This paper addresses the preassigned-time chaos control problem of memristor chaotic systems with time delays.Since the introduction of memristor,the presented models are nonlinear systems with chaotic dynamics.First,...This paper addresses the preassigned-time chaos control problem of memristor chaotic systems with time delays.Since the introduction of memristor,the presented models are nonlinear systems with chaotic dynamics.First,the TS fuzzy method is adopted to describe the chaotic systems.Then,a sliding-model-based control approach is proposed to achieve the preassigned-time stabilization of the presented models,where the upper bound of stabilization time can be arbitrarily specified in advance.Finally,simulation results demonstrate the validity of presented control approach and theoretic results.展开更多
This paper is concerned with bipartite consensus tracking for multi-agent systems with unknown disturbances.A barrier function-based adaptive sliding-mode control(SMC)approach is proposed such that the bipartite stead...This paper is concerned with bipartite consensus tracking for multi-agent systems with unknown disturbances.A barrier function-based adaptive sliding-mode control(SMC)approach is proposed such that the bipartite steady-state error is converged to a predefined region of zero in finite time.Specifically,based on an error auxiliary taking neighboring antagonistic interactions into account,an SMC law is designed with an adaptive gain.The gain can switch to a positive semi-definite barrier function to ensure that the error auxiliary is constrained to a predefined neighborhood of zero,which in turn guarantees practical bipartite consensus tracking.A distinguished feature of the proposed controller is its independence on the bound of disturbances,while the input chattering phenomenon is alleviated.Finally,a numerical example is provided to verify the effectiveness of the proposed controller.展开更多
怀化地区金矿成矿研究程度低,为提高该地区研究级别,首次采用了基于MRAS的证据权重法对该地区金矿进行成矿预测。在充分收集、整理该地区各种地质、矿产、构造、物探、化探和遥感资料的基础上,建立怀化地区金矿多元地学空间数据库。在...怀化地区金矿成矿研究程度低,为提高该地区研究级别,首次采用了基于MRAS的证据权重法对该地区金矿进行成矿预测。在充分收集、整理该地区各种地质、矿产、构造、物探、化探和遥感资料的基础上,建立怀化地区金矿多元地学空间数据库。在系统总结怀化地区金矿成矿规律的基础上,重建了该地区的金矿找矿模型,提取并构置了新元古代地层、断裂、航磁-60~0 n T、Au化探异常、Cu化探异常、Pb化探异常、Sb化探异常、Zn化探异常、岩浆岩、遥感推断环形构造、遥感推断线性构造、重力5~20 m Gal和30~55 m Gal、Au矿物重砂异常和其他矿物重砂异常等14个预测要素作为证据因子。预测网格单元划分采用2.5 km×2.5 km并进行了后验概率计算,根据后验概率计算值的分布特征将怀化地区的预测区块划分为A、B、C三个等级,并圈定了10个找矿靶区。根据找矿靶区的面积、已发现矿床（点）的数量和后验概率平均值等对找矿靶区进行了分级,最终将找矿靶区分为Ⅰ级找矿靶区4处,Ⅱ级找矿靶区3处,Ⅲ级找矿靶区3处。展开更多
基金Project supported by the National Natural Science Foundation of China(Grant Nos.62473348 and 62076229)the Knowledge Innovation Program of Wuhan-Basic Research(Grant No.2023010201010101).
文摘This paper addresses the preassigned-time chaos control problem of memristor chaotic systems with time delays.Since the introduction of memristor,the presented models are nonlinear systems with chaotic dynamics.First,the TS fuzzy method is adopted to describe the chaotic systems.Then,a sliding-model-based control approach is proposed to achieve the preassigned-time stabilization of the presented models,where the upper bound of stabilization time can be arbitrarily specified in advance.Finally,simulation results demonstrate the validity of presented control approach and theoretic results.
文摘This paper is concerned with bipartite consensus tracking for multi-agent systems with unknown disturbances.A barrier function-based adaptive sliding-mode control(SMC)approach is proposed such that the bipartite steady-state error is converged to a predefined region of zero in finite time.Specifically,based on an error auxiliary taking neighboring antagonistic interactions into account,an SMC law is designed with an adaptive gain.The gain can switch to a positive semi-definite barrier function to ensure that the error auxiliary is constrained to a predefined neighborhood of zero,which in turn guarantees practical bipartite consensus tracking.A distinguished feature of the proposed controller is its independence on the bound of disturbances,while the input chattering phenomenon is alleviated.Finally,a numerical example is provided to verify the effectiveness of the proposed controller.
文摘怀化地区金矿成矿研究程度低,为提高该地区研究级别,首次采用了基于MRAS的证据权重法对该地区金矿进行成矿预测。在充分收集、整理该地区各种地质、矿产、构造、物探、化探和遥感资料的基础上,建立怀化地区金矿多元地学空间数据库。在系统总结怀化地区金矿成矿规律的基础上,重建了该地区的金矿找矿模型,提取并构置了新元古代地层、断裂、航磁-60~0 n T、Au化探异常、Cu化探异常、Pb化探异常、Sb化探异常、Zn化探异常、岩浆岩、遥感推断环形构造、遥感推断线性构造、重力5~20 m Gal和30~55 m Gal、Au矿物重砂异常和其他矿物重砂异常等14个预测要素作为证据因子。预测网格单元划分采用2.5 km×2.5 km并进行了后验概率计算,根据后验概率计算值的分布特征将怀化地区的预测区块划分为A、B、C三个等级,并圈定了10个找矿靶区。根据找矿靶区的面积、已发现矿床（点）的数量和后验概率平均值等对找矿靶区进行了分级,最终将找矿靶区分为Ⅰ级找矿靶区4处,Ⅱ级找矿靶区3处,Ⅲ级找矿靶区3处。
