With wave-particle decomposition,a unified gas-kinetic wave-particle(UGKWP)method has been developed for multiscale flow simulations.With the variation of the cell Knudsen number,the UGKWP method captures the transpor...With wave-particle decomposition,a unified gas-kinetic wave-particle(UGKWP)method has been developed for multiscale flow simulations.With the variation of the cell Knudsen number,the UGKWP method captures the transport process in all flow regimes without the kinetic solver’s constraint on the numerical mesh size and time step being determined by the kinetic particle mean free path and particle collision time.In the current UGKWP method,the cell Knudsen number,which is defined as the ratio of particle collision time to numerical time step,is used to distribute the components in the wave-particle decomposition.The adaptation of particles in the UGKWP method is mainly for the capturing of the non-equilibrium transport.In this aspect,the cell Knudsen number alone is not enough to identify the non-equilibrium state.For example,in the equilibrium flow regime with a Maxwellian distribution function,even at a large cell Knudsen number,the flow evolution can be still modelled by the Navier-Stokes solver.More specifically,in the near space environment both the hypersonic flow around a space vehicle and the plume flow from a satellite nozzle will encounter a far field rarefied equilibrium flow in a large computational domain.In the background dilute equilibrium region,the large particle collision time and a uniform small numerical time step can result in a large local cell Knudsen number and make the UGKWP method track a huge number of particles for the far field background flow in the original approach.But,in this region the analytical wave representation can be legitimately used in the UGKWP method to capture the nearly equilibrium flow evolution.Therefore,to further improve the efficiency of the UGKWP method for multiscale flow simulations,an adaptive UGKWP(AUGKWP)method is developed with the introduction of an additional local flow variable gradient-dependent Knudsen number.As a result,the wave-particle decomposition in the UGKWP method is determined by both the cell and gradient Knudsen numbers,and the use of particl展开更多
This paper reports a new simple four-dimensional（4 D） hyperjerk chaotic system. The proposed system has only one stable equilibrium point. Hence, its strange attractor belongs to the category of hidden attractors. T...This paper reports a new simple four-dimensional（4 D） hyperjerk chaotic system. The proposed system has only one stable equilibrium point. Hence, its strange attractor belongs to the category of hidden attractors. The proposed system exhibits various dynamical behaviors including chaotic, periodic, stable nature, and coexistence of various attractors. Numerous theoretical and numerical methods are used for the analyses of this system. The chaotic behavior of the new system is validated using circuit implementation. Further, the synchronization of the proposed systems is shown by designing an adaptive integrator backstepping controller. Numerical simulation validates the synchronization strategy.展开更多
Pre-stack waveform inversion, by inverting seismic information, can estimate subsurface elastic properties for reservoir characterization, thus effectively guiding exploration. In recent years, nonlinear inversion met...Pre-stack waveform inversion, by inverting seismic information, can estimate subsurface elastic properties for reservoir characterization, thus effectively guiding exploration. In recent years, nonlinear inversion methods, such as standard genetic algorithm, have been extensively adopted in seismic inversion due to its simplicity, versatility, and robustness. However, standard genetic algorithms have some shortcomings, such as slow convergence rate and easiness to fall into local optimum. In order to overcome these problems, the authors present a new adaptive genetic algorithm for seismic inversion, in which the selection adopts regional equilibrium and elite retention strategies are adopted, and adaptive operators are used in the crossover and mutation to implement local search. After applying this method to pre-stack seismic data, it is found that higher quality inversion results can be achieved within reasonable running time.展开更多
研究了一种基于多端口DC/DC变换器(multi-port DC/DC converters,MPC)的混合储能系统(hybrid energy storage system,HESS),并将其应用于直流微电网。针对脉动负荷功率突变对直流母线电压及蓄电池组正常运行造成剧烈冲击的问题,提出了...研究了一种基于多端口DC/DC变换器(multi-port DC/DC converters,MPC)的混合储能系统(hybrid energy storage system,HESS),并将其应用于直流微电网。针对脉动负荷功率突变对直流母线电压及蓄电池组正常运行造成剧烈冲击的问题,提出了一种基于移动平均滤波算法的自适应能量控制策略(adaptive energy control strategy,AECS)。首先,通过移动平均滤波算法将脉动负荷功率进行滤波,由蓄电池组承担平缓的功率变化,而由超级电容器补偿瞬时的功率突变,从而优化蓄电池充放电过程,延长其使用寿命;其次,引入超级电容端电压自适应控制,将超级电容端电压稳定在参考值附近;并对蓄电池组端口采用能量流均衡控制,使各蓄电池组荷电状态(state of charge,SOC)趋于一致。通过仿真和实验,验证了所提出的能量控制策略的有效性。展开更多
This paper will present an approximate/adaptive dynamic programming(ADP) algorithm,that uses the idea of integral reinforcement learning(IRL),to determine online the Nash equilibrium solution for the two-player zerosu...This paper will present an approximate/adaptive dynamic programming(ADP) algorithm,that uses the idea of integral reinforcement learning(IRL),to determine online the Nash equilibrium solution for the two-player zerosum differential game with linear dynamics and infinite horizon quadratic cost.The algorithm is built around an iterative method that has been developed in the control engineering community for solving the continuous-time game algebraic Riccati equation(CT-GARE),which underlies the game problem.We here show how the ADP techniques will enhance the capabilities of the offline method allowing an online solution without the requirement of complete knowledge of the system dynamics.The feasibility of the ADP scheme is demonstrated in simulation for a power system control application.The adaptation goal is the best control policy that will face in an optimal manner the highest load disturbance.展开更多
基金the National Key R&D Program of China(Grant No.2022YFA1004500)National Natural Science Foundation of China(Grant No.12172316)the Hong Kong Research Grants Council(Grant Nos.16208021,16301222).
文摘With wave-particle decomposition,a unified gas-kinetic wave-particle(UGKWP)method has been developed for multiscale flow simulations.With the variation of the cell Knudsen number,the UGKWP method captures the transport process in all flow regimes without the kinetic solver’s constraint on the numerical mesh size and time step being determined by the kinetic particle mean free path and particle collision time.In the current UGKWP method,the cell Knudsen number,which is defined as the ratio of particle collision time to numerical time step,is used to distribute the components in the wave-particle decomposition.The adaptation of particles in the UGKWP method is mainly for the capturing of the non-equilibrium transport.In this aspect,the cell Knudsen number alone is not enough to identify the non-equilibrium state.For example,in the equilibrium flow regime with a Maxwellian distribution function,even at a large cell Knudsen number,the flow evolution can be still modelled by the Navier-Stokes solver.More specifically,in the near space environment both the hypersonic flow around a space vehicle and the plume flow from a satellite nozzle will encounter a far field rarefied equilibrium flow in a large computational domain.In the background dilute equilibrium region,the large particle collision time and a uniform small numerical time step can result in a large local cell Knudsen number and make the UGKWP method track a huge number of particles for the far field background flow in the original approach.But,in this region the analytical wave representation can be legitimately used in the UGKWP method to capture the nearly equilibrium flow evolution.Therefore,to further improve the efficiency of the UGKWP method for multiscale flow simulations,an adaptive UGKWP(AUGKWP)method is developed with the introduction of an additional local flow variable gradient-dependent Knudsen number.As a result,the wave-particle decomposition in the UGKWP method is determined by both the cell and gradient Knudsen numbers,and the use of particl
文摘This paper reports a new simple four-dimensional（4 D） hyperjerk chaotic system. The proposed system has only one stable equilibrium point. Hence, its strange attractor belongs to the category of hidden attractors. The proposed system exhibits various dynamical behaviors including chaotic, periodic, stable nature, and coexistence of various attractors. Numerous theoretical and numerical methods are used for the analyses of this system. The chaotic behavior of the new system is validated using circuit implementation. Further, the synchronization of the proposed systems is shown by designing an adaptive integrator backstepping controller. Numerical simulation validates the synchronization strategy.
基金Supported by the Major Projects of the National Science and Technology of China(No.2016ZX05026-002-003)National Natural Science Foundation of China(No.41374108)
文摘Pre-stack waveform inversion, by inverting seismic information, can estimate subsurface elastic properties for reservoir characterization, thus effectively guiding exploration. In recent years, nonlinear inversion methods, such as standard genetic algorithm, have been extensively adopted in seismic inversion due to its simplicity, versatility, and robustness. However, standard genetic algorithms have some shortcomings, such as slow convergence rate and easiness to fall into local optimum. In order to overcome these problems, the authors present a new adaptive genetic algorithm for seismic inversion, in which the selection adopts regional equilibrium and elite retention strategies are adopted, and adaptive operators are used in the crossover and mutation to implement local search. After applying this method to pre-stack seismic data, it is found that higher quality inversion results can be achieved within reasonable running time.
文摘研究了一种基于多端口DC/DC变换器(multi-port DC/DC converters,MPC)的混合储能系统(hybrid energy storage system,HESS),并将其应用于直流微电网。针对脉动负荷功率突变对直流母线电压及蓄电池组正常运行造成剧烈冲击的问题,提出了一种基于移动平均滤波算法的自适应能量控制策略(adaptive energy control strategy,AECS)。首先,通过移动平均滤波算法将脉动负荷功率进行滤波,由蓄电池组承担平缓的功率变化,而由超级电容器补偿瞬时的功率突变,从而优化蓄电池充放电过程,延长其使用寿命;其次,引入超级电容端电压自适应控制,将超级电容端电压稳定在参考值附近;并对蓄电池组端口采用能量流均衡控制,使各蓄电池组荷电状态(state of charge,SOC)趋于一致。通过仿真和实验,验证了所提出的能量控制策略的有效性。
基金supported by the National Science Foundation (No.ECCS-0801330)the Army Research Office (No.W91NF-05-1-0314)
文摘This paper will present an approximate/adaptive dynamic programming(ADP) algorithm,that uses the idea of integral reinforcement learning(IRL),to determine online the Nash equilibrium solution for the two-player zerosum differential game with linear dynamics and infinite horizon quadratic cost.The algorithm is built around an iterative method that has been developed in the control engineering community for solving the continuous-time game algebraic Riccati equation(CT-GARE),which underlies the game problem.We here show how the ADP techniques will enhance the capabilities of the offline method allowing an online solution without the requirement of complete knowledge of the system dynamics.The feasibility of the ADP scheme is demonstrated in simulation for a power system control application.The adaptation goal is the best control policy that will face in an optimal manner the highest load disturbance.
