搜索结果: 1-15 共查到“管理学 robust”相关记录73条 . 查询时间(0.181 秒)
We consider statistical inference for regression when data are grouped into clusters, with regression model errors independent across clusters but correlated within clusters. Examples include data on ...
Robust Control Tools:Graphical User-Interfaces and LMI Algorithms
Robust Control Tools Graphical User-Interfaces LMI Algorithms
2015/7/13
Gives some vague ideas about useful control design tools that might be based on LMI algorithms.
Robust Control Tools:Graphical User-Interfaces and LMI Algorithms
Robust Control Tools Graphical User-Interfaces LMI Algorithms
2015/7/13
Gives some vague ideas about useful control design tools that might be based on LMI algorithms.
Robust Optimal Control of Linear Discrete-Time Systems Using Primal-Dual Interior-Point Methods
Robust Optimal Control Linear Discrete-Time Systems Primal-Dual Interior-Point Methods
2015/7/10
This paper describes how to efficiently solve a robust optimal control problem using recently developed primal-dual interior-point methods. Among potential applications are model predictive control. T...
We consider the problem of determining optimal wire widths for a power or ground network, subject to limits on wire widths, voltage drops, total wire area, current density, and power dissipation. To a...
Robust Linear Programming and Optimal Control
Linear programming Convex optimization Model-predictive control
2015/7/10
We describe an efficient method for solving an optimal control problem that arises in robust model-predictive control. The problem is to design the input sequence that minimizes the peak tracking erro...
A Scheme for Robust Distributed Sensor Fusion Based on Average Consensus
Scheme Robust Distributed Sensor Fusion Based Average Consensus
2015/7/10
We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterati...
As technology continues to scale beyond 100nm, there is a significant increase in performance uncertainty of CMOS logic due to process and environmental variations. Traditional circuit optimization me...
Fisher linear discriminant analysis (LDA) can be sensitive to the problem data. Robust Fisher LDA can systematically alleviate the sensitivity problem by explicitly incorporating a model of data uncer...
OPERA: Optimization with Ellipsoidal Uncertainty for Robust Analog IC Design
Statistical optim ization
2015/7/10
As the design-manufacturing interface becomes increasingly complicated with IC technology scaling, the corresponding process variability poses great challenges for nanoscale analog/RF design. Design o...
Robust Minimum Variance Beamforming
Ellipsoidal calculus Hadamard product robust beamforming second-order cone programming
2015/7/10
This paper introduces an extension of minimum variance beamforming, also known as Capon's method, that explicitly takes into account variation or uncertainty in the assumed array response. Sources of ...
Power Control in Lognormal Fading Wireless Channels with Uptime Probability Specifications via Robust Geometric Programming
Power Control in Lognormal Fading Wireless Channels Uptime Probability Specifications Robust Geometric Programming
2015/7/10
This paper concerns power control in lognormal fading wireless channels with correlated interference. We consider an outage-based quality of service (QoS) specification, which requires the uptime prob...
In Chebyshev finite-impulse response (FIR) equalization, we design an FIR filter that minimizes the Chebyshev equalization error, i.e., the maximum absolute deviation between the equalized and the des...
A Tractable Method for Robust Downlink Beamforming in Wireless Communications
Tractable Method Robust Downlink Beamforming Wireless Communications
2015/7/10
In downlink beamforming in a multiple-input multiple-output (MIMO) wireless communication system, we design beamformers that minimize the power subject to guaranteeing given signal-to-interference noi...
Robust efficient frontier analysis with a separable uncertainty model
Robust efficient frontier analysis separable uncertainty model
2015/7/10
Mean-variance (MV) analysis is often sensitive to model mis-specification or uncertainty, meaning that the MV efficient portfolios constructed with an estimate of the model parameters (i.e., the expec...