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An adaptive neural network decentralized stabilization approach is presented for a class of uncertain nonlinear time-delay large scale interconnected systems with expanding construction in this paper. So-called expending construction of large scale interconnected systems means that there are some new subsystems to be added in the original large scale system during operation. The control problem is...
An important challenge regarding peer's trust valuation in peer-to-peer (P2P) networks is how to cope with such problems as dishonest feedbacks from malicious peers, collusions and complex strategic frauds, which cannot be effectively tackled by the existing solutions. Thus, a reputation-based distributed trust management model for P2P networks, named RATM for short, is proposed to quantify and evaluate...
A gallium nitride Doherty power amplifier (GaN Doherty PA) was designed for 2.5 GHz WiMAX band, and a radial-basis function neural network (RBFNN) model is proposed for predicting this amplifier' nonlinear characteristics. Comparison of AM/AM, AM/PM, PAE and Pout curves between the RBFNN model and circuit simulation are given. After 125 epochs, the convergence of this RBFNN model becomes slower and...
The robust decentralized connective stabilization problem for the expanding construction of large-scale systems, which is constituted by adding new subsystems one after another on the original construction during the operation, is considered in this paper. The robust decentralized connective stabilization problem for the system is how to design the local control law of the new subsystem based on not...
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