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An adaptive radial basis function neural network(RBFNN) sliding-mode controller with decoupled method was proposed for a class of underactuated system. Different sub-systems were devided according to the performance of the system, and the corresponding sub-sliding plane was designed for the sub-system; The RBFNN controller was designed for one of the sub-system, and its adaptive algorithm was derived...
The integration of cellular and wireless local area networks (WLAN) has drawn much attention due to their complementary characteristics. Cellular supports wider coverage and better capability to mobile user but with lower bandwidth whereas WLAN have higher bandwidth and lower cost but is effective only in small areas. Based on the combination of users' mobility and network load, this paper proposes...
Climate change has produced an effect on the balance between supply and demand of water resources. From the view of new institutional economics, the paper introduces a conceptual framework for adaptive management system of river basin water resources facing climate change. It describes the interaction of the water environment and human activity under the situation of climate change through the PSR...
In wavelength division multiplexing (WDM) mesh networks, wavelength utilization is limited by the mismatch between the high bandwidth that one wavelength can provide and the relatively low bandwidth request of a single connection. Traffic grooming which grooms multiple connections onto one wavelength is a desirable technique to improve resource utilization. However, with unpredictable traffic demand,...
As the iterations are much, and the adjustment speed is slow, the improvements are made to the standard BP neural network algorithm. The momentum term of the weight adjustment rule is improved, make the weight adjustment speed more quicker and the weight adjustment process more smoother. The simulation of a concrete example shows that the iterations of the improved BP neural network algorithm can...
A phenomenon often found in session-to-session transfers of brain-computer interfaces (BCIs) is nonstationarity. It can be caused by fatigue and changing attention level of the user, differing electrode placements, varying impedances, among other reasons. Covariate shift adaptation is an effective method that can adapt to the testing sessions without the need for labeling the testing session data...
A discrete time neural network adaptive inversion controller design for a supermaneuverable aircraft nonlinear model is presented. The singular perturbation theory is used to separate the nonlinear dynamics into fast and slow sub-systems; The dynamic inversion is applied to design the control laws for the two sub-systems separately; The neural network adaptive control is based on the dynamic inversion,...
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