Decentralized robust stabilization problem of discrete-time fuzzy large-scale systems with parametric uncertainties is considered. This uncertain fuzzy large-scale system consists of N interconnected T-S fuzzy subsyst...Decentralized robust stabilization problem of discrete-time fuzzy large-scale systems with parametric uncertainties is considered. This uncertain fuzzy large-scale system consists of N interconnected T-S fuzzy subsystems, and the parametric uncertainties are unknown but norm-bounded. Based on Lyapunov stability theory and decentralized control theory of large-scale system, the design schema of decentralized parallel distributed compensation （DPDC） fuzzy controllers to ensure the asymptotic stability of the whole fuzzy large-scale system is proposed. The existence conditions for these controllers take the forms of LMIs. Finally a numerical simulation example is given to show the utility of the method proposed.展开更多
This paper focuses on the problem of non-fragile decentralized guaranteed cost control for uncertain neutral large-scale interconnected systems with time-varying delays in state,control input and interconnections.A no...This paper focuses on the problem of non-fragile decentralized guaranteed cost control for uncertain neutral large-scale interconnected systems with time-varying delays in state,control input and interconnections.A novel scheme,viewing the interconnections with time-varying delays as effective information but not disturbances,is developed.Based on Lyapunov stability theory,using various techniques of decomposing and magnifying matrices,a design method of the non-fragile decentralized guaranteed cost controller for unperturbed neutral large-scale interconnected systems is proposed and the guaranteed cost is presented.The further results are derived for the uncertain case from the criterion of unperturbed neutral large-scale interconnected systems.Finally,an illustrative example shows that the results are significantly better than the existing results in the literatures.展开更多
近年来,雷达前视成像技术由于具备广泛的应用价值越来越受到重视,超分辨卷积反演技术是实现前视成像的一种重要技术途径。然而,基于阵列体制的扫描雷达在大范围扫描时会产生天线方向图空变,导致超分辨性能下降。针对该问题,提出了一种...近年来,雷达前视成像技术由于具备广泛的应用价值越来越受到重视,超分辨卷积反演技术是实现前视成像的一种重要技术途径。然而,基于阵列体制的扫描雷达在大范围扫描时会产生天线方向图空变,导致超分辨性能下降。针对该问题,提出了一种适用于阵列扫描雷达的前视稀疏超分辨成像方法。首先,考虑并分析了天线方向图空变性的产生原因,导出了修正天线卷积矩阵,实现了对扫描过程的精准表征;其次,在目标稀疏假设的前提下,构建了相应的目标函数;最后,采用基于重加权策略的交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)方法求解目标函数,实现了稀疏目标有效重建。实验结果表明,所提方法能实现4倍左右的分辨率提升,能有效提升雷达对前视目标区域的探测感知能力。展开更多
基金This project was supported by NSFC Project (60474047), (60334010) and GuangDong Province Natural Science Foundationof China(31406)and China Postdoctoral Science Foundation (20060390725).
文摘Decentralized robust stabilization problem of discrete-time fuzzy large-scale systems with parametric uncertainties is considered. This uncertain fuzzy large-scale system consists of N interconnected T-S fuzzy subsystems, and the parametric uncertainties are unknown but norm-bounded. Based on Lyapunov stability theory and decentralized control theory of large-scale system, the design schema of decentralized parallel distributed compensation （DPDC） fuzzy controllers to ensure the asymptotic stability of the whole fuzzy large-scale system is proposed. The existence conditions for these controllers take the forms of LMIs. Finally a numerical simulation example is given to show the utility of the method proposed.
基金supported by the National Natural Science Foundation of China(6057401160972164+1 种基金60904101)the Scientific Research Fund of Liaoning Provincial Education Department(2009A544)
文摘This paper focuses on the problem of non-fragile decentralized guaranteed cost control for uncertain neutral large-scale interconnected systems with time-varying delays in state,control input and interconnections.A novel scheme,viewing the interconnections with time-varying delays as effective information but not disturbances,is developed.Based on Lyapunov stability theory,using various techniques of decomposing and magnifying matrices,a design method of the non-fragile decentralized guaranteed cost controller for unperturbed neutral large-scale interconnected systems is proposed and the guaranteed cost is presented.The further results are derived for the uncertain case from the criterion of unperturbed neutral large-scale interconnected systems.Finally,an illustrative example shows that the results are significantly better than the existing results in the literatures.
文摘近年来,雷达前视成像技术由于具备广泛的应用价值越来越受到重视,超分辨卷积反演技术是实现前视成像的一种重要技术途径。然而,基于阵列体制的扫描雷达在大范围扫描时会产生天线方向图空变,导致超分辨性能下降。针对该问题,提出了一种适用于阵列扫描雷达的前视稀疏超分辨成像方法。首先,考虑并分析了天线方向图空变性的产生原因,导出了修正天线卷积矩阵,实现了对扫描过程的精准表征;其次,在目标稀疏假设的前提下,构建了相应的目标函数;最后,采用基于重加权策略的交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)方法求解目标函数,实现了稀疏目标有效重建。实验结果表明,所提方法能实现4倍左右的分辨率提升,能有效提升雷达对前视目标区域的探测感知能力。
文摘大规模稀疏多目标优化问题(Sparse Multiobjective Optimization Problems,SMOPs)广泛存在于现实世界。为大规模SMOPs提出通用的解决方法,对于进化计算、控制论和机器学习等领域中的问题解决都具有推动作用。由于SMOPs具有高维决策空间和Pareto最优解稀疏的特性,现有的进化算法在解决SMOPs时,很容易陷入维数灾难的困境。针对这个问题,以稀疏分布的学习为切入点,提出了一种基于在线学习稀疏特征的大规模多目标进化算法(Large-scale Multiobjective Evolutio-nary Algorithm Based on Online Learning of Sparse Features,MOEA/OLSF)。具体地,首先设计了一种在线学习稀疏特征的方法来挖掘非零变量;然后提出了一种稀疏遗传算子,用于非零变量的进一步搜索和子代解的生成,在非零变量搜索过程中,其二进制交叉和变异算子也用于控制解的稀疏性和多样性。与最新的优秀算法在不同规模的测试问题上的对比结果表明,所提算法在收敛速度和性能方面均更优。
