Eye-feature diagnosis is a time-homored met hod for studying many diseases in tradit ional Chinese medicine.There is a dlose relationship between eye feature and viscera,and eye feature is a reflect ion of viscer al h...Eye-feature diagnosis is a time-homored met hod for studying many diseases in tradit ional Chinese medicine.There is a dlose relationship between eye feature and viscera,and eye feature is a reflect ion of viscer al health status.Commercially used ophthalmology diagnosis instr uments have disadvantages and cannot satisfy the requirements of eye feature diagnosis.In this paper,we proposed a novel askiatic imaging method that removes the interference of an ilumination source's reflection shadow and is free from image splicing.We developed a novel imaging system to implement this method,and some eye feature characteristics to analyze visceral diseases were obtained.展开更多
In this paper, adaptive neural control is proposed for a class of multi-input multi-output （MIMO） nonlinear unknown state time-varying delay systems in block-triangular control structure. Radial basis function （RBF...In this paper, adaptive neural control is proposed for a class of multi-input multi-output （MIMO） nonlinear unknown state time-varying delay systems in block-triangular control structure. Radial basis function （RBF） neural net- works （NNs） are utilized to estimate the unknown continuous functions. The unknown time-varying delays are compensated for using integral-type Lyapunov-Krasovskii functionals in the design. The main advantage of our result not only efficiently avoids the controller singularity, but also relaxes the restriction on unknown virtual control coefficients. Boundedness of all the signals in the closed-loop of MIMO nonlinear systems is achieved, while The outputs of the systems are proven to converge to a small neighborhood of the desired trajectories. The feasibility is investigated by two simulation examples.展开更多
基金the National Natural Science Foundation of China(81327005,61361160418,61575100)the National Foundation of High Technology of China(2012AA020102,2013AA041201)+2 种基金the National Key Foundation for Exploring Scientific Instruments(2013YQ190467)the Beijing Municipal Natural Science Foundation(4142025)the Beijing Lab Foundation,and the Tsinghua Autonomous Research Foundation(2014Z01001).
文摘Eye-feature diagnosis is a time-homored met hod for studying many diseases in tradit ional Chinese medicine.There is a dlose relationship between eye feature and viscera,and eye feature is a reflect ion of viscer al health status.Commercially used ophthalmology diagnosis instr uments have disadvantages and cannot satisfy the requirements of eye feature diagnosis.In this paper,we proposed a novel askiatic imaging method that removes the interference of an ilumination source's reflection shadow and is free from image splicing.We developed a novel imaging system to implement this method,and some eye feature characteristics to analyze visceral diseases were obtained.
基金supported by the National Natural Science Foundation of China(Nos.60864001,61074124)
文摘In this paper, adaptive neural control is proposed for a class of multi-input multi-output （MIMO） nonlinear unknown state time-varying delay systems in block-triangular control structure. Radial basis function （RBF） neural net- works （NNs） are utilized to estimate the unknown continuous functions. The unknown time-varying delays are compensated for using integral-type Lyapunov-Krasovskii functionals in the design. The main advantage of our result not only efficiently avoids the controller singularity, but also relaxes the restriction on unknown virtual control coefficients. Boundedness of all the signals in the closed-loop of MIMO nonlinear systems is achieved, while The outputs of the systems are proven to converge to a small neighborhood of the desired trajectories. The feasibility is investigated by two simulation examples.
