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In this paper, an adaptive tracking control scheme is proposed for robotic manipulators with unknown input saturation. To overcome the design difficulty from non-differential saturation nonlinearity, a smooth nonlinear function of the control input signal is first introduced to approximate the saturation function, which can be further transformed into an affine form according to the mean-value theorem...
This article reviews financial prediction models at home and abroad. On the basis of the actual situation in China, it introduces rough set theory and neural networks principles into the financial prediction model, builds the new prediction model, analysis the process of financial prediction model. Finally, it shows the science and rationality of the model using data in recent years of China's listed...
Wireless sensor networks, which are energy limited, low hardware configuration and proneness to invalidation, puts a high demand on the positioning algorithm. Therefore the improved multidimensional scaling (IMDS) algorithm is proposed. In IMDS, firstly, local positioning areas (LPA) are established by an adaptive search algorithm. So the centralized multidimensional scaling algorithm is changed into...
The 2-D Gabor transform has been recognized as being useful in diverse areas such as image compression, texture analysis, image segmentation, and image recognition; however, its real time applications have been limited due to the high computational complexity of the traditional 2-D complex-valued discrete Gabor transform (CDGT) algorithms. In this paper, 2-D discrete Hartley transform (DHT)-based...
The traditional DCT-based real-valued discrete Gabor transform (RGDT) was limited to the critical sampling case. The biorthogonality relationship between the analysis window and synthesis window for the transform was not unveiled. To overcome those drawbacks, this paper proposes a novel DCT-based real-valued discrete Gabor transform, which can be applied under both the critical sampling condition...
The paper designed a state predication controller for a class of discrete networked control systems (NCS) to compensate time-delay in them. In compensating stochastic time-delay of NCS, multi-step prediction has been applied in the current state of object prediction model and known object fact state. Then, in the case of dealing with the networked inducing delay and data package loss, the presented...
In this paper, the DCT-based real-valued discrete Gabor transform (RDGT) is briefly reviewed, and then, block time-recursive algorithms for the efficient and fast computation of the RDGT coefficients and for the fast reconstruction of the original signal from the coefficients are developed in both the critical sampling case and the oversampling case. Unified parallel lattice structures for the implementation...
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