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Because of all kinds of factors, it is very difficult to achieve coherent sampling and integrated-cycle truncation when power grid harmonics are analyzed. But there inevitably exists spectral leakage when Fourier transform is directly adopted in incoherent sampling mode, and the accuracy of harmonic analysis will be seriously affected. To reduce spectral leakage, it’s a very important measure to weight...
Deficiencies of the performance-based iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of performance index based ILCs for the partial non-regular systems. Two kinds of optimal ILCs based on different performance indices are considered. Finally, simulation examples are given...
Based on the influence analysis of sampling and resampling operations on the consistency of map estimation, two fixed-lag sampling methods are designed to improve the Rao-Blackwellized particle filtering SLAM (RBPF-SLAM) algorithm: the fixed-lag Gibbs sampling and the fix-lag smooth sampling. They both can improve the filterpsilas estimation of past poses and reduce the probability of particle degeneracy...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic performance index in the iteration domain for the nominal dynamics of linear discrete-time systems. Properties of stability, convergence, robustness, and optimality are investigated and demonstrated. In the case that the system under consideration contains uncertain dynamics, the proposed ILC design can be...
Deficiencies of the optimal iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of optimal ILC for the partial non-regular systems. Besides, a novel optimal ILC based on new defined performance index in iteration domain is presented for the lifted systems. At last, simulation...
Deficiencies of the optimal iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of optimal ILC for the partial non-regular systems. Besides, a novel optimal ILC based on new defined performance index in iteration domain is presented for the lifted systems. At last, simulation...
This paper deals with the problem of designing guaranteed cost state feedback strategies for a class of multiple players nonzero-sum linear quadratic differential games where each player does not know exactly the state equation and model it through a system subject to norm-bounded uncertainties. Sufficient conditions for the existence of the guaranteed cost strategies for uncertain LQ differential...
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