+E-B) fundamental concepts. The Triangle of Knowledge (ToK) guarantees the full and dynamic interaction between all components needed for the sustainable development-growth of a Region-Country. The different funding schemes are considered and the pyramid for sustainable development is presented for the first time especially for Developing Nations. This new approach seems to address better many fundamental issues and problems of the Knowledge-Based-Society (KBS). The important role that Control can play in the further development and mathematical study of the new proposed concept for the Triangle of Knowledge (ToK) is briefly formulated and analyzed. Interesting and future research directions for the proposed new approaches are presented and discussed

关键词： sustainable development economic models knowledge triangle systems theory control triangle of knowledge

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Non Linear Hebbian Learning Techniques and Fuzzy Cognitive Maps in Modeling the Parkinson's Disease

Non Linear Hebbian Learning Techniques and Fuzzy Cognitive M...

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Mediterranean Conference on Control & automation

作者： Anninou P. Antigoni Groumpos P. Peter Laboratory of Automation and Robotics Department of Electrical and Computer Engineering University of Patras

ISBN: (纸本)9781479909964

A new soft computing method using Fuzzy Cognitive Maps for modeling and predicting Parkinson's disease has been proposed. A decision support system based on human knowledge and experience, with a Fuzzy Cognitive Map trained using unsupervised Nonlinear Hebbian Leanring algorithm are proposed. The basic theories of this learning method are reviewed and presented. The initial values of concepts are represented as fuzzy membership values and trained to get new updated weight matrix and new concept values. Simulations are performed and very interesting results are obtained and discussed. A comparison between the results with and without a learning algorithm is considered.

关键词： Fuzzy cognitive maps Parkinson Disease decision support systems Hebbian principle Learning methods learning algorithms Modeling

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A Geometric Approach for the Sustainable Economic Growth of a Country: The Equilateral Triangular Model

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IFAC Proceedings Volumes 2013年第8期46卷 225-230页

作者： Peter P. Groumpos Department of Electrical and Computer Engineering Laboratory for Automation and Robotics University of Patras Patras GREECE (Tel: +30-2610-996449

Strategic perspectives of sustainable development are considered and discussed. The concept of environmental sustainability is addressed and its relation to sustainable development is discussed. By undertaking mathematical calculations and geometrical axioms, this study shows a different approach in regional development based on various settings between three fundamental concepts: Education + Research- Innovation + Entrepreneurship. The Triangle of Knowledge (ToK) is defined using the above three fundamental concepts. The Triangle of Knowledge refers to the interaction between education, research-innovation and entrepreneurship, which are key drivers for the Knowledge-Based-Society (KBS). This concept relates to the need to pay attention on an equal basis to the three factors on a systemic and continuous way. Particular contribution to the Triangle of Knowledge is attempted, through the introduction of Excellence within the proposed Equilateral Triangular Model Approach (ETMA). A new performance index is defined, the Excellence Performance Indicator (EPI) and used on this new proposed methodology of ETMA. A number of simulation runs using ETMA and the Triangle of Knowledge(ToK) is performed and a number of interesting results are obtained and discussed.

关键词： sustainable development economic models triangle of knowledge (ToK)

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Modeling and Analysis of a Hybrid-Energy System using Fuzzy Cognitive Maps

Modeling and Analysis of a Hybrid-Energy System using Fuzzy ...

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Mediterranean Conference on Control & automation

作者： Ioannis E. Karagiannis Peter P. Groumpos Department of Electrical and Computer Engineering University of Patras Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras

ISBN: (纸本)9781479909964

A hybrid energy system is an excellent solution to the problem of not being able to meet the power demand using a single energy source. Such a system incorporates a combination of one or more renewable energy source (RES) such as solar photovoltaic, wind-energy, geothermal, and could also have a conventional generator for backup. This paper discusses different system components of a hybrid energy system and develops a theoretical model to find an acceptable combination of energy components. A theoretical model of a hybrid energy system, using Fuzzy Cognitive Maps (FCMs) and learning algorithms, is presented. FCMs perform well even with missing data and despite nonlinearities, which such systems usually have. The simulation results verified the effectiveness and reliability of the proposed hybrid energy system.

关键词： ENERGY SYSTEMS Fuzzy cognitive maps Power demand Energy sources learning algorithms Theoretical Models Modeling HYBRID Hybrid electric vehicles system component Simulation results missing data

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Toward a Hybrid Approach to Generate Software Product Line Portfolios

Toward a Hybrid Approach to Generate Software Product Line P...

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IEEE Congress on Evolutionary Computation

作者： Jonathas Cruz Pedro Santos Neto Ricardo Britto Ricardo Rabelo Werney Ayala Thiago Soares Mauricio Mota Software Engineering and Industrial Informatics (EASII) Computer Science Department (DC) Federal University of Piaui (UFPI) LABoratory of Intelligent Robotics Automation and Systems (LABIRAS) State University of Piaui (UESPI)

ISBN: (纸本)9781479904532

Software Product Line (SPL) development is a new approach to software engineering that aims at the development of a whole range of products. One of the problems which hinders the adoption of that approach is related with the management of the products of the line. Additionally, the scope of a software product line is determined by the bounds of the capabilities provided by the collection of products in the product line. This introduces new challenges related to the scope problem. One of the main three different forms of scoping is the Product Portfolio Scoping (PPS). PPS aims at defining the products that should be developed as well as their key features. While this has an impact on the actual reuse opportunities, it is usually driven from marketing aspects. Defining a product portfolio by considering costumers satisfaction and cost aspects is a NP-hard problem. This work presents a hybrid approach, which combines fuzzy inference systems and the multi-objective metaheuristics NSGA-II to support product management by generating portfolios of products, based in segments of users and the development cost of the assets of the SPL. Fuzzy inference systems are used to generate development cost of an asset by using coupling, number of code lines and cyclomatic complexity and also to estimate the quality of the products generated by the optimization module of our approach. The NSGA-II metaheuristic is used to search for products minimizing the cost and maximizing the relevance of the candidate products. The results show that the proposed approach is effective in proposing the best products in terms of relevance and cost of the assets.

关键词： Portfolios Correlation Fuzzy logic Indexes Optimization Couplings Complexity theory

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Prior knowledge based fast imaging for scanning ion conductance microscopy

Prior knowledge based fast imaging for scanning ion conducta...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Peng Li Changlin Zhang Lianqing Liu Yuechao Wang Ning Xi Uchechukwu C. Wejinya Guangyong Li State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Department of Mechanical and Biomedical Engineering City University of Hong Kong Hong Kong China Department of Mechanical Engineering University of Arkansas Fayetteville AR USA Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh USA

Scanning ion conductance microscopy (SICM) has becomes prevalent especially in probing biological samples taking advantage of its non-contact, force free, high resolution imaging ability. There are at least two imaging modes of SICM-continuous mode and hopping mode. In both imaging modes, the low imaging speed is the common disadvantage that hinders the efficiency of SICM based observation. In this paper, we propose a prior knowledge based fast imaging method to mitigate this problem. The key idea is to achieve a high resolution image on targeted features by scanning the sample twice, the first scan to obtain prior knowledge on targeted features with low resolution and the second scan to obtain images on targeted features with high resolution. In the first scan, the scanning speed can be very fast because the prior knowledge can be obtained from a low resolution image that requires few scanning points. In the second scan, only the interested areas (targeted features) are scanned. Because the scanning area on targeted features is much smaller than the whole scanning region, it takes much less time to obtain high resolution images on targeted features, As a result, the total time to acquire a high resolution is much less than the conventional one scan method. To verify the effectiveness of our proposed method, we performed high-resolution imaging on polydimethylsiloxane grating and microelectrode samples using a home-made SICM. The experimental results demonstrate the increased efficiency of SICM based observation using the twice scan method.

关键词： Image resolution Microscopy computers Gratings Microelectrodes

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Scaled Minimum Unscented Multiple Hypotheses Mixing Filter

Scaled Minimum Unscented Multiple Hypotheses Mixing Filter

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American Control Conference

作者： Henrique M. Menegaz Pedro Henrique R.Q.A. Santana Jo?o Y. Ishihara Geovany A. Borges Laboratory of Robotics and Automation (LARA) at the Department of Electrical Engineering University of Brasilia Brasilia DF Brasil Computer Science and Artificial Intelligence Lab Massachusetts Institute of Technology Cambridge MA 02139 USA

ISBN: (纸本)9781479901777

This work brings two new contributions. First, it introduces the Scaled Minimum Unscented Multiple Hypotheses Mixing Filter, a novel filter for hybrid dynamical systems that 1) uses a new minimum set of sigma points along with the scaled unscented transform in a hybrid framework;2) can estimate the Markovian Transition Probability Matrix in real-time;3) features a pruning step that reduces the filter's computational effort and prevents its estimates from being degraded by very unlikely hypotheses;and 4) has a mixing step with merging depth greater than one. Second, we present a result revealing the conservativeness of one of the scaled unscented transform forms.

关键词： hybrid dynamical systems sigma points along scaled unscented transform

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Efficient imaging and real-time display of Scanning Ion Conductance Microscopy based on block compressive sensing

Efficient imaging and real-time display of Scanning Ion Cond...

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International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)

作者： Gongxin Li Peng Li Yuechao Wang Wenxue Wang Ning Xi Lianqing Liu University of Chinese Academy of Sciences China Beijing China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Department of Electrical and Computer Engineering Michigan State University Michigan USA

Scanning Ion Conductance Microscopy (SICM) is one kind of Scanning Probe Microscopies (SPMs), and it can be used in mapping topographical features of sample at high - resolution with free contact by measuring the ion current of ultra-micropipette. SICM is widely used in imaging soft samples for many distinct merits, such as high resolution imaging, simple preparation of probe and no harm to sample surface. However, it is undeniable that the scanning speed of SICM is much slower than other SPMs, especially for large scale and high resolution imaging. Fortunately, compressive sensing (CS), which breaks through the Shannon's sampling theorem for dramatically reducing sample rate, could improve scanning speed tremendously, but it still costs much time in image reconstruction. Therefore block compressive sensing was applied to SICM imaging for reducing the reconstruction time of sparse signals, and it has an anther further and unique application that it can achieve the function of image real-time display. In this paper, a new method of dividing blocks and a new matrix arithmetic operation was proposed to build the block compressive sensing model, and several experiments was taken to verified the superiority of block compressive sensing in reducing imaging time and image real-time display used SICM.

关键词： Compressed sensing Image reconstruction Sparse matrices Real-time systems Microscopy

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A fuzzy maximum power point tracker for photovoltaic systems

A fuzzy maximum power point tracker for photovoltaic systems

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IASTED International Conference on Control and Applications, CA 2012

作者： Karagiannis, Ioannis E. Groumpos, Peter P. Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras Rion 26500 Patras Greece

ISBN: (纸本)9780889869226

Global energy demand has increased enormously in recent years. Photovoltaic (PV) Systems is a promising energy source. PV characteristics are briefly outlined. A conventional Maximum Power Point Tracker (MPPT) takes into consideration the optimum performance the PV system can score in Standard Test Conditions (STC). A new Fuzzy Maximum Power Point Tracker is developed in order to achieve interaction with real environmental parameters (external conditions). To improve the system's performance, the proposed Fuzzy Logic Controller (FLC) allows the PV system to adapt to environmental conditions by taking into consideration current load, insolation, temperature, wind and possible shades covering the photovoltaic panels. Simulation results confirm the effectiveness and usefulness of the proposed new Fuzzy MPPT system.

关键词： Maximum power point trackers

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