Multifractal Detrended Flucutation Approach for the ETF in Chinese Market

This paper presents a empirical research based on multifractal detrended flucutation on ETF fund in China. Our analysis exhibits multifractal characteristics for ETF in china, The results show more comprehensive picture of ETF performance appraisal and hence a complement to traditional risk approach.Key words: Multifractal Detrended Fluctuation Approach;Singularity Exponent; Singularity Spectrum; Etf Fun

Optimal Design for Constraint Following Control of Tank Bi-Directional Stabilized Systems Based on Nash Game

This article proposes a robust control optimization design problem based on Nash game-theoretic for the marching tank bi-directional stabilization system of an all-electric actuator, which is accompanied by complex uncertainty (possibly fast time-varying but bounded). The task is to drive the barrel firing angle to adjust to a specified position under complex uncertainty while ensuring that multiple design parameters are optimally chosen in the controller. Firstly, the machine-electric coupled dynamics equations with uncertainty are created in the form of state space. Secondly, a robust controller with two design parameters to be chosen is given so that the constraint following error has uniform boundedness and uniform ultimate boundedness. Thirdly, a Nash game cost function consisting of three components: performance cost, time cost and control cost is proposed, and the Nash equilibrium (i.e., optimal control parameters) is obtained by minimizing the cost function. Finally, a co-simulation experimental platform is built to verify the robustness of the controller under complex uncertainty (modeling errors, uncertain disturbances and road excitation) and to demonstrate the global optimal performance of the system under optimal design parameters

Quantum Wind Driven Optimization for Unmanned Combat Air Vehicle Path Planning

Unmanned combat air vehicle (UCAV) path planning aims to calculate the optimal or suboptimal flight path considering the different threats and constraints under the complex battlefield environment. This flight path can help the UCAV avoid enemy threats and improve the efficiency of the investigation. This paper presents a new quantum wind driven optimization (QWDO) for the path planning of UCAV. QWDO algorithm uses quantum rotation gate strategy on population evolution and the quantum non-gate strategy to realize the individual variation of population. These operations improve the diversity of population and avoid premature convergence. This paper tests this optimization in two instances. The experimental results show that the proposed algorithm is feasible in these two cases. Compared to quantum bat algorithm (QBA), quantum particle swarm optimization (QPSO), wind driven optimization (WDO), bat algorithm (BA), particle swarm optimization (PSO), and differential evolution (DE), the QWDO algorithm exhibited better performance. The simulation results demonstrate that the QWDO algorithm is an effective and feasible method for solving UCAV path planning

Dual-Functional Conjugated Nanoporous Polymers for Efficient Organic Pollutants Treatment in Water: A Synergistic Strategy of Adsorption and Photocatalysis

A series of 9,9′-bifluorenylidene-based conjugated microporous/mesoporous polymers (BF-CMPs) were constructed via Suzuki polycondensation. The porosities and electronic properties of BF-CMPs can be readily tuned by selection of proper monomers. Among three BF-CMPs, Py-BF-CMP exhibited an extraordinarily high adsorption capacity (1905 mg g^–1) and excellent photocatalytic degradation performance of organic dyes in water. Moreover, Py-BF-CMP featured good recyclability with both high adsorption degree (99%) and photodegradation efficiency (92%) of RhB even after 10 recycles