Pollution of the power plant has caused harmful environmental effects due to the emission of greenhouse gas. The pollution can be reduced by adjusting the real power outputs of different power plants. However, the rel...
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ISBN:
(纸本)9781457710001
Pollution of the power plant has caused harmful environmental effects due to the emission of greenhouse gas. The pollution can be reduced by adjusting the real power outputs of different power plants. However, the relocation of real power outputs results an additional outlay in the system. In order to eliminate the conflict between the cost and emission, an optimal power flow is introduced in this paper, which aims to study the trade-off relationship between the economic dispatch and the power plant emission. Simulation results on the IEEE 30bus power system demonstrates the perspective of solving the environmental-economic power dispatch problem by a novel optimization algorithm.
We consider the classic problem of pole placement by state feedback. We revisit the well-known eigenstructure assignment algorithm of Kautsky, Nichols and van Dooren [1] and extend it to obtain a novel parametric form...
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ISBN:
(纸本)9781479932757
We consider the classic problem of pole placement by state feedback. We revisit the well-known eigenstructure assignment algorithm of Kautsky, Nichols and van Dooren [1] and extend it to obtain a novel parametric form for the pole-placing feedback matrix that can deliver any set of desired closed-loop eigenvalues, with any desired multiplicities. This parametric formula is then employed to introduce an unconstrained nonlinear optimisation algorithm to obtain a feedback matrix that delivers the desired pole placement with minimum gain.
We study variants of the Optimal Refugee Resettlement problem where a set F of refugee families need to be allocated to a set P of possible places of resettlement in a feasible and optimal way. Feasibility issues emer...
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Flexible needle with bevel tip offers greater mobility for puncture surgery. This would expand the scope of the puncture surgery. However, motion planning for flexible needle is still a challenge due to its non-holono...
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ISBN:
(纸本)9781467317139
Flexible needle with bevel tip offers greater mobility for puncture surgery. This would expand the scope of the puncture surgery. However, motion planning for flexible needle is still a challenge due to its non-holonomic property and the complicated interactions with soft tissues. In this paper, a multilayer tissue model is constructed to simulate human tissue, and a dynamic programming is employed to plan the motion of flexible needle in the multilayer environment. In order to improve the security of the puncture process, the obstacles are fuzzed up. Then, an optimal algorithm is developed to determine a more suitable puncture angle. In addition, to deal with more complex environment, we develop a reverse algorithm to confirm the entry point in line with the target. Finally, we take some simulations to verify the proposed algorithms, and analyze the results.
This paper considers the identification of a linear dynamic system driven by a non-Gaussian noise distribution. The noise is approximated by a finite Gaussian mixture, whilst the parameters of the system and the param...
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ISBN:
(纸本)9781728131863
This paper considers the identification of a linear dynamic system driven by a non-Gaussian noise distribution. The noise is approximated by a finite Gaussian mixture, whilst the parameters of the system and the parameters that approximate the noise distribution are simultaneously estimated using the principle of Maximum Likelihood. To this end, a global optimization algorithm is utilized to solve the resulting non-convex optimization problem. It is shown that our approach improves the accuracy of the estimates, when compared with classic estimation techniques such as the prediction error method (PEM), in terms of covariance of the estimation error, while also obtaining an approximation of the noise distribution. The benefits of the proposed technique are illustrated by numerical simulations.
This paper proposes a novel power-aware multi-frequency wrapper architecture design to achieve at-speed testability. The trade-offs between power dissipation, scan time and bandwidth are well handled by gating off cer...
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ISBN:
(纸本)1424406293;9781424406296
This paper proposes a novel power-aware multi-frequency wrapper architecture design to achieve at-speed testability. The trade-offs between power dissipation, scan time and bandwidth are well handled by gating off certain virtual cores at a time while parallelizing the remaining. A shelf packing based optimization algorithm is proposed to design and optimize the wrapper architecture while minimizing the test time under power and bandwidth constraints.
EEG (electroencephalography) can be analyzed quantitatively by introducing the EEG energy index in EEG preliminary examination of determination of brain death. EMD (empirical mode decomposition), MEMD (multivariate em...
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ISBN:
(纸本)9781509061839
EEG (electroencephalography) can be analyzed quantitatively by introducing the EEG energy index in EEG preliminary examination of determination of brain death. EMD (empirical mode decomposition), MEMD (multivariate empirical mode decomposition), and 2T-EMD (turning tangent empirical mode decomposition) can be used to analyze coma and quasi-brain-death patients' EEG energy. In this paper, EMD, MEMD, and 2T-EMD are compared from algorithm principle and experimental aspects in order to obtain the optimal algorithm for supporting determination of brain death, where experiments are carried out based on standard artificial signals and patients' EEG. The analysis results illustrate that 2T-EMD is the optimal algorithm with the relative superior computational performance for both single and multi-channel signals.
作者：
Lacoste, DavidCastellana, MicheleInstitut Curie
PSL Research University CNRS UMR168 11 rue Pierre et Marie Curie Paris 75005 France Gulliver Laboratory UMR CNRS 7083 PSL Research University ESPCI 10 Rue Vauquelin Paris F-75231 France
We present an improvement of the Gillespie Exact Stochastic Simulation Algorithm, which leverages a bitwise representation of variables to perform independent simulations in parallel. We show that the subsequent gain ...
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The present paper examines a modified shear-lag model for predicting the stress distribution in short fiber reinforced composite materials. The model assumes perfect bonding between the fiber and the matrix materials,...
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The present paper examines a modified shear-lag model for predicting the stress distribution in short fiber reinforced composite materials. The model assumes perfect bonding between the fiber and the matrix materials, and allows for the matrix material to partially sustain axial loads. The stress distribution obtained on the basis of this model is used to predict the internal damping characteristics of the composite material. These characteristics are a function of both the material properties and the geometrical layout of the composite, and are optimized by combining the analytical model with a nonlinear programming optimization algorithm. Representative numerical results are obtained for glass–epoxy and graphite–epoxy composites
Convergence in learning-to-optimize is hardly studied, because conventional convergence guarantees in optimization are based on geometric arguments, which cannot be applied easily to learned algorithms. Thus, we devel...
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