The nonpreemptive priority queues are effective for performance evaluations of production/manufacturing systems, inventory control and computer and telecommunication systems. Due to uncontrollable factors, parameters ...
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In this paper, we focus on block-angular nonlinear integer programming problems which is often seen as a mathematical model of large-scale discrete systems optimization. In order to make use of the special structure o...
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The purpose of this paper is to present a new method for automatic 3-C 3-D VSP wavefield separation. The method uses an iterative global non-linear optimization scheme, which includes two major steps: automatic 3-C ve...
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ISBN:
(纸本)9781605604749
The purpose of this paper is to present a new method for automatic 3-C 3-D VSP wavefield separation. The method uses an iterative global non-linear optimization scheme, which includes two major steps: automatic 3-C velocity analysis and wave-by-wave extraction/ subtraction. Regular waves (P down and up, P-S down and up, etc.) are extracted from the 3-C wavefield one wave at a time. Automatic velocity analysis predicts the strongest wave, which is extracted and subtracted. The next strongest wave now becomes the dominant wave and the process is repeated. As each new event is extracted, all previous removed events are re-examined and *** 2008, European Association of Geoscientists and Engineers.
Some insects can move towards female ones or their preys while minimizing the chance of being aware from their natural background using a technique called motion camouflage. In this paper, first as a prelude, an optim...
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For estimation and fusion tasks it is inevitable to approximate a Gaussian mixture by one with fewer components to keep the complexity bounded. Appropriate approximations can be typically generated by exploiting the r...
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ISBN:
(纸本)9783000248832
For estimation and fusion tasks it is inevitable to approximate a Gaussian mixture by one with fewer components to keep the complexity bounded. Appropriate approximations can be typically generated by exploiting the redundancy in the shape description of the original mixture. In contrast to the common approach of successively merging pairs of components to maintain a desired complexity, the novel Gaussian mixture reduction algorithm introduced in this paper avoids to directly reduce the original Gaussian mixture. Instead, an approximate mixture is generated from scratch by employing homotopy continuation. This allows starting the approximation with a single Gaussian, which is constantly adapted to the progressively incorporated true Gaussian mixture. Whenever a user-defined bound on the deviation of the approximation cannot be maintained during the continuation, further components are added to the approximation. This facilitates significantly reducing the number of components even for complex Gaussian mixtures.
In this paper, we propose a method to determine fuel-optimal trajectories for satellite formation maneuver subjected to collision avoidance using low-thrust continuous propulsion. Final bounded desired formation is ob...
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ISBN:
(纸本)9780877035442
In this paper, we propose a method to determine fuel-optimal trajectories for satellite formation maneuver subjected to collision avoidance using low-thrust continuous propulsion. Final bounded desired formation is obtained by including energy-matching condition and final geometry configuration constraints in the optimization formulation. The dynamics model used is a newly developed exact nonlinear relative dynamics considering eccentricity and earth oblateness. Resulting nonlinear optimal control problem is transcribed into nonlinear programming problem by a direct transcription method called Legendre pseudospectral method. The nonlinear programming problem is then solved using a sparse nonlinear optimization algorithm named SNOPT. Examples are presented across a range of applications. These examples demonstrate the applicability of Legendre pseudospectral method to optimal trajectory design for formation maneuver.
The ability to make good and timely decisions is an essential skill for all Engineering Managers. Basing management decisions on tribal knowledge or ?gut? feelings is no longer acceptable. Where possible, the decision...
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ISBN:
(纸本)9781605607139
The ability to make good and timely decisions is an essential skill for all Engineering Managers. Basing management decisions on tribal knowledge or ?gut? feelings is no longer acceptable. Where possible, the decision making process must be assisted via quantitative methods. There are a variety of complex quantitative methods for decision-making. A few examples are linear programming, non-linear programming, probability theory, multivariable optimization, multidisciplinary optimization, Pareto analysis, decision trees, and Monte Carlo simulation. As such, queuing theory (the topic of this paper) is a subset of probability theory. Specifically, queuing theory is the mathematical study of waiting lines (queues). The theory enables mathematical analysis of several related processes, including arriving at the (back of the) queue, waiting in the queue (essentially a storage process), and being served by the server(s) at the front of the queue. The theory permits the derivation and calculation of several performance measures including the average waiting time in the queue or the system, the expected number waiting or receiving service, and the probability of encountering the system in certain states such as empty, full, having an available server, or having to wait a certain time to be served (utilization). One can even derive the probability that a customer will exit the queue (balk). Queuing analysis is the direct application of queuing theory. Despite its complex origin, queuing analysis yields quick and accurate forecasts of resource needs based on nothing more than a working knowledge of flow and service rates. Queuing analysis can occur on single lines and multiple lines, both in parallel and in series. In manufacturing, the output of one queue is often the input for the next. The paper will show how queuing analysis aids decision making. In particular, resource allocation decisions based on flow, service, and utilization rates.
In this paper, we investigate the design of pulse shaping filter for ultra-wideband (UWB) communication systems. We used Linear FM and Hermite-Rodriguez basis functions. The design problem is formulated as a general n...
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ISBN:
(纸本)9780889867345
In this paper, we investigate the design of pulse shaping filter for ultra-wideband (UWB) communication systems. We used Linear FM and Hermite-Rodriguez basis functions. The design problem is formulated as a general nonlinear optimization problem with frequency domain constraints. Such a formulation is quite flexible and can accommodate both frequency and time domain design specifications and constraints. Computationally effective approaches to solving the nonconvex optimization are proposed. An example of designing a pulse meeting FCC requirements is presented to illustrate the effectiveness of the proposed method.
This paper presents a multi-frame data association algorithm for tracking multiple targets in video sequences. Multi-frame data association involves finding the most probable correspondences between target tracks and ...
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We present an accelerator scheme for use with existing packages that solve nonlinear programming problems with a large number of inequality constraints that arise in the process of discretizing continuous-time optimal...
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