This paper presents an impedance control approach for human-robot interaction (HRI) systems without using torque sensors. A sliding-mode disturbance observer based on super-twisting algorithm is proposed to estimate t...
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Permanganate/sulfite(Mn(VII)/S(IV))process is a promising pre-oxidation technology for sequestering the emerging organic contaminants in drinking water treatment ***(IPM),a representative of iodinated X-ray contrast m...
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Permanganate/sulfite(Mn(VII)/S(IV))process is a promising pre-oxidation technology for sequestering the emerging organic contaminants in drinking water treatment ***(IPM),a representative of iodinated X-ray contrast media,has been widely detected in water sources and has the risk of forming iodinated disinfection byproducts(I-DBPs)in water treatment *** this study,we investigated the evolution of iodine species during the IPM degradation by the Mn(VII)/S(IV)process and its effect on the subsequent formation of I-DBPs during chlorination at pH 7.0 and *** could be effectively degraded in the Mn(VII)/S(IV)process at environmentally relevant pH(pH 7.0 and 8.0).The results of quenching and competitive oxidation kinetic experiments revealed that SO^(·-)_(4)was the major reactive oxidizing species contributing to the degradation of IPM whereas the contributions of HO·and reactive manganese species were negligible in the Mn(VII)/S(IV)process.I–and IO–3were generated while no HOI was detected during the degradation of IPM in the Mn(VII)/S(IV)*** effects of IPM oxidation by Mn(VII)/S(IV)on the subsequent formation of chlorinated disinfection by-products(Cl-DBPs)during chlorination were related to the category of *** pre-oxidation of IPM by Mn(VII)/S(IV)resulted in the generation of I-DBPs during the disinfection process although no I-DBPs were detected if no pre-oxidation was *** finding of this study suggested that attention should be paid to the toxicity of DBPs when water containing iodinated organic contaminants is treated by Mn(VII)/S(IV)process or other pre-oxidation technologies.
Aiming at the difficulty of predicting the remaining service life of proton exchange membrane fuel cells (PEMFC), a novel prediction method combining fractional-order gradient learning and nuclear limit learning machi...
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In this study,twinning behaviors of an extruded Mg-4.7Gd-3.4Y-1.2Zn-0.5Zr(wt%)alloy sheet along different directions extrusion direction(ED),45°:45°to ED and transverse direction(TD)under tension and compres...
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In this study,twinning behaviors of an extruded Mg-4.7Gd-3.4Y-1.2Zn-0.5Zr(wt%)alloy sheet along different directions extrusion direction(ED),45°:45°to ED and transverse direction(TD)under tension and compression were *** results show that:(i)the twinning frequency of the extruded alloy sheet along different directions shows obvious anisotropy under both tension and compression while demonstrating opposite orders of ED>45°>TD under tension and TD>45°>ED under *** anisotropic twinning frequencies are both in accord with their average twinning Schmid factor(TSF)orders.(ii)Under both tension and compression,the twinning variants(TVs)with the highest and the second highest TSF are frequently selected with ***,the TV selection law under tension has a certain difference from that of compression,which should be related to the TSF distributions of ortho-TV,meta-TV and para-TV under tension and compression.
Feature selection (FS) is an important data pre-processing technique in classification. It aims to remove redundant and irrelevant features from the data, which reduces the dimensionality of data and improves the perf...
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This paper proposes a finite-time control method for the attitude of combined spacecraft without system parameter identification, avoiding the problems of long identification time and low identification accuracy of th...
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Tropical Cyclone (TC) estimation aims to estimate various attributes of TC in real-time to alleviate and prevent disasters caused by violent TCs. As artificial intelligence technology advances, various deep learning-b...
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This paper proposes an optimal control method for industrial boilers using particle swarm optimisation (PSO) algorithms to enhance the variable offset control technique. The method targets challenges such as suboptima...
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This paper addresses the estimation problem for a class of stochastic systems with multiple measurement delays,autocorrelated noises and nonlinear *** them,multiplicative noise is a zero-mean white noise sequence,and ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper addresses the estimation problem for a class of stochastic systems with multiple measurement delays,autocorrelated noises and nonlinear *** them,multiplicative noise is a zero-mean white noise sequence,and nonwhite additive noise is time-correlated,which can be described by a linear system *** main objective of this paper is to construct a recursive estimator that achieves the minimum error variance of the state estimation at each *** introducing the method of measurement difference and reorganized innovation sequence to deal with multiple measurement delays,the optimal linear state estimator for the systems under consideration is proposed.
The existing attribute reductions are carried out using equivalence relations under a complete information system,and there is less research on attribute reductions of incomplete information systems with new theoretic...
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The existing attribute reductions are carried out using equivalence relations under a complete information system,and there is less research on attribute reductions of incomplete information systems with new theoretical models such as multi-granularity decision rough *** address the above shortcomings,this paper first makes up a pessimistic-optimistic multi-granularity decision rough set model based on tolerance relations in incomplete information *** concepts of attribute importance and approximate distribution quality are introduced into the model to form an attribute reduction algorithm under incomplete information ***,due to the NPhard problem of attribute reduction,in order to further ensure the accuracy of the reduction result,this paper proposes a pessimistic-optimistic multi-granularity reduction algorithm under quantum particle swarm *** results on multipleattribute data proved that the algorithm proposed in this paper can effectively attribute reduction in the decision table with missing *** the same time,the algorithm of this paper has the role of iterative optimization search,ensuring the accuracy of the reduction results and increasing the applicability of multi-granularity decision rough sets.
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