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A novel hybrid spiral-dynamics bacterial-foraging algorithm for global optimization with application to control design

A novel hybrid spiral-dynamics bacterial-foraging algorithm ...

引用

UK Workshop on Computational Intelligence (UKCI)

作者： A. N. K. Nasir M. O. Tokhi N. M. Abd Ghani M. A. Ahmad Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK Faculty of Electrical & Electronics Engineering Universiti Malaysia Pahang (UMP) Pekan Pahang Malaysia

This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial foraging (HSDBF). The algorithm synergizes spiral adaptive simplified bacterial foraging algorithm (BFA) and spiral dynamics inspired optimization algorithm (SDA). The standard BFA has better exploitation strategy while SDA has superior exploration approach and stable convergence when approaching the optimum value. The hybrid algorithm preserves the strengths of BFA and SDA, thus producing better results. Moreover, it has simple structure and involves less computational burden. Several unimodal and multimodal benchmark functions are employed to test the algorithm in determining the global optimum point. Furthermore, the proposed method is applied to a proportional-derivative (PD) controller optimization for a flexible manipulator system (FMS). The results show that HSDBF outperforms BFA in all test functions and successfully optimizes the PD controller.

关键词： Microorganisms Heuristic algorithms Spirals Optimization Convergence Manipulators Trajectory

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Timefrequency data fusion technique with application to vibration signal analysis

Timefrequency data fusion technique with application to vibr...

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作者： Peng, Z.K. Zhang, W.M. Lang, Z.Q. Meng, G. Chu, F.L. State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai 200240 China Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Department of Precision Instruments Tsinghua University Beijing 100084 China

To overcome the inherent deficiencies of conventional timefrequency analysis (TFA) methods, i.e., different TFA methods or the same TFA method with different control parameters will present different results for the same target signal, a novel scheme named as the timefrequency data fusion (TFDF) is developed in this study by extending the idea of data fusion technique. By combining the results produced by two or more different TFA methods, the TFDF technique can present a more accurate timefrequency presentation for the target signal than what can be achieved by any individual TFA method. Therefore, the TFDF has potential to render a significantly improved timefrequency representation and greatly facilitates extracting timefrequency features of target signals. This will promote the applications of TFA in engineering practices and make TFA methods more acceptable to field engineers. The effectiveness of the TFDF technique is validated by three numerical case studies and the analysis of a rubbing-impact signal collected from a rotor test rig. © 2011 Elsevier Ltd. All rights reserved.

关键词： Wavelet transforms

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Novel adaptive spiral dynamics algorithms for global optimization

Novel adaptive spiral dynamics algorithms for global optimiz...

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IEEE International Conference on Cybernetic Intelligent systems, CIS

作者： A. N. K. Nasir M. O. Tokhi N. M. Abd Ghani R. M. T. Raja Ismail Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK Faculty of Electrical & Electronics Engineering Universiti Malaysia Pahang (UMP) Pekan Pahang Malaysia

This paper presents adaptive versions of spiral dynamics algorithm (SDA) referred to as adaptive SDA (ASDA). SDA is known as fast computing algorithm due to its simplicity in the structure and it has stable convergence response when approaching the optimum point in the search space. However, the performance of SDA is still poor due to incorporation of single radius value during the whole search process. In ASDA, the spiral radius is made dynamic by employing novel mathematical equations and incorporating non-mathematical fuzzy logic strategy establishing the relationship between fitness value and spiral radius. This results in better performance in terms of convergence speed, accuracy, and total computing time while retaining the simple structure of SDA. Several uni-modal and multi-modal benchmark functions are employed to test the algorithm in finding the global optimum point. The results show that ASDA outperforms SDA in all test functions considered.

关键词： Spirals Heuristic algorithms Equations Convergence Optimization Fuzzy logic Mathematical model

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A probabilistic framework for security constrained reserve scheduling of networks with wind power generation

A probabilistic framework for security constrained reserve s...

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IEEE International Energy Conference and Exhibition (EnergyCon)

作者： Maria Vrakopoulou Kostas Margellos John Lygeros Göran Andersson Power Systems Laboratory Department of Electrical Engineering ETH Zürich Zurich Switzerland Automatic Control Laboratory Department of Electrical Engineering ETH Zürich Zurich Switzerland

This paper proposes a novel probabilistic framework to design an N-1 secure day-ahead dispatch, while determining the minimum cost reserves for power systems with high wind penetration. To achieve this, we build on previous work, and formulate a stochastic optimization program with chance constraints, which encode the probability of satisfying the transmission capacity constraints of the lines. To incorporate then a reserve decision scheme, we take into account the steady state behavior of the secondary frequency controller, and hence consider the reserves to be a linear function of the total generation-load mismatch. The overall problem results in a chance constrained bilinear program; to achieve tractability, two alternative convex reformulations are proposed, and the so called scenario approach is employed. This approach is based on sampling the uncertain parameter (in this paper the wind power) while keeping the desired probabilistic guarantees. To illustrate the effectiveness of the proposed technique we apply it to the IEEE 30-bus network, and compare the alternative reformulations in terms of cost and performance by means of Monte Carlo simulations, corresponding to different wind power realizations generated by a Markov chain based model.

关键词： Wind power generation Generators Vectors Probabilistic logic Security Optimization Frequency control

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Experimental verification of constrained iterative learning control using successive projection

Experimental verification of constrained iterative learning ...

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2012 UKACC International Conference on control, control 2012

作者： Chu, Bing Cai, Zhonglun Owens, David H. Rogers, Eric Freeman, Chris T. Lewin, Paul L. Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom Faculty of Engineering and the Environment University of Southampton Southampton SO17 1BJ United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD United Kingdom Italian Institute of Technology Via Morego 30 16163-Genova Italy

ISBN: (纸本)9781467315609

In many practical applications, constraints are often present on, for example, the magnitudes of the control inputs. Recently, based on a novel successive projection framework, two constrained iterative learning control (ILC) algorithms were developed with different convergence properties and computational requirements. This paper investigates the effectiveness of these two methods experimentally on a gantry robot facility, which has been extensively used to test a wide range of linear model based ILC algorithms. The results obtained demonstrate the effectiveness of the algorithms in solving one form of the general constrained ILC problem. © 2012 IEEE.

关键词： Iterative methods

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Detection of run-out of electrical machine/generator slip-rings using vibration measurements and nonlinear frequency analysis

Detection of run-out of electrical machine/generator slip-ri...

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9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2012, CM 2012 and MFPT 2012

作者： Bayma, R.S. Lang, Z.Q. Cebulski, L. Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Mersen France Amiens S. A. S. 10 Avenue Roger Dumoulin F-80084 Amiens Cedex 02 France

ISBN: (纸本)9781622764334

Slip-rings are the components used for transferring electrical energy between static and rotating parts in electrical machines/generators. The run-out that often arises on slip-rings' surface is caused by the constant contact between slip-rings and brushes which supply power to the rotor of electrical machines/generators. This imperfection can compromise the optimal performance of the whole system. In this paper we present a methodology for monitoring such defective profiles on the slip-ring surface based on vibration measurements and nonlinear frequency analysis. The approach involves using a nonlinear frequency domain model to describe the relationship between the slip-ring defective profile and the vibration measurement on the brush and numerically solving these equations to reconstruct the slip-ring surface profile. Simulation studies based on a Duffing oscillator suggest the approach is valid and can be implemented for real time monitoring.

关键词： Frequency domain analysis

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Configurable cooperative middleware for the next generation of CPS

Configurable cooperative middleware for the next generation ...

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2012 9th International Conference on Remote engineering and Virtual Instrumentation, REV 2012

作者： Etxeberria-Agiriano, Ismael Calvo, Isidro Noguero, Adrian Zulueta, Ekaitz E.U.I. de Vitoria-Gasteiz Vitoria-Gasteiz Spain E.U.I. de Vitoria-Gasteiz Vitoria-Gasteiz Spain Tecnalia Software Systems Engineering Zamudio Bizkaia Spain University College of Engineering of Vitoria-Gasteiz Department of Computer Languages and Systems University of Basque Country Spain University College of Engineering of Vitoria-Gasteiz Department of Control Engineering University of the Basque Country Spain

ISBN: (纸本)9781467325424

Cyber-Physical systems (CPS) form an emerging discipline that integrates embedded computers with the physical processes under control. Typically, Cyber-Physical applications include low profile computing components, such as sensors and actuators that must communicate to carry out complex tasks. They may be found in different applications domains e.g. intelligent buildings, industrial automation or critical infrastructure control. This kind of applications requires certain features such as autonomy, fault tolerance, energy efficiency or solving heterogeneity and configurability issues. However, managing the communication issues in this kind of applications can be relatively complex. In this scenario, middleware technologies can help developers in the design of the next generation of CPS. This work describes the design principles of a type of CPS that requires cooperation. More specifically, it presents a generic family of logical cooperation topologies capable of adapting dynamically to changes in the environment. © 2012 IEEE.

关键词： Middleware

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CPRL - An Extension of Compressive Sensing to the Phase Retrieval Problem 12

CPRL - An Extension of Compressive Sensing to the Phase Retr...

引用

Annual Conference on Neural Information Processing systems

作者： Henrik Ohlsson Allen Y. Yang Roy Dong S. Shankar Sastry Division of Automatic Control Department of Electrical Engineering Linkoping University Sweden Department of Electrical Engineering and Computer Sciences University of California at Berkeley CA USA Department of Electrical Engineering and Computer Sciences University of California at Berkeley CA USA

ISBN: (纸本)9781627480031

While compressive sensing (CS) has been one of the most vibrant research fields in the past few years, most development only applies to linear models. This limits its application in many areas where CS could make a difference. This paper presents a novel extension of CS to the phase retrieval problem, where intensity measurements of a linear system are used to recover a complex sparse signal. We propose a novel solution using a lifting technique - CPRL, which relaxes the NP-hard problem to a nonsmooth semidefinite program. Our analysis shows that CPRL inherits many desirable properties from CS, such as guarantees for exact recovery. We further provide scalable numerical solvers to accelerate its implementation.

关键词： Compressed sensing CONTAINMENT SPRAY carbon monosulfide Cesium Nondeterministic polynomial-time hard conditioned stimulus retrieval Linear system program area

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An embedded co-AdaBoost and its application in classification of software document relation

An embedded co-AdaBoost and its application in classificatio...

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2012 8th International Conference on Semantics, Knowledge and Grids, SKG 2012

作者： Liu, Jin Li, Juan Xie, Yuan Lei, Jeff Hu, Qiping State Key Lab. of Software Engineering Computer School Wuhan University China State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation CAS China Department of Computer Science and Engineering University of Texas Arlington TX United States International School of Software Wuhan University China

ISBN: (纸本)9780769547947

To enhance classification performance by making use of easily available unlabelled data to overcome the scarcity of labelled data, this paper proposes an Embedded Co-Adaboost algorithm that integrates multi-view learning into the Adaboost learning framework and at the same time leverages the advantages of Co-training algorithm for performance enhancement. Experimental results demonstrate the effectiveness of the proposed algorithm in terms of the convergence rate, the accuracy, and the steady performance as compared to the original AdaBoost algorithm, without relying on redundant and sufficient feature sets. As a algorithm application in software engineering, the Embedded Co-AdaBoost has been applied to the classification of software document relations to improve the quality of the architecture design documents and the reusability of design knowledge. © 2012 IEEE.

关键词： Reusability

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Multiobjective cooperative spectrum sensing in cognitive radio using cat swarm optimization

Multiobjective cooperative spectrum sensing in cognitive rad...

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Conference on Wireless Advanced (WiAD)

作者： Pyari Mohan Pradhan Ganapati Panda Babita Majhi School of Electrical Sciences Indian Institute of Technology Bhubaneswar Bhubaneswar India Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Cognitive radio has emerged as a potential solution to the problem of spectrum scarcity. Cooperative spectrum sensing exploits the spatial diversity between cognitive radios for reliable detection of primary users' signals. The selection of weight and decision threshold for each cognitive radio can be formulated as a constrained multiobjective optimization problem where probabilities of false alarm and detection are the two conflicting objectives. This paper uses multiobjective cat swarm optimization in the field of cooperative spectrum sensing. The simulation results show that our proposed approach performs better in terms of efficient computation and quality of nondom-inating solutions.

关键词： Sensors Measurement Noise Cognitive radio Optimization Wireless sensor networks

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