Results 11 - 20 of 461

Markov Chain Approximations for Deterministic Control Problems with Affine Dynamics and Quadratic Cost in the Control

by Michelle Boué, Paul Dupuis - SIAM J. Numer. Anal , 1998
"... We consider the construction of Markov chain approximations for an important class of deterministic control problems. The emphasis is on the construction of schemes that can be easily implemented and which possess a number of highly desirable qualitative properties. The class of problems covered is ..."
Abstract - Cited by 54 (0 self) - Add to MetaCart
, as well as a proof of convergence. 1 Introduction There are a number of deterministic optimal control problems for which a global approximation to the value function is needed. For example, in small noise risk-sensitive and robust nonlinear filtering [10, 15], the optimal (robust) filter is defined

Enhancements in Security, Performance Modeling and Optimization in Vehicular Networks

by unknown authors
"... Abstract — Secure communication of time critical information in V2V networks is expected to be achieved via a robust infrastructure that provides security related services at all times. This document explores the impact of the security overheads on the performance of V2V communication and introduces ..."
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Abstract — Secure communication of time critical information in V2V networks is expected to be achieved via a robust infrastructure that provides security related services at all times. This document explores the impact of the security overheads on the performance of V2V communication

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL Int. J. Robust Nonlinear Control 2003; 00:1–12 Prepared using rncauth.cls [Version: 2002/11/11 v1.00] The Nyquist Robust Sensitivity Margin for Uncertain Closed-Loop Systems

by Saleh A. Al-shamali, Baowei Ji, Oscar D. Crisalle, Haniph A. Latchman
"... The Nyquist robust sensitivity margin is proposed as a new scalar indicator of robust stability that also provides a meaningful quantitative assessment of the worst sensitivity realized by the uncertain closed loop. After formulating and discussing in detail the underlying optimization problem requi ..."
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The Nyquist robust sensitivity margin is proposed as a new scalar indicator of robust stability that also provides a meaningful quantitative assessment of the worst sensitivity realized by the uncertain closed loop. After formulating and discussing in detail the underlying optimization problem

INDUSTRIAL APPLICATION

by G. Klaseboer
"... Sequential robust optimization of a V-bending process using numerical simulations ..."
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Sequential robust optimization of a V-bending process using numerical simulations

Modeling and minimization of PMOS NBTI effect for robust nanometer design

by Rakesh Vattikonda - Proceedings of Design Automation Conference , 2006
"... Negative bias temperature instability (NBTI) has become the dominant reliability concern for nanoscale PMOS transistors. In this paper, a predictive model is developed for the degradation of NBTI in both static and dynamic operations. Model scalability and generality are comprehensively verified wit ..."
Abstract - Cited by 61 (5 self) - Add to MetaCart
sizing, and reducing the duty cycle; (2) an optimal V DD exists to minimize the degradation of circuit performance; (3) tuning gate length or the switching frequency has little impact on the NBTI effect; (4) a new switching scenario is identified for worst case timing analysis during NBTI stress.

Optimal control of connected vehicle systems

by Jin I Ge , Gábor Orosz
"... Abstract-In this paper, linear quadratic tracking (LQT) is used to optimize the control gains for connected cruise control (CCC). We consider a vehicle string where the CCC vehicle at the tail receives position and velocity signals through wireless vehicle-to-vehicle (V2V) communication from other ..."
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Abstract-In this paper, linear quadratic tracking (LQT) is used to optimize the control gains for connected cruise control (CCC). We consider a vehicle string where the CCC vehicle at the tail receives position and velocity signals through wireless vehicle-to-vehicle (V2V) communication from other

Introducing Loading Uncertainty in Topology Optimization

by Peter D. Dunning, H. Alicia Kim, Glen Mullineux
"... Uncertainty is an important consideration in structural design and optimization to produce robust and reliable solutions. This paper introduces an efficient and accurate approach to robust structural topology optimization. The objective is to minimize expected compliance with uncertainty in loading ..."
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Uncertainty is an important consideration in structural design and optimization to produce robust and reliable solutions. This paper introduces an efficient and accurate approach to robust structural topology optimization. The objective is to minimize expected compliance with uncertainty in loading

Optimal forecast combination Quantile regression

by Roxana Halbleib A, Winfried Pohlmeier B
"... Method of moments Financial crisis a b s t r a c t The recent financial crisis has raised numerous questions about the accuracy of value at risk (VaR) as a tool to quantify extreme losses. In this paper we develop data driven VaR approaches that are based on the principle of optimal combination and ..."
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Method of moments Financial crisis a b s t r a c t The recent financial crisis has raised numerous questions about the accuracy of value at risk (VaR) as a tool to quantify extreme losses. In this paper we develop data driven VaR approaches that are based on the principle of optimal combination

Using Computational Simulations to Discover Optimal Training Paradigms

by A.P. Shon, X.B. Wu, W.B. Levy , 2000
"... The organization of training is an important determinant of how well subjects learn a cognitive task. To understand why di!erent training schedules produce di!erent learned performance, we used a hippocampal model to compare three training paradigms for the hippocampally dependent cognitive task cal ..."
Abstract - Cited by 4 (3 self) - Add to MetaCart
learning, will produce more robust learning on average than the progressive paradigm used in published behavioral studies. Possible mechanisms underlying performance di!erences between paradigms are investigated and discussed. # 2000 Elsevier Science B.V. All rights reserved.

Performance and variability optimization strategies in a sub-200mV, 3.5pJ/inst, 11nW subthreshold processor,”

by Scott Hanson , Bo Zhai , Mingoo Seok , Brian Cline , Kevin Zhou , Meghna Singhal , Michael Minuth , Javin Olson , Leyla Nazhandali , Todd Austin , Dennis Sylvester , David Blaauw - Symposium on VLSI Circuits, , 2007
"... Abstract A robust, energy efficient subthreshold (sub-V th ) processor has been designed and tested in a 0.13µm technology. The processor consumes 11nW at V dd =160mV and 3.5pJ/inst at V dd =350mV. Variability and performance optimization techniques are investigated for sub-V th circuits. Keywords: ..."
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Abstract A robust, energy efficient subthreshold (sub-V th ) processor has been designed and tested in a 0.13µm technology. The processor consumes 11nW at V dd =160mV and 3.5pJ/inst at V dd =350mV. Variability and performance optimization techniques are investigated for sub-V th circuits. Keywords
Results 11 - 20 of 461