In this paper, a novel general-event-based impulsive transition matrix (GITM) is constructed, which can reveal the probability distribution evolution patterns for all system states across the impulsive instants, inste...
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ISBN:
(数字)9781665403870
ISBN:
(纸本)9781665403870
In this paper, a novel general-event-based impulsive transition matrix (GITM) is constructed, which can reveal the probability distribution evolution patterns for all system states across the impulsive instants, instead of the regular time indexes. Based on the GITM, the event-triggered impulsive adaptive dynamic programming (ETIADP) algorithm and a high-efficiency event-triggered impulsive adaptive dynamic programming (HEIADP) algorithm are developed. It is shown that the proposed methods can solve the optimal impulsive control problems of discrete stochastic systems, while reducing the computational and communication burden caused by updating the controller periodically. Convergency analysis is provided to show that boththe ETIADP and HEIADP algorithms can converge to the optimal impulsive performance index function. the proposed HEIADP algorithm updates policies and value functions partially at each iteration step according to actual hardware constraints, reducing the memory consumption of the ADP implementation. the simulation experiment is conducted to validate the effectiveness of the developed methods.
A combination approach of a modified PIPE algorithm to find the best architecture of hierarchical TS fuzzy model for a given problem and a simple evolutionary programming algorithm to optimize the parameters embedded ...
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ISBN:
(纸本)7121002159
A combination approach of a modified PIPE algorithm to find the best architecture of hierarchical TS fuzzy model for a given problem and a simple evolutionary programming algorithm to optimize the parameters embedded in die hierarchical TS fuzzy model is proposed. Simulation result for the chaotic time-series prediction problem show the feasibility and effectiveness of the proposed method.
the goal of this project is to develop a tangible programming language for use in informal science learning and to evaluate its effectiveness. As part of this effort, we will explore the relative strengths and weaknes...
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ISBN:
(纸本)9781595939944
the goal of this project is to develop a tangible programming language for use in informal science learning and to evaluate its effectiveness. As part of this effort, we will explore the relative strengths and weaknesses of tangible and graphical interaction for this task in the context of an exhibit on robotics on display at the Boston Museum of Science. We hypothesize that a tangible programming language will be practical for use in informal science settings and will offer significant advantages in terms of learning and quality of interaction.
Automated Offline programming (AOLP) is an emerging programming paradigm where industrial robot programs are generated from computer models with minimal human effort. Arc welding, such as Gas Metal Arc Welding (GMAW) ...
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ISBN:
(纸本)9781538604908
Automated Offline programming (AOLP) is an emerging programming paradigm where industrial robot programs are generated from computer models with minimal human effort. Arc welding, such as Gas Metal Arc Welding (GMAW) or Tungsten Inert Gas (TIG), is particularly suited for this application due to the unique retooling requirements. A key aspect of the AOLP process is the determination of accurate welding paths. We present a novel algorithm to extract accurate welding paths for regular or irregular 3D bodies. Our process is computationally inexpensive with processing times less than a second for typical applications. We detail three examples with a range of complexity and examine the accuracy of the results and computational performance.
Hand gesture recognition system is employed to provide interface between computer and human using hand gesture. this paper presents a technique for human computer interface through common hand gesture that is efficien...
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ISBN:
(纸本)9781538618608
Hand gesture recognition system is employed to provide interface between computer and human using hand gesture. this paper presents a technique for human computer interface through common hand gesture that is efficient to commemorate 25 aspersion gestures from the American sign language hand alphabet. the prospect of this paper is to develop up an algorithm for hand gesture recognition with reasonable accuracy. this work uses a domain independent learning methodology to automatically stir low-level spatiotemporal descriptors for high-level cross recognition by Correlated variance programming. Feature extraction is the most important orientation for gesture recognition and is indeed important in terms of giving input to a classifier. In this work Canny edge detector algorithm is used to find edge of the segmented and morphological filtered image which yields boundary of hand gesture in the image then Correlated variance mean based programming applied for recognition of gesture. Experimental results very precisely indicate that the developed method outperforms the existing state of the art.
the process-oriented design and implementation of concurrent systems have important advantages. However, it is challenging to verify the consistency of process communications between the design and the implementation....
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the process-oriented design and implementation of concurrent systems have important advantages. However, it is challenging to verify the consistency of process communications between the design and the implementation. To deal with such a challenge, we construct a formal framework for designing, implementing and verifying the consistency of process communications. In this framework, we use Failures in Communicating Sequential Processes (CSP), Erasmus and Category theory as the foundation. the framework is illustrated by using a running example. (C) 2016 the Authors. Published by Elsevier B.V.
Managing interest in collaborative data sharing involves determining interest of both owner and other parties. lnterest management method is bound to information such as user request, location, history, preferences an...
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ISBN:
(纸本)9781467389136
Managing interest in collaborative data sharing involves determining interest of both owner and other parties. lnterest management method is bound to information such as user request, location, history, preferences and data policies. Considering other researchers' works, managing data interest of sharing for its' constitutional adhered policy are rarely done in computerize manner. With attention that data shared are constituted with policy implieitly or explicitly, this paper proposes an automatie design of data poliey via poliey programming language in order to handle interest management. the study starts by analyzing secondary data through massive literature reviews. Two pertinent issues on interest management and data policy are explored, analyzed and summarized. Based on the research gap found in these analyses, an interest management for automated data poliey is designed. As a case study, a new set of programming constructs are implemented and embedded into an existing collaborative language called JACIE (Java-based Authoring language for Collaborative Interactive Environments) that acts as a policy programming language. the results of this study conform that automated data policy is feasible and functioning well. thus, this helps an interest manager to have flexible data policy in handling collaborative activities.
A new artificial neural system model for solving nonlinear programming with equality constraints is proposed in this paper. this model has two properties as follows: first, the optima set to the problems coincides wit...
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Cloud computing offers a customer the possibility of the availability of large computational resources, while paying only for the resources used. However, because of uncertainty in the customers future demand and the ...
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ISBN:
(纸本)9789897582431
Cloud computing offers a customer the possibility of the availability of large computational resources, while paying only for the resources used. However, because of uncertainty in the customers future demand and the future market price for the computational resources, obtaining these resources in a cost-effective and robust way is a difficult problem. the variety of pricing plans is a further complication. In this paper we solve this problem using two-stage stochastic programming, for the first time considering all three available pricing plans, i.e. on-demand, reservation, and spot pricing. through our experimental implementation, we find that our model can lower the total operational cost by up to 1.5 percent compared to other solutions.
in this paper, a novel kind of algorithm, called the self-adaptive chaos quantum clonal evolutionary programming algorithms-SCQP, is proposed based on the quantum theory and the Chaos Mutation Operator. By adopting qu...
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ISBN:
(纸本)7121002159
in this paper, a novel kind of algorithm, called the self-adaptive chaos quantum clonal evolutionary programming algorithms-SCQP, is proposed based on the quantum theory and the Chaos Mutation Operator. By adopting quantum chromosome as a representation, SCQP uses the Logistic Sequence to control the mutation size and the Chaos Mutation Operator to control the clonal selection. Compared withthe classical evolutionary algorithm-CEA and SCQP, SCQP is shown to be a capable of solving complex machine learning tasks, and the experiment results are better.
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