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您的检索式：作者名="N.Balakrishnan"
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| 1 | Bi-Objective Optimal Control Modification Adaptive Control for Systems with Input Uncertainty显示文摘This paper presents a new model-reference adaptive control method based on a bi-objective optimal control formulation for systems with input uncertainty. A parallel predictor model is constructed to relate the predictor error to the estimation error of the control effectiveness matrix. In this work, we develop an optimal control modification adaptive control approach that seeks to minimize a bi-objective linear quadratic cost function of both the tracking error norm and the predictor error norm simultaneously. The resulting adaptive laws for the parametric uncertainty and control effectiveness uncertainty are dependent on both the tracking error and the predictor error, while the adaptive laws for the feedback gain and command feedforward gain are only dependent on the tracking error. The optimal control modification term provides robustness to the adaptive laws naturally from the optimal control framework. Simulations demonstrate the effectiveness of the proposed adaptive control approach. | Nhan T.Nguyen Sivasubramanya N.Balakrishnan | 2014 | IEEE/CAA Journal of Automatica Sinica2014，1，4： | 3 |
| 2 | A h-Adaptive Algorithm Using Residual Error Estimates for Fluid Flows显示文摘Algorithms for adaptive mesh refinement using a residual error estimator are proposed for fluid flow problems in a finite volume framework.The residual error estimator,referred to as theℜ-parameter is used to derive refinement and coarsening criteria for the adaptive algorithms.An adaptive strategy based on theℜ-parameter is proposed for continuous flows,while a hybrid adaptive algorithm employing a combination of error indicators and theℜ-parameter is developed for discontinuous flows.Numerical experiments for inviscid and viscous flows on different grid topologies demonstrate the effectiveness of the proposed algorithms on arbitrary polygonal grids. | N.Ganesh N.Balakrishnan | 2013 | Communications in Computational Physics2013，13，2： | 1 |
| 3 | Prospects for sociogenomics in avian cooperative breeding and parental care显示文摘For the last 40 years,the study of cooperative breeding(CB)in birds has proceeded primarily in the context of discovering the ecological,geographical,and behavioral drivers of helping.The advent of molecular tools in the early 1990s assisted in clarifying the relatedness of helpers to those helped,in some cases,confirming predictions of kin selection theory.Methods for genome-wide analysis of sequence variation,gene expression,and epigenetics promise to add new dimensions to our understanding of avian CB,primarily in the area of molecular and developmental correlates of delayed breeding and dispersal,as well as the ontogeny of achieving parental status in nature.Here,we outline key ways in which modern-omics approaches,in particular genome sequencing,transcriptomics,and epigenetic profiling such as ATAC-seq,can be used to add a new level of ana-lysis of avian CB.Building on recent and ongoing studies of avian social behavior and sociogenom-ics,we review how high-throughput sequencing of a focal species or clade can provide a robust foundation for downstream,context-dependent destructive and non-destructive sampling of spe-cific tissues or physiological states in the field for analysis of gene expression and epigenetics.-Omics approaches have the potential to inform not only studies of the diversification of CB over evolutionary time,but real-time analyses of behavioral interactions in the field or lab.Sociogenomics of birds represents a new branch in the network of methods used to study CB,and can help clarify ways in which the different levels of analysis of CB ultimately interact in novel and unexpected ways. | Flavia TERMIGNONI-GARCIA Matthew I.M.LOUDER Christopher N.BALAKRISHNAN Lauren O’CONNELL Scott V.EDWARDS | 2020 | Current Zoology2020，66，3： | 0 |
| 4 | Stochastic ordering of medians in exchangeable trivariate normal vectors显示文摘In this paper, we establish the stochastic ordering of median from an exchangeable trivariate normal vector based on the strength of the correlation coefficient. Specifically, by considering two exchangeable trivariate normal vectors with different correlation coefficients, we show that the absolute value of the median in the vector with smaller correlation coefficient is stochastically smaller than the absolute value of the median in the vector with larger correlation coefficient. We prove this result by utilizing skew-normal distributions. | Ahad Jamalizadeh Mohsen Madadi Mehdi Amiri N.Balakrishnan | 2016 | Applied Mathematics(A Journal of Chinese Universities)2016，31，2： | 0 |
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