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作者： McKernan, Adrian D. Irwin, George W. Intelligent Systems and Control group School of Electronics Electrical Engineering and Computer Science Queens University Belfast United Kingdom

ISBN: (纸本)9781424474264

Communications load in a wireless channel can saturate the network when the wireless link between stations is weak. This paper shows that, by using a state-differential event based sampling scheme with QoS, this load can be reduced such that a control loop closed over that network can remain stable for much worse wireless channel conditions. By varying the event threshold, systems with high state variance will have higher sampling rates than those without, while the overall throughput of the system is reduced to a level which does not saturate the network. © 2010 AACC.

关键词： Wireless networks

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Conceptual hierarchical clustering of documents using Wikipedia knowledge

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25th International Symposium on computer and Information Sciences, ISCIS 2010

作者： Spanakis, Gerasimos Siolas, Georgios Stafylopatis, Andreas Intelligent Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens 15780 Zografou Athens Greece

ISBN: (纸本)9789048197934

In this paper, we propose a novel method for conceptual hierarchical clustering of documents using knowledge extracted from Wikipedia. A robust and compact document representation is built in real-time using the Wikipedia API. The clustering process is hierarchical and creates cluster labels which are descriptive and important for the examined corpus. Experiments show that the proposed technique greatly improves over the baseline approach. © 2011 Springer Science+Business Media B.V.

关键词： Clustering algorithms

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On iterative learning control design for tracking iteration-varying trajectories with high-order internal model

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控制理论与应用（英文版） 2010年第3期8卷 309-316页

作者： Chenkun YIN Jianxin XU Zhongsheng HOU Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China

In this paper, iterative learning control （ILC） design is studied for an iteration-varying tracking problem in which reference trajectories are generated by high-order internal models （HOLM）. An HOlM formulated as a polynomial operator between consecutive iterations describes the changes of desired trajectories in the iteration domain and makes the iterative learning problem become iteration varying. The classical ILC for tracking iteration-invariant reference trajectories, on the other hand, is a special case of HOlM where the polynomial renders to a unity coefficient or a special first-order internal model. By inserting the HOlM into P-type ILC, the tracking performance along the iteration axis is investigated for a class of continuous-time nonlinear systems. Time-weighted norm method is utilized to guarantee validity of proposed algorithm in a sense of data-driven control.

关键词： ILC High-order intemal model Iteration-varying Nonlinear systems Continuous-time

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Imitating personalized expressions in an avatar through machine learning

Imitating personalized expressions in an avatar through mach...

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作者： Puklavage, Cassondra Pirela, Alexander Gonzalez, Avelino J. Georgiopoulos, Michael Intelligent Systems Laboratory School of Electrical Engineering and Computer Science University of Central Florida Orlando FL 32816-2362 United States

ISBN: (纸本)9781577354475

This paper describes a method for automatically reproducing personalized facial expressions in a computergenerated avatar and a proof-of-concept test is implemented to evaluate the preliminary viability of the method. The method employed is a combination of an expression recognition system derived from the Facial Action Coding System, mapped by a Particle Swarm Optimization algorithm onto a computerized facial rig with 'musculature' based on the Facial Action Coding System. This approach is analyzed in depth, and an initial test of the algorithm is implemented and tested with promising initial results. Copyright © 2010, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Learning systems

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Constrained optimization using artificial immune system

Constrained optimization using artificial immune system

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Congress on Evolutionary Computation

作者： Kumlachew M. Woldemariam Gary G. Yen Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA

This research exploits the fact embedded in immune system to communicate between innate immune response and adaptive immune response levels. We first sort infeasible antibodies based on their constraint violation values and feasible antibodies based on their objective function values. The next processes assesses in what directions individuals with high affinities should move to improve their objective function values and reduce constraint violations. This information is used to estimate the mutation direction to infeasible antibodies. This approach is validated and tested using benchmark functions used in related researches and the results obtained are compared with studies made in similar area. The performance acquired is competitive and in some cases even better than those of state-of-the-art. The algorithm is also designed to obtain feasible solutions in every run executed.

关键词： Vaccines Optimization Algorithm design and analysis Artificial immune systems Cloning Equations

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Bio-inspired micro air vehicle: Design and control issues

Bio-inspired micro air vehicle: Design and control issues

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作者： Ratti, Jayant Goel, Rohan Kim, Seong-Joo Moon, Jung-Ho Pappas, Thomas D. Vachtsevanos, George Roemer, Mike Georgia Institute of Technology Atlanta GA 30332 United States Impact Technologies LLC Rochester NY 14623 United States School of Electrical and Computer Engineering United States Kangnung National University Korea Republic of Intelligent Control Systems Laboratory United States

ISBN: (纸本)9781600867439

Missions envisioned for Micro Air Vehicles (MAVs) such as Intelligence, Surveillance and Reconnaissance (ISR) in urban environments require exceptional agility. These missions typically involve flight through or in close proximity to buildings, tunnels and trees, and require the MAVs to maneuver using sharp dives and climbs along with small-radius turns. The small size of MAVs allows such flight operations within confined space but the control effectors must provide sufficient maneuverability, while maintaining stability, with only limited sensing capability onboard the platform. To meet these challenges, researchers have long been attracted by the amazing attributes of biological systems, such as those exhibited by birds and insects. Birds can fly in dense flocks, executing rapid maneuvers with g-loads far in excess of modern fighter aircrafts, and yet never collide with each other, despite the absence of air traffic controllers. This paper introduces a novel framework for the design and control of a Micro Air Vehicle. The vehicle's conceptual design is based on biologically-inspired principles and emulates a dragonfly (Odonata-Anisoptera). The author is borrowing flight mechanism features from the dragonfly and merging them with indigenous designs in creating a novel version of a Flapping Wing MAV, called the QV. The QV design incorporates the simplicity of mechanical construction and the complexity of a sophisticated multi-layered Hybrid & Linear / Non-Linear controller to achieve extended flight times and improved agility compared to other Rotary and Flapping Wing MAV designs. The paper talks about the design and control features of the proposed QV design and gives an overview on the developmental efforts been made towards the prototyping of the QV flyer. The potential applications for such a high endurance vehicle are numerous, including air-deployable mass surveillance in cluster and swarm formations. The disposability of the vehicle would help in battle-field

关键词： Birds

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Adaptive and impulsive cluster synchronization of a general complex dynamical network

Adaptive and impulsive cluster synchronization of a general ...

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2010 International Conference on Networking, Sensing and control, ICNSC 2010

作者： Shi, Bingxiong Lu, Junan Lü, Jinhu Yu, Xinghuo College of Mathematics and Statistics State Key Lab. of Software Engineering Wuhan University Wuhan 430072 China Key Laboratory of Systems and Control Institute of Systems Science Chinese Academy of Sciences Beijing 100190 China School of Electrical and Computer Engineering RMIT University Melbourne 3000 Australia School of Electrical and Computer Engineering RMIT University Melbourne VIC 3001 Australia

ISBN: (纸本)9781424464531

Recently, cluster synchronization has attracted an increasing interest in various disciplines, includingmathematics, physics, and engineering sciences. This paper further investigates the cluster synchronization of a complex dynamical network by using adaptive and impulsive control techniques, respectively. Based on a complex dynamical network with two different clusters, several adaptive and impulsive cluster synchronization criteria are then proposed. It should be especially pointed out that the dynamics and its dimensions of the individual dynamical systems are different in the two different clusters. Also, some numerical simulations are given to verify the effectiveness of the above theoretical results. ©2010 IEEE.

关键词： Dynamical systems

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Robust stability analysis of stochastic genetic regulatory networks with discrete and distributed delay in both mRNA and protein dynamics

Robust stability analysis of stochastic genetic regulatory n...

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IEEE Conference on Cybernetics and intelligent systems

作者： Alireza Salimpour Mahdi Sojoodi Vahid Johari Majd Intelligent Control Systems Laboratory School of Electrical Engineering Tarbiat Moalem University Tehran Iran

ISBN: (纸本)9781424464999;9781424465026

This paper addresses robust stability of genetic regulatory networks (GRNs) with stochastic perturbation and discrete and distributed time-varying delays. Aside from discrete delays, there are few results about stability of GRNs with distributed delay. In this paper, noise perturbation and delays have been considered in both mRNA and protein dynamics. Based on Lyapunov functional approach and linear matrix inequality (LMI) techniques, sufficient conditions are established to guarantee the robust stability of genetic regulatory networks. Stability conditions are derived in the form of LMIs, which are very easy to be verified. An example is presented to verify the theoretical results.

关键词： Robust stability Stochastic processes Genetics Proteins Biological system modeling Delay effects Stochastic resonance Working environment noise Stochastic systems Differential equations

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A technical approach to H2 and H∞ control of a flexible transmission system

A technical approach to H2 and H∞ control of a flexible tra...

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IEEE Conference on Robotics, Automation and Mechatronics

作者： Mahdi Sojoodi Vahid Johari Majd Intelligent Control Systems Laboratory School of Electrical Engineering Tarbiat Moalem University Tehran Iran

ISBN: (纸本)9781424465033;9781424465064

In this paper, continuous-time H 2 and H ∞ control techniques for a flexible transmission system are presented. This system has two very oscillatory vibration modes subjected to large load variation, which makes the control of it be difficult. A set of design specification in time domain is to be met by a single controller on each of the three main plant models. Furthermore, the tracking problem in the presence of disturbance and load variation is investigated. Finally, the simulation results for H 2 and H ∞ controllers for three different loadings are given and compared. The simulation results show the good performance of the proposed controllers.

关键词： Hydrogen control systems Robust control Pulleys DC motors Load management control system synthesis Frequency Aerospace control Robust stability

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Probabilistic uncertainty description for an etfe estimated plant using a sequence of multi-sinusoidal signals

Probabilistic uncertainty description for an etfe estimated ...

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作者： Steenis, Richard Rivera, Daniel E. School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85287-5706 United States Control Systems Engineering Laboratory School of Mechanical Aerospace Chemical and Materials Engineering Arizona State University Tempe AZ 85287-6106 United States

ISBN: (纸本)9781424474264

This paper generalizes a probabilistic frequency-domain uncertainty description for an Empirical Transfer Function Estimate (ETFE) model developed by Bayard by using an input signal that is composed of a sequence of distinct multi-sinusoidal signals, instead of a single fixed multi-sinusoidal signal. Each signal in the sequence may have different sinusoidal amplitudes, number of signal periods, and fundamental frequency. The corresponding aggregate ETFE plant estimate for the sequence of multi-sinusoidal signals is developed as well. Besides their usefulness for robust control design, the plant and uncertainty expressions enable the use of adaptive algorithms for input signal adjustment during experimental testing in system identification. The use of adaptive signal algorithms also allows the opportunity to improve plant estimates, shape the probabilistic uncertainty description, and reduce input signal duration based on information learned during identification testing. A series of illustrative examples are included to show the relationship between the properties of the multi-sinusoidal signals in the input sequence and the plant uncertainty description. © 2010 AACC.

关键词： Robust control

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