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Study on Performance of Wireless Multihop Networks Using MIMO MRC and MIMO MRT
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作者 Ye Xinrong Song Jianxin 《China Communications》 SCIE CSCD 2007年第2期64-68,共5页
This paper presents the concepts of completely connected network,mean path length and cluster for analysis performance of wireless multihop network,where matrix are used to express topology of network and use a new al... This paper presents the concepts of completely connected network,mean path length and cluster for analysis performance of wireless multihop network,where matrix are used to express topology of network and use a new algorithm to compute the number of cluster in the network.Multiple-input/multiple-output(MIMO) communication promises performance enhancement over conventional single-input/single-output(SISO) technology for the same radiated power,if leveraged in multihop network,MIMO may be able to provide significant network performance improvement in network robustness and in power consumption,this paper analyzes three types of multihop networks employing SISO, MIMO with maximum ratio combining(MRC) and MIMO with maximum ratio transmission(MRT) as link model respectively,and get that using MIMO link model can increase robust,decrease mean path length by simulation. 展开更多
关键词 multiple-input/multiple-output(MIMO) wireless multihop network MAXIMUM RATIO combining(MRC) MAXIMUM RATIO transmission(MRT) single-input/single-output(siso)
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State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems
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作者 Mohamed Hamdy 《International Journal of Automation and computing》 EI CSCD 2013年第2期118-124,共7页
This paper presents an observer based dynamic fuzzy logic system (DFLS) scheme for a class of unknown single-input single-output (SISO) nonlinear dynamic systems with external disturbances. The proposed approach d... This paper presents an observer based dynamic fuzzy logic system (DFLS) scheme for a class of unknown single-input single-output (SISO) nonlinear dynamic systems with external disturbances. The proposed approach does not need the availability of the state variables. Within this scheme, the DFLS is employed to identify the unknown nonlinear dynamic system. The control law and parameter adaptation laws of the DFLS are derived based on Lyapunov synthesis approach. The control law is robustfied in H∞ sense to attenuate external disturbance, model uncertainties, and fuzzy approximation errors. It is shown that under appropriate assumptions, it guarantees the boundedness of all the signals in the closed-loop system and the asymptotic convergence to zero of tracking errors. The proposed method is applied to an inverted pendulum system to verify the effectiveness of the proposed algorithms. 展开更多
关键词 single-input single-output siso nonlinear system dynamic fuzzy logic system (DFLS) OBSERVER Lyapunov synthesis approach stability analysis.
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