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CHEMOTHERAPY USING LINEAR ANALYSIS AND SWARM INTELLIGENCE

IFAC Proceedings Volumes 2008年第2期41卷 5233-5238页

作者： E. Bavafa M.J. Yazdanpanah B. Kalaghchi Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Cancer Reasearch Center Cancer Institute University of Tehran Tehran Iran

In this paper, a linear analysis of Gompertz equation will be introduced. By applying the analysis and the Least Square Error (LSE) method, the estimation of nonlinear relation between the drug dosage and the initial and final number of cancer cells, after a specified treatment gap, is possible. The new method is applied in combination with swarm intelligence, to find an estimation of optimal treatment program for chemotherapy with various cost functions. The main advantage of the analysis is that it reduces the corresponding search space of the swarm.

关键词： Drug delivery Optimal control Linear systems Sum-of-squares Swarm behavior Artificial intelligence

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Real-Time Level Plant control Using Improved BELBIC

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IFAC Proceedings Volumes 2008年第2期41卷 4631-4635页

作者： M. Masoudinejad R. Khorsandi A. Fatehi C. Lucas S. Fakhimi Derakhshan M.R. Jamali Advanced Process Automation & Control (APAC) Research Group Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran Center of Excellence for Control and Intelligent Processing Electrical and Computer engineering Department University of Tehran Iran

Brain emotional learning based intelligent controller (BELBIC) is based on computational model of limbic system in the mammalian brain. In recent years, this model was applied in many linear and nonlinear control applications. Previous studies show that this controller has fast response, simple implementation and robustness with respect to disturbances. It is also possible to define emotional signal based on control application objectives. But in the previous studies, internal instability of this controller was not considered and control task were done in limited time period. In this article mathematical description of BELBIC is investigated and improved to avoid internal instability. Simulation and implementation of improved model was done on level plant. The obtained results showed that instability of model has been solved in the new model without loss of performance by using Integral Anti Windup (IAW).

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Dynamic reconfiguration for shipboard power system using multi-agent system

Dynamic reconfiguration for shipboard power system using mul...

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IEEE General Meeting Power& Energy Society

作者： James A. Momoh Yan Xia Keisha C. Alfred Center for Energy System and Control CESaC Department of Electrical and Computer Engineering Howard University College of Medicine WA USA Center for Energy System and Control CESaC Department of Electrical Engineering Howard University College of Medicine WA USA

Survivability and reliability are critical for the operation of shipboard power system both in normal and damage conditions. This paper presents a novel dynamic reconfiguration approach for shipboard power system by using multi-agent system. With the similar topology of the shipboard power system, the multi-agent system is generalized to constraint satisfaction problem (CSP). The environment- reactive rules-agents (ERA) approach, which is multi-agent oriented, is used to support the organization formation behavior in dynamic reconfiguration. The effectiveness of the proposed approach is illustrated by test results in a reduced shipboard power system.

关键词： Power system dynamics Power systems Multiagent systems Barium control systems Marine vehicles electrical engineering

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A new time delay estimation method for displacement estimation in Ultrasound Elastography

A new time delay estimation method for displacement estimati...

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International Conference on Signal Processing Proceedings (ICSP)

作者： A. Khadem S. Kamaledin Setarehdan Faculty of Electrical and Computer Engineering University of Tehran Tehran Tehran Iran University of Tehran Tehran Tehran IR Control and Intelligent Processing Center of Excellence Faculty of Electrical and Computer Engineering University of Tehran Iran

Ultrasound Elastography (UE) is a non-invasive technique to image the elasticity distribution of the soft tissues. In UE two ultrasound RF signals obtained before and after applying a compressing load on the tissue are processed for local time delay estimation (TDE) between them. To increase the accuracy of the TDE, it is necessary to use a sub-sample TDE method. In this paper a new TDE method based on the SSD-spline TDE is presented which not only directly produces continuous time delay estimates from the sampled data but also provides a higher rate of accuracy in final elastograms by compensating for the decorrelation of the post-compression RF signals due to the applied compression. Moreover, a two-stage procedure is proposed to reduce the processing time. The experimental results show the proposed algorithm outperforms the golden TDE method of ldquoSSD with cubic spline fitting sub-sample TDErdquo technique in terms of the SNRe and CNRe.

关键词： Delay estimation Delay effects Ultrasonic imaging Spline Elasticity Biological tissues Image coding Decorrelation Capacitive sensors Signal to noise ratio

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control of discrete linear repetitive processes with non-causal dynamics

Control of discrete linear repetitive processes with non-cau...

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Chinese control Conference (CCC)

作者： B. Cichy K. Galkowski E. Rogers A. Kummert Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical Information and Media Engineering University of Wuppertal Wuppertal Germany

Repetitive processes propagate information propagation in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or (often) 2D systems theory. In this paper we propose, motivated by critical features in the dynamics of some examples a model which has non-causal elements and then develop new results on the stability and control of examples which it represents.

关键词： Process control Stability analysis Heuristic algorithms Uncertainty Analytical models Electronic mail Smoothing methods

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Suboptimal control of hybrid systems using approximate multi-parametric MILP

Suboptimal control of hybrid systems using approximate multi...

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IEEE Conference on Decision and control

作者： Jalal Habibi Ali Khaki Sedigh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

As a way to reduce the on-line computational burden, explicit solution to the problem of optimal control for some classes of hybrid systems can be found by reformulating the problem as multi-parametric MILP problems. The main contribution of this paper is the introduction of an approximation algorithm for solving a general class of mp-MILP problems. The algorithm wisely selects those binary sequences which make important improvement in the objective function if considered. It is shown that considerable reduction in computational complexity could be achieved by introduction of adjustable level of suboptimality. So a family of suboptimal controllers would be obtained for which the level of error and complexity can be adjusted by a tuning parameter. Several important theoretical results about approximate solutions to the mp-MILP problem are presented. It is shown that no part of the parameter space is lost during the approximation. Also it is proved that the error in the achieved approximate solutions is monotonically increasing function of the tuning parameter. The reduced complexity achieved by the proposed approach is clarified through an illustrative example.

关键词： control systems Approximation algorithms Optimal control computational complexity Chromium Table lookup Binary sequences Error correction Predictive control Feedback

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Mean square stability analysis of sampled-data supervisory control systems

Mean square stability analysis of sampled-data supervisory c...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Arturo Tejada Heber Herencia-Zapana Oscar R. Gonzalez W. Steven Gray Department of Electrical and Computer Engineering Old Dominion University Norfolk VA USA Delft Center for Systems and Control Delft Netherlands

Testable second moment stability conditions for discrete-time supervisory control systems were recently developed using the Hybrid Jump Linear Systems (HJLSpsilas) framework. These tests are extended here to sampled-data supervisory control systems using the new sampled-data HJLS (SD-HJLS) framework. It is shown first that the p-moment stability of SD-HJLSpsilas equipped with ideal sample and hold operators is equivalent to that of their associated HJLSpsilas. Then, the second moment stability analysis tools developed for HJLSpsilas are extended to SD-HJLSpsilas. Finally, the results are illustrated through a Monte Carlo simulation of a simple example.

关键词： control systems USA Councils Conferences

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A solution to unit commitment problem using hybrid ant system/priority list method

A solution to unit commitment problem using hybrid ant syste...

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National Proceedings Power and Energy Conference (PECon)

作者： Songsak Chusanapiputt Dulyatat Nualhong Sujate Jantarang Sukumvit Phoomvuthisarn Department of Electrical Power Engineering Faculty of Engineering Mahanakom University of Technology Bangkok Thailand Electrical Engineering Department Electrical and Control System Engineering Division Electricity Generating Authority of Thailand Bangkok Thailand Department of Computer Engineering and Satellite Research Center Faculty of Engineering Mahanakom University of Technology Bangkok Thailand Center of Excellence in Electrical Power Technology Chulalongkom University Bangkok Thailand

This paper presents a new method to solve unit commitment problem with operating constraints using a hybrid ant system/priority list method (HASP). The proposed methodology employs ant system in cooperating with the priority list method to find unit commitment solution as means of mutually combining the advantages of them in that a flexibility of the priority list method is reinforced, while AS algorithm can gain the benefit of using bias information for improving its performance during search process. The simulation results show that the proposed HASP is capable of obtaining satisfactory solution within reasonable computational time.

关键词： Power engineering and energy Power generation Evolutionary computation Power system simulation Fuels Costs Power engineering control systems Systems engineering and theory Hybrid power systems

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Excess Noise control in Gaussian-modulated Coherent State Quantum Key Distribution System

Excess Noise Control in Gaussian-modulated Coherent State Qu...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Bing Qi Lei-Lei Huang Yue-Meng Chi Li Qian Hoi-Kwong Lo Center for Quantum Information and Quantum Control Department of Electrical and Computer Engineering and Department of Physics University of Toronto Toronto ONT Canada

A novel polarization-frequency-multiplexing scheme is implemented to suppress noise in a fiber-based Gaussian-modulated coherent-state quantum key distribution system. The achievable secrete key rate is 0.30 bit/pulse... 详细信息

ISBN: (纸本)9781557528599

关键词： control systems Gaussian noise Gaussian distribution Quantum computing Optical fiber polarization Optical noise Fiber lasers Laser theory Phase modulation Optical pulses

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Select Reliable Strategy in Multi-Agent Systems Using Fuzzy Logic-Based Fusion

Select Reliable Strategy in Multi-Agent Systems Using Fuzzy ...

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Asia International Conference on Modeling & Simulation

作者： Amin Ramezani Mohamad Reza Andalibizadeh Soheil Bahrampour Hamed Ramezani Behzad Moshiri PhD student School of Electrical and Computer Engineering University of Tehran Tehran Iran School of Electrical and Computer Engineering Shahid Beheshti University Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran School of ECE and the Control and Intelligent Processing Center of Excellence (CIPCE) University of Tehran Tehran Iran

In this paper we implemented a fully knowledge base approach for determine the attack/defense strategies of a team of soccer robots as a multi agent system which are playing two cooperative and non-cooperative games in a battle field simultaneously. First two teams play in non-cooperative game and find their equilibrium point and payoff then all players in a team tries reaching to this position. As there are several decision about team strategy in non-cooperative game and player strategy in cooperative game, our novel approach to use Fuzzy Integral Operators (F10) to fuse sensory information enables designer to softly change team strategy and play the most likelihood game to a real game. Selecting the shape of FIO affect directly on the team strategy and players' position and be reviewed in this paper. This approach will be imported in both, cooperative and non-cooperative game when we face to a multi- hypothesis structure. Results justified successfully the improved performance in team action.

关键词： Multiagent systems Fuzzy logic Fuzzy systems Robot sensing systems Reliability engineering Intelligent robots Game theory Asia computational modeling computer simulation

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