This work presents a new global optimization algorithm based on differential evolution (DE) method and DE combined with chaotic sequences (DEC) given by logistic map. In this paper, the optimal shape design of Loney...
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This work presents a new global optimization algorithm based on differential evolution (DE) method and DE combined with chaotic sequences (DEC) given by logistic map. In this paper, the optimal shape design of Loney's solenoids benchmark problem is carried out by DE and DEC algorithms. The results of DE and DEC approaches are also investigated and their performance compared with those reported in the literature
Recently, evolutionary algorithms (e.g. genetic algorithms, evolutionary programming, and evolution strategies) have proven to be useful tools for the optimization of difficult problems in electromagnetics. Differenti...
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Recently, evolutionary algorithms (e.g. genetic algorithms, evolutionary programming, and evolution strategies) have proven to be useful tools for the optimization of difficult problems in electromagnetics. Differential evolution (DE) is one comparatively simple variant of an evolutionary algorithm using floating-point encoding and few control parameters. This work presents improved DE algorithms based on linearly time varying control parameters, sinusoidal functions, and diversity analysis of population
An audiogram is not sufficient to indicate cochlear dead regions. Aim: To investigate cochlear dead regions in sensorineural hearing loss subjects using the TEN test. Site: CEDALVI/ HRAC-USP-Bauru/Sao Paulo/Brazil, Au...
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This paper presents a diagnosis framework based on a qualitative model of the process. Starting from a dynamic abstraction procedure under a defined operating mode a fuzzy partitioning of the variables evolution is ma...
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The Process Approach is a method to solving problems in Operations Strategy Management (OMS).This method drives the conception and development of an operationalization process of conceptualframeworks,
The Process Approach is a method to solving problems in Operations Strategy Management (OMS).This method drives the conception and development of an operationalization process of conceptualframeworks,
This paper proposes extending the CORBA (Common Object Request Broker Architecture) security model to make possible the use of mandatory policies and policy management in distributed applications. Mandatory policies a...
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This paper presents a diagnosis framework based on a qualitative model of the process. Starting from a dynamic abstraction procedure under a defined operating mode a fuzzy partitioning of the variables evolution is ma...
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This paper presents a diagnosis framework based on a qualitative model of the process. Starting from a dynamic abstraction procedure under a defined operating mode a fuzzy partitioning of the variables evolution is made, defining for each measured or observable variable a number of qualitative states. Then time Fuzzy intervals representing the moment of state change are defined. The process behaviour of the operating mode is represented by Time Fuzzy Petri nets (TFPN) model and its evolution is the consequence of events detection due to the partitioning bounds crossing. According to the membership possibility of an event to the estimated time interval and to fuzzy influence knowledge, it is possible to reason about a fault occurrence. The fuzzy data issue from the TFPN components allows evaluating the causes of the fault or failure mode. A model-based diagnosis of a hybrid system is presented.
Many works propose to use decentralized models to control and supervise physical systems. The decomposition tasks are, often, executed by an expert on the physical application. Recent works developed at LAAS-CNRS prop...
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Many works propose to use decentralized models to control and supervise physical systems. The decomposition tasks are, often, executed by an expert on the physical application. Recent works developed at LAAS-CNRS propose method to systematically decompose centralised models based on Petri nets. This method generates redundant information between the sub-modules. In some cases, these redundancies are necessary to guarantee the dependability of the system (by duplicating critical information). It can also be used by the diagnosis algorithm in order to improve the fault isolation (by pointing out the relation between sub-models) and to reduce the maintenance costs (by reducing the number of sub-models that must be modified to update the system). However, the duplication of information introduce extra costs that can be observed by the complexity of keeping the data coherence and by the surcharge of the communication network coming from the data exchange between interdependent sub-models. This paper presents a set of indicators that can be used by the designer's team to evaluate the consequences of redundant information introduction and to help them to decide the most appropriated configuration of the system
The classical approaches to teach the control systems present drawbacks, such as: (i) the general overview of the problem is sometimes underemphasized by the knowledge acquisition; (ii) they mainly use the academic ex...
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The classical approaches to teach the control systems present drawbacks, such as: (i) the general overview of the problem is sometimes underemphasized by the knowledge acquisition; (ii) they mainly use the academic examples that are only dealing with simple concepts and problems; (iii) laboratory experiments are either simple or under developed. Design aspects of control systems when applied to practical processes are important to improve the knowledge of the students and to motivate the utilization of modern methodologies as an emergent technology for the applications in industry. In this work, we point out some important aspects for conceiving a new educational product. We describe our experiences in creating a didactic environment for teaching and learning the control theories in engineering courses based on CACSD (computer aided control system design) and its extension to the research field of industrial problems. Two distinct proposals arise from these experiences for reducing the gap between the theoretical and practical classes, and for teaching the control systems development cycle using mathematical tools and real plants under the virtual instrumentation concept.
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