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Extended PD+I fuzzy logic controllers with self-tuning capability

Extended PD+I fuzzy logic controllers with self-tuning capab...

引用

34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008

作者： Teng, F.C. Lotfi, A. Tsoi, A.C. Department of Electrical and Computer Engineering Polytechnic University of Puerto Rico Avenue Ponce De Leon San Juan 00918 Puerto Rico School of Computing and Informatics Nottingham Trent University Burton Street Nottingham NG1 4BU United Kingdom Hong Kong Baptist University Kowloon Tong Kowloon Hong Kong

ISBN: (纸本)9781424417667

In this paper, we propose two controllers which extend the original PD+I fuzzy logic controller to treat the plant with time varying nonlinear dynamics. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I-31) is obtained by adjusting the output scaling factor automatically thereby contributing to significant improvement in performance. Second proposed controller (STPD+I-9) is the simplified version of STPD+I-31 which is designed under the imposed constraint that allows only minimum number of rules in the rule bases. The proposed controllers are compared with two classical nonlinear controllers: the pole placement self tuning PID controller and sliding mode controller. All the controllers are applied to the two-links revolute robot for the tracking control. The tracking performance of STPD+I-31 and STPD+I-9 are much better than the pole placement self tuning PID controller during high speed operations while the performance are comparable at low and medium speed. In addition, STPD+I-31 and STPD+I-9 outperform sliding mode controller under same method of comparison study. © 2008 IEEE.

关键词： Controllers

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Understanding and characterizing insights: How do people gain insights using information visualization?

Understanding and characterizing insights: How do people gai...

引用

2008 Conference on BEyond Time and Errors: Novel EvaLuation Methods for Information Visualization 2008, BELIV'08

作者： Yi, Ji Soo Stasko, Youn-Ah Kang John T. Jacko, Julie A. H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology 313 Ferst Drive Atlanta GA 30339 United States School of Interactive Computing GVU Center Georgia Institute of Technology 85 5th St NW Atlanta GA 30332 United States Institute for Health Informatics University of Minnesota 308 Harvard Street SE Minneapolis MN 55455 United States

ISBN: (纸本)9781605580166

Even though "providing insight" has been considered one of the main purposes of information visualization (InfoVis), we feel that insight is still a not-well-understood concept in this context. Inspired by research in sensemaking, we realized the importance of the procedural aspects in understanding insight. Thus, rather than asking "What is insight?" we instead focus on "How do people gain insights?" In an effort to better understand and characterize insight, we reviewed previous literature in InfoVis, seeking other researchers' comments and views on this concept. We found that: 1) Insights are often regarded as end results of using InfoVis and the procedures to gain insight have been largely veiled;2) Four largely distinctive processes of gaining insight (Provide Overview, Adjust, Detect Pattern, and Match Mental Model) have been discussed in the InfoVis literature;and 3) These different processes provide some hints to understand the procedures in which insight can be gained from InfoVis. We hope that our findings help researchers and practitioners evaluate InfoVis systems and technologies in a more insight-oriented way. Copyright 2008 ACM.

关键词： Visualization

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Towards the evolution of an artificial homeostatic system

Towards the evolution of an artificial homeostatic system

引用

Congress on Evolutionary Computation

作者： Renan C. Moioli Patricia A. Vargas Fernando J. Von Zuben Phil Husbands Laboratory of Bioinformatics and Bio-Inspired Computing LBiC-School of Electrical and Computer Engineering Sao Paulo Brazil Centre for Computational Neuroscience and Robotics (CCNR) Department of Informatics University of Sussex Brighton UK

This paper presents an artificial homeostatic system (AHS) devoted to the autonomous navigation of mobile robots, with emphasis on neuro-endocrine interactions. The AHS is composed of two modules, each one associated with a particular reactive task and both implemented using an extended version of the GasNet neural model, denoted spatially unconstrained GasNet model or simply non-spatial GasNet (NSGasNet). There is a coordination system, which is responsible for the specific role of each NSGasNet at a given operational condition. The switching among the NSGasNets is implemented as an artificial endocrine system (AES), which is based on a system of coupled nonlinear difference equations. The NSGasNets are synthesized by means of an evolutionary algorithm. The obtained neuro-endocrine controller is adopted in simulated and real benchmark applications, and the additional flexibility provided by the use of NSGasNet, together with the existence of an automatic coordination system, guides to convincing levels of performance.

关键词： Biochemistry Robots Neurons Sensors Distance measurement Robot sensing systems Robot kinematics

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Integrating fingerprint with cryptosystem for internet-based live pay-TV system

Integrating fingerprint with cryptosystem for internet-based...

引用

International Conference on Communications and Networking in China (CHINACOM)

作者： Shuhui Hou Tetsutaro Uehara Takashi Satoh Yoshitaka Morimura Michihiko Minoh Department of Intelligence Science and Technology Graduate School of Informatics Kyoto University Japan Acdemic Center for Computing and Media Studies Kyoto University Japan Department of Information and Media Engineering Faculty of Enviromental Engineering University of Kitakyushu Japan

In the last few years, live pay-TV system via Internet has come to be established with the development of broadband network. To develop such a system, a mechanism for content protection is required. In this paper, a new architecture integrating fingerprint with cryptosystem is proposed to protect contents from unauthorized access and illegal redistribution. We describe a scheme integrating anti-collusion code and home page public-key cryptosystem. The proposed scheme is shown feasible and realistic for implementing with respect to computation/communication cost.

关键词： Fingerprint recognition Internet Protection Data security Multimedia systems Public key cryptography IP networks Computational efficiency Broadcasting Intelligent networks

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Extended PD+I fuzzy logic controllers with self-tuning capability

Extended PD+I fuzzy logic controllers with self-tuning capab...

引用

Annual Conference of Industrial Electronics Society

作者： F. C. Teng A. Lotfi A. C. Tsoi Department of Electrical & Computer Engineering Polytechnic University of Puerto Rico San Juan Puerto Rico School of Computing & Informatics Nottingham Trent University Nottingham UK Hong Kong Baptist University Hong Kong China

In this paper, we propose two controllers which extend the original PD+I fuzzy logic controller to treat the plant with time varying nonlinear dynamics. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is obtained by adjusting the output scaling factor automatically thereby contributing to significant improvement in performance. Second proposed controller (STPD+I_9) is the simplified version of STPD+I_31 which is designed under the imposed constraint that allows only minimum number of rules in the rule bases. The proposed controllers are compared with two classical nonlinear controllers: the pole placement self tuning PID controller and sliding mode controller. All the controllers are applied to the two-links revolute robot for the tracking control. The tracking performance of STPD+I_31 and STPD+I_9 are much better than the pole placement self tuning PID controller during high speed operations while the performance are comparable at low and medium speed. In addition, STPD+I_31 and STPD+I_9 outperform sliding mode controller under same method of comparison study.

关键词： Fuzzy logic Sliding mode control Automatic control Tuning Robots Fuzzy control State feedback Three-term control PD control Adaptive control

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Energy-efficient TDMA MAC protocol for wireless sensor networks applications

Energy-efficient TDMA MAC protocol for wireless sensor netwo...

引用

International Conference on Computer and Information Technology (ICCIT)

作者： G. M. Shafiullah Adam Thompson Peter J. Wolfs Shawkat Ali Centre for Railway Engineering Faculty of Sciences Engineering &Health Central Queensland University Rockhampton QLD Australia College of Engineering & Built Environment Faculty of Sciences Engineering & Health Central Queensland University Rockhampton QLD Australia School of Computing Sciences Faculty of Business & Informatics Central Queensland University Rockhampton QLD Australia

The availability of low-powered and cheap microprocessors, radio frequency integrated circuits and the development of new wireless communication techniques, make the wireless sensor networks (WSN) one of todays most promising technologies. Minimizing energy consumption and maximizing the lifetime of the networks are key requirements in the design of sensor network applications. Optimally designed medium access control (MAC) and routing protocols minimize energy consumption and prolong the network life. In this study, we have investigated an energy-efficient adaptive TDMA (EA-TDMA) protocol for railway applications that used in communication between sensor nodes and the cluster-head (CH) placed in a railway wagon. This protocol is suitable for medium traffic applications and reduces energy consumption by shortening the idle period when devices have no data to transmit. We have developed an analytical model for EA-TDMA and compared its performance with conventional TDMA and bit-map-assisted (BMA) protocols.

关键词： Energy efficiency Time division multiple access Media Access Protocol Wireless application protocol Wireless sensor networks Energy consumption Access protocols Rail transportation Microprocessors Radiofrequency integrated circuits

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Reduction of power consumption in sensor network applications using machine learning techniques

Reduction of power consumption in sensor network application...

引用

IEEE Region 10 International Conference TENCON

作者： G.M. Shafiullah Adam Thompson Peter J. Wolfs Shawkat Ali Centre for Railway Engineering Faculty of SciencesEngineering & Health Central Queensland University Rockhampton QLD Australia College of Engineering & Built Environment Faculty of SciencesEngineering & Health Central Queensland University Rockhampton QLD Australia School of Computing Sciences Faculty of Business & Informatics Central Queensland University Rockhampton QLD Australia

Wireless sensor networking (WSN) and modern machine learning techniques have encouraged interest in the development of vehicle monitoring systems that ensure safe and secure operations of the rail vehicle. To make an energy-efficient WSN application, power consumption due to raw data collection and pre-processing needs to be kept to a minimum level. In this paper, an energy-efficient data acquisition method has investigated for WSN applications using modern machine learning techniques. In an existing system, four sensor nodes were placed in each railway wagon to collect data to develop a monitoring system for railways. In this system, three sensor nodes were placed in each wagon to collect the same data using popular regression algorithms, which reduces power consumption of the system. This study was conducted using six different regression algorithms with five different datasets. Finally the best suitable algorithm have suggested based on the performance metrics of the algorithms that include: correlation coefficient, root mean square error (RMSE), mean absolute error (MAE), root relative squared error (RRSE), relative absolute error (RAE) and computation complexity.

关键词： Energy consumption Machine learning Wireless sensor networks Sensor systems Vehicle safety Energy efficiency Rail transportation Communication system security Condition monitoring Data acquisition

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An extensible query language for content based image retrieval based on Lucene

An extensible query language for content based image retriev...

引用

International Conference on Computer and Information Technology (CIT)

作者： Raoul Pascal Pein Joan Lu Renz Wolfgang Multimedia Systems Laboratory (MMLab) Faculty of Engineering and Computer Science University of Applied Sciences Hamburg Germany Department of Informatics School of Computing and Engineering University of Huddersfield Huddersfield UK Multimedia Systems Laboratory (MMLab) Faculty of Engineering and Computer Science Hamburg University of Applied Sciences Berliner Tor 7 20099 Germany

One of the most important bits of every search engine is the query interface. Complex interfaces may cause users to struggle in learning the handling. An example is the query language SQL. It is really powerful, but usually remains hidden to the common user. On the other hand the usage of current languages for Internet search engines is very simple and straightforward. Even beginners are able to find relevant documents. This paper presents a hybrid query language suitable for both image and text retrieval. It is very similar to those of a full text search engine but also includes some extensions required for content based image retrieval. The language is extensible to cover arbitrary feature vectors and handle fuzzy queries.

关键词： Plugs Database languages Image retrieval Engines Feature extraction Search engines Histograms

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On the scalability of particle swarm optimisation

On the scalability of particle swarm optimisation

引用

Congress on Evolutionary Computation

作者： Sebastien Piccand Michael O'Neill Jacqueline Walker Department of Computer Science ' Information Systems University of Limerick Limerick Ireland Natural Computing Research ' Applications group School of Computer Science ' Informatics University College Dublin Dublin Ireland Department of Electronic and Computer Engineering University of Limerick Limerick Ireland

Particle swarm has proven to be competitive to other evolutionary algorithms in the field of optimization, and in many cases enables a faster convergence to the ideal solution. However, like any optimization algorithm it seems to have difficulties handling optimization problems of high dimension. Here we first show that dimensionality is really a problem for the classical particle swarm algorithms. We then show that increasing the swarm size can be necessary to handle problem of high dimensions but is not enough. We also show that the issue of scalability occurs more quickly on some functions.

关键词： Benchmark testing Topology Particle swarm optimization Scalability Evolutionary computation Optimization Convergence

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Thoughtful interaction design

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2007年

作者： Jonas L?wgren and Erik Stolterman

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