This paper is concerned with the problem of stabilization of the Roesser type discrete-time nonlinear 2-D system that plays an important role in many practical applications. First, a discrete-time 2-D T-S fuzzy model ...This paper is concerned with the problem of stabilization of the Roesser type discrete-time nonlinear 2-D system that plays an important role in many practical applications. First, a discrete-time 2-D T-S fuzzy model is proposed to represent the underlying nonlinear 2-D system. Second, new quadratic stabilization conditions are proposed by applying relaxed quadratic stabilization technique for 2-D case. Third, for sake of further reducing conservatism, new non-quadratic stabilization conditions are also proposed by applying a new parameter-dependent Lyapunov function, matrix transformation technique, and relaxed technique for the underlying discrete-time 2-D T-S fuzzy system. Finally, a numerical example is provided to illustrate the effectiveness of the proposed results.展开更多
植被覆盖层对微波遥感反演地表土壤水分产生重要影响。以河北省景县为研究区,基于Sentinel-1 SAR遥感数据和Sentinel-2光学遥感数据,采用改进水云模型和Oh模型的组合方法,对植被覆盖地表土壤水分进行定量反演研究。结果表明:在Sentinel-...植被覆盖层对微波遥感反演地表土壤水分产生重要影响。以河北省景县为研究区,基于Sentinel-1 SAR遥感数据和Sentinel-2光学遥感数据,采用改进水云模型和Oh模型的组合方法,对植被覆盖地表土壤水分进行定量反演研究。结果表明:在Sentinel-1 VV极化条件下,改进水云模型和Oh模型的组合方法具有较高的反演精度,决定系数(R 2)为0.6530,均方根误差(RMSE)为0.0401 cm 3·cm^-3,平均绝对误差(MAE)为0.0327 cm 3·cm^-3,这3项反演精度评价指标均优于VH极化。该方法在获取高空间分辨率和高精度的植被覆盖区农田土壤水分信息方面具有较高的应用价值。展开更多
基金Supported by National Natural Science Foundation of China(50977008,60904017,60774048,60728307),the Funds for Creative Research Groups of China(60521003),the Program for Cheung Kong Scholars and Innovative Research Team in University(IRT0421),and the 111 Project(B08015),National High Technology Research and Development Program of China(863 Program)(2006AA04Z183)
文摘This paper is concerned with the problem of stabilization of the Roesser type discrete-time nonlinear 2-D system that plays an important role in many practical applications. First, a discrete-time 2-D T-S fuzzy model is proposed to represent the underlying nonlinear 2-D system. Second, new quadratic stabilization conditions are proposed by applying relaxed quadratic stabilization technique for 2-D case. Third, for sake of further reducing conservatism, new non-quadratic stabilization conditions are also proposed by applying a new parameter-dependent Lyapunov function, matrix transformation technique, and relaxed technique for the underlying discrete-time 2-D T-S fuzzy system. Finally, a numerical example is provided to illustrate the effectiveness of the proposed results.
文摘植被覆盖层对微波遥感反演地表土壤水分产生重要影响。以河北省景县为研究区,基于Sentinel-1 SAR遥感数据和Sentinel-2光学遥感数据,采用改进水云模型和Oh模型的组合方法,对植被覆盖地表土壤水分进行定量反演研究。结果表明:在Sentinel-1 VV极化条件下,改进水云模型和Oh模型的组合方法具有较高的反演精度,决定系数(R 2)为0.6530,均方根误差(RMSE)为0.0401 cm 3·cm^-3,平均绝对误差(MAE)为0.0327 cm 3·cm^-3,这3项反演精度评价指标均优于VH极化。该方法在获取高空间分辨率和高精度的植被覆盖区农田土壤水分信息方面具有较高的应用价值。
