This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dyn...
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ISBN:
(纸本)9781467315593
This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA has better accuracy and stable convergence when approaching the optimum value. This hybrid approach preserves the strengths of BFA and SDA and thus has the capability of producing better results. Moreover, it has simple structure, hence reduced computational cost. Several unimodal and multimodal benchmark functions are employed to test the algorithm in finding the global optimum point. Furthermore, the proposed algorithm is tested in the design of PD controller for a flexible manipulator system. The results show that the HSDBC outperforms SDA and BFA in all test functions and successfully optimizes the PD controller.
Multivariable time delay processes are difficult to control due to the input-output interactions, as well as multiple time delays that complicate the controller design process. The proposed method presented in this pa...
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Multivariable time delay processes are difficult to control due to the input-output interactions, as well as multiple time delays that complicate the controller design process. The proposed method presented in this paper consists of a dynamic decoupling strategy - compared to the more general used steady state decoupling techniques - and a delay time compensation (DTC) structure in which the controller is designed based on the Extended Prediction Self Adaptive control (EPSAC) approach. The main concern regarding the proposed method is directed towards the possible lack of robustness against time delay variations - a problem that is frequently encountered in DTC structures. Moreover, the decoupling technique implemented consists in adding supplementary time delay to some input channels of the MIMO process, which may result in a worsening of the robustness problems. The simulations presented show that the proposed method can ensure robust stability and robust performance even for significant time delay variations.
Sentiment analysis refers to a broad area of natural language processing,computational linguistics and text mining.A successful sentiment analysis model based on Twitter,the popular social networking and micro bloggin...
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Sentiment analysis refers to a broad area of natural language processing,computational linguistics and text mining.A successful sentiment analysis model based on Twitter,the popular social networking and micro blogging service,could provide useful information to the Internet users due to its realtime *** instance,Twitter can be a resource for people interested in staying up on diet and *** work is a part of a project where we are developing a framework for semantic manipulation of health and nutrition *** analysis and classification are keys to the intelligent search process especially in a critical area like health and nutrition. Sentiment analysis in this paper refers to the task of classifying opinionated health and nutrition tweets as either positive or negative according to the overall sentiment expressed by the *** paper presents an experimental study of using support vector machines for sentiment analysis in the health and nutrition domain of *** results demonstrate the applicability of support vector machines to Twitter sentiment analysis and emphasize the importance of preprocessing due to the unique attributes of tweets.
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 contr...
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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 contr...
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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.
Diversity of loads, resistive and inductive, monophase and three phase, balanced and unbalanced, developed with power electronics or not, led to power quality problems at consumer level. Problems that can be resolved ...
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This paper describes an approach to optimal management of hydrogen networks in refineries, focusing on the problems of reconfiguration that appears when, due to plant failures, the production of the hydrogen generatin...
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This paper describes an approach to optimal management of hydrogen networks in refineries, focusing on the problems of reconfiguration that appears when, due to plant failures, the production of the hydrogen generating units suddenly decreases. The problem is formulated in terms of optimization as a MINLP one. Also, guidelines to the implementation of the optimum are presented with the aim of providing a practical solution to the inherent uncertainly and changing dynamics associated to the process.
Coordinated systems of multiple mobile manipulators can be much more flexible than single mobile manipulator in order to accomplish complex and changeable tasks. In this paper, sliding-mode control strategies are used...
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For a discrete-time system whose transfer matrix function is completely general (arbitrary normal rank, strictly proper/imprope/polynomial, with poles and zeroes on the unit circle) we give existence conditions and co...
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The advantage of the well-known kinematic form-finding method of tensegrity structures is its simplicity and possibility to include length constraints on structural members. The stability of the structures obtained us...
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