This paper is concerned with the finite-time control problem for a class of networked control systems(NCSs) with short time-varying delays and sampling jitter.Considering a state feedback controller,the closed-loop NC...This paper is concerned with the finite-time control problem for a class of networked control systems(NCSs) with short time-varying delays and sampling jitter.Considering a state feedback controller,the closed-loop NCS is described as a discrete-time linear system model,and the uncertain parts reflect the effect of the the network-induced delays and short sampling jitter of the system dynamics.Then a robust approach is proposed to solve the finite-time stability and stabilization problems for the considered NCS.An illustrative example is provided to demonstrate the effectiveness of the proposed theoretical results.展开更多
A high-precision pseudo-noise ranging system is often required in satellite-formation missions. But in an actual PN ranging system, digital signal processing limits the ranging accuracy, only level up with meter-scale...A high-precision pseudo-noise ranging system is often required in satellite-formation missions. But in an actual PN ranging system, digital signal processing limits the ranging accuracy, only level up with meter-scale. Using non-integer chip to sample time ratio, noncommensurate sampling was seen as an effective solution to cope with the drawback of digital effects. However, researchers only paid attention to selecting specific ratios or giving a simulation model to verify the effectiveness of the noncommensurate ratios. A qualitative analysis model is proposed to characterize the relationship between the range accuracy and the noncommensurate sampling parameters. Moreover, a method is also presented which can be used to choose the noncommensurate ratio and the correlation length to get higher phase delay distinguishability and lower range jitter. The simulation results indicate the correctness of our analyses and the optimal ranging accuracy can be up to centimeter-level with the proposed approach.展开更多
基金supported by National Natural Science Foundation of China(Nos.61290322,61273222,61322303 and 61473248)Doctoral Fund of Ministry of Education of China(No.20121333110008)+1 种基金Hebei Province Hundred Excellent Innovation Talents Support ProgramHebei Province Applied Basis Research Project(No.13961806D)
文摘This paper is concerned with the finite-time control problem for a class of networked control systems(NCSs) with short time-varying delays and sampling jitter.Considering a state feedback controller,the closed-loop NCS is described as a discrete-time linear system model,and the uncertain parts reflect the effect of the the network-induced delays and short sampling jitter of the system dynamics.Then a robust approach is proposed to solve the finite-time stability and stabilization problems for the considered NCS.An illustrative example is provided to demonstrate the effectiveness of the proposed theoretical results.
基金Project(60904090) supported by the National Natural Science Foundation of China
文摘A high-precision pseudo-noise ranging system is often required in satellite-formation missions. But in an actual PN ranging system, digital signal processing limits the ranging accuracy, only level up with meter-scale. Using non-integer chip to sample time ratio, noncommensurate sampling was seen as an effective solution to cope with the drawback of digital effects. However, researchers only paid attention to selecting specific ratios or giving a simulation model to verify the effectiveness of the noncommensurate ratios. A qualitative analysis model is proposed to characterize the relationship between the range accuracy and the noncommensurate sampling parameters. Moreover, a method is also presented which can be used to choose the noncommensurate ratio and the correlation length to get higher phase delay distinguishability and lower range jitter. The simulation results indicate the correctness of our analyses and the optimal ranging accuracy can be up to centimeter-level with the proposed approach.
