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20th International Symposium on VLSI Design and Test (VDAT)

作者： Bhattacharjee, Paromita Mondal, Abir J. Majumder, Alak Natl Inst Technol Arunachal Pradesh Dept Elect & Commun Engn Papum Pare 791112 India

ISBN: (纸本)9781509014224

The performance of a single stage amplifier when expressed as a function of designable and technology related parameters can be improved by adjusting the component values and transistor dimensions. In the process to optimize the performance, the corresponding parameters can be expressed in terms of objective function and constraints so as to graphically form a polytope type feasible region. Thereafter, simplex method and interior point based method are used to find an optimal value by traversing through each of the corner point and interior of the polytope formed. Consequently, the amplifier design problem can be realized as a special form of optimization problem called non linear programming (NLP), for which efficient global optimization methods have been developed. The present method yields completely an automated synthesis of single stage amplifiers directly from the specifications. In this paper, the proposed method is first described showing in detail the formulation of the design problem as NLP for a specific amplifier circuit and then applied to a wide variety of amplifier architectures. The optimal trade-off curves related to performance measures such as small signal gain(A(v)), unity gain frequency(UGF), slew rate(SR) and power are derived so as to observe the corresponding dependencies.

关键词： non linear programming Amplifier Circuit Small Signal Gain Unity Gain Frequency Slew Rate

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Optimization based method to consolidate European Transmission Data

Optimization based method to consolidate European Transmissi...

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PowerTech, 2015 IEEE Eindhoven

作者： Ruiz, Manuel Gabay, Michael Maeght, Jean Lefevre, Mireille Panciatici, Patrick Artelys Paris France RTE Versailles France

ISBN: (纸本)9781479976959

In this paper we present a merging procedure which is used to build a consistent description of the European network based on the data provided by the different Transmission System Operators (TSOs). In order to deal with inconsistencies in the data, we introduce a modified Optimal Power Flow (OPF) minimizing the deviation from TSOs data. Results on the European network demonstrate the interest of this approach on real-life cases and illustrate the impact of the deviation measure in the optimization process.

关键词： Power Systems Network Merging Optimal Power Flow non linear programming State Estimation

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Optimal Multi Area Wheeling using Genetic Algorithm

Optimal Multi Area Wheeling using Genetic Algorithm

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International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

作者： Poongothai, K. Karthikeyan, S. Prabhakar Raglend, Jacob Sahoo, Sarat Kumar Kumar, K. Sathish Velammal Engn Coll Dept EEE Madras Tamil Nadu India VIT Univ Sch Elect Engn Vellore Tamil Nadu India NI Univ Dept EEE Thuckalay Tamil Nadu India

ISBN: (纸本)9781479941902

Wheeling is a process of transmitting electric power through the transmission lines governed by a third party. A practical problem is that wheeling from vendor to vendee involves power flows through several intermediate networks that is, multi-area wheeling. Each utility involves in part of a more number of wheeling transaction over a few miles or hundreds of miles. A vendor that generates power does not have to own power transmission lines: only a connection to the network or grid. The vendor then pays the owner of the transmission line based on how much power is being moved and how congested the line is. In this paper, the basic objective is to minimize the overall operating cost considering the topological structure of the multi area wheeling. This is addressed as a non-linear optimization problem with linear constraints. The basic Genetic Algorithm is used to solve the above optimization problem.

关键词： wheeling power system economics transmission network Genetic Algorithm optimization non linear programming

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Optimal Placement and Location of Distributed Generators in Distorted Distribution System

Optimal Placement and Location of Distributed Generators in ...

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IEEE International Conference on Circuits, Power and Computing Technologies (ICCPCT)

作者： Kavitha, D. Renuga, P. Priya, S. Muthamil Thiagarajar Coll Engn Madurai Tamil Nadu India Thiagarajar Coll Engn Power Syst Madurai Tamil Nadu India

ISBN: (纸本)9781479923977

In this paper, an approach using Hybrid Genetic Algorithm and Particle Swarm Optimization Search (HGAPSO) is proposed for placing Distributed Generators (DGs) in distorted distribution system. The objective is to reduce the real power loss and average voltage total harmonic distortion (THDv) of the distorted distribution system. A detailed performance analysis is carried out on IEEE 18 bus system to express the effectiveness of the proposed method.

关键词： Distributed generation (DG) genetic algorithm (GA) multi objective optimization harmonic distortion non linear programming

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Optimization based method to consolidate European Transmission Data

Optimization based method to consolidate European Transmissi...

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IEEE Eindhoven PowerTech Conference

作者： Manuel Ruiz Michael Gabay Jean Maeght Mireille Lefevre Patrick Panciatici Artelys Paris France RTE Versailles France

关键词： Power Systems Network Merging Optimal Power Flow non linear programming State Estimation

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A Graph Model Proposal for Convex non linear Separable Problems with linear Constraints

A Graph Model Proposal for Convex Non Linear Separable Probl...

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World Congress on Engineering and Computer Science

作者： Cerda, Jaime Avalos, Alberto Univ Michoacana Sch Elect Engn Morelia Michoacan Mexico

ISBN: (纸本)9789881925237

The solution of non linear problems are based on very well grounded mathematical theories. This document proposes a Newton step graph-based model for convex non linear separable problems (NLP) with linear constraints. The Newton step is well suited for this kind of problems, but when the problem size grows the NLSP model will grow in a non linear manner. Furthermore, the constraints handling becomes the main problem as we have to select the right constraints in the different solution steps. When this happens, the sparse matrix representation is the path to follow, but very little has been made in order to fully explode the sparsity structure. Indeed, the Hessian matrix for the NLSP model has a very particular structure which can be exploited by using the graph underlying the problem, this is the approach taken in this document. To this end a graph is built derived from the components involved in the Newton step. which describes the solution for the NLSP problem. Based on this graph, the gradient can be evaluated directly based on the graph topology, as it will be shown, the information needed for such evaluation is embedded within the graph. Furthermore, the explicit graph model derived from the mathematical model allows us to think about it in terms of its structure which will be used in further works.

关键词： non linear programming linear Constraints Graph-based Systems KKT Conditions

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Further investigations on energy saving by jet impingement in bread baking process *

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IFAC Proceedings Volumes 2013年第2期46卷 701-706页

作者： X.-D. Li M. Alamir E. Witrant G. Della-Valle O. Rouaud L. Boillereaux Ch. Josset CNRS UJF INPG Gipsa-lab University of Grenoble. 11 rue des Mathmatiques 38402 Saint-Martin d'Hères France INRA UR 1268 Biopolymère Interactions et Assemblage (BIA). 44316 Nantes France LUNAM Université ONIRIS CNRS GEPEA UMR 6144. Rue de la Géraudiere 44322 Nantes France Laboratoire de Thermocinetique de Nantes UMR 6607 Polytech Nantes. Rue C. Pauc 44306 Nantes France

This paper presents a study of the estimation of potential energy saving in bread baking process using the jet impingement technology. This new technology is developed to increase the heat transfer efficiency during the baking process. Based on a mechanistic heat exchange model identified in the past work, a non convex optimization problem is formulated taking account of a non zero energy cost related to the new technology. The simulation result shows that one can expect to obtain up to 12% of energy saving under some reasonable assumptions.

关键词： Bread Baking Energy Saving non linear programming

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Analysis of Software Testing Strategies Through Attained Failure Size

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IEEE TRANSACTIONS ON RELIABILITY 2012年第2期61卷 569-579页

作者： Zachariah, Babu Chh Shahu Inst Business Educ & Res Kolhapur Maharashtra India

This paper discusses efficacy issues in software testing strategies through attained failure size. Failure size is the probability of finding an input that causes a failure in the input domain. As testing progresses, failure size decreases due to debugging. The failure size at the termination of testing is called the attained failure size. Using this measure, we compare the efficacies of partition testing and random testing, derive conditions that lead to the superiority of partition testing, and obtain optimal time allocations in partition testing. The core findings are presented in a decision tree to assist testers in test management.

关键词： Attained failure size non linear programming optimization partition testing random testing testing strategies

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Derivation of the optimal control of an extractive distillation unit in the production process of fuel grade ethanol

Derivation of the optimal control of an extractive distillat...

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2012 AIChE Annual Meeting, AIChE 2012

作者： Ramos, Manuel A. Gómez, Jorge M. Grupo de Diseño de Productos y Procesos Departamento de Ingeniería Química Universidad de Los Andes Carrera 1 No. 18a-10 Bogotá Colombia

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Robust Optimization of Nanometer SRAM Designs

Robust Optimization of Nanometer SRAM Designs

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作者： Dayal, Akshit Texas A&M University

Technology scaling has been the most obvious choice of designers and chip manufacturing companies to improve the performance of analog and digital circuits. With the ever shrinking technological node, process variations can no longer be ignored and play a significant role in determining the performance of nanoscaled devices. By choosing a worst case design methodology, circuit designers have been very munificent with the design parameters chosen, often manifesting in pessimistic designs with significant area overheads. Significant work has been done in estimating the impact of intra-die process variations on circuit performance, pertinently, noise margin and standby leakage power, for fixed transistor channel dimensions. However, for an optimal, high yield, SRAM cell design, it is absolutely imperative to analyze the impact of process variations at every design point, especially, since the distribution of process variations is a statistically varying parameter and has an inverse correlation with the area of the MOS transistor. Furthermore, the first order analytical models used for optimization of SRAM memories are not as accurate and the impact of voltage and its inclusion as an input, along with other design parameters, is often ignored. In this thesis, the performance parameters of a nano-scaled 6-T SRAM cell are modeled as an accurate, yield aware, empirical polynomial predictor, in the presence of intra-die process variations. The estimated empirical models are used in a constrained non-linear, robust optimization framework to design an SRAM cell, for a 45 nm CMOS technology, having optimal performance, according to bounds specified for the circuit performance parameters, with the objective of minimizing on-chip area. This statistically aware technique provides a more realistic design methodology to study the trade off between performance parameters of the SRAM. Furthermore, a dual optimization approach is followed by considering SRAM power supply and wordline

关键词： SRAM Static Noise Margin Leakage Power Response Surface Modeling Dynamic noise Margin non linear programming Access Time Sequential Quadratic programming Book Thesis

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