This paper investigates the problem of receding horizon state estimation for networked control systems （NCSs） with random network-induced delays less than one sample period, which are formulated as multirate control...This paper investigates the problem of receding horizon state estimation for networked control systems （NCSs） with random network-induced delays less than one sample period, which are formulated as multirate control systems. Based on a batch of recent past slow rate measurements in a finite horizon window, the initial state estimation in this window is solved by minimizing a receding-horizon objective function, and then the fast rate state estimations are calculated by the prediction of dynamic equation to compensate for the network-induced time delays. Furthermore, convergence results and unbiasedness properties are analyzed. An upper bound of estimation error is presented under the assumption of bounded disturbances acting on the system and measurement equations. A simulation example shows the effectiveness of the proposed method.展开更多
构造一种线性差分式Hop fie ld网络(LDHNN),其稳定状态可使能量函数达到唯一极小值.利用该网络稳定性与其能量函数收敛特性的关系,提出了基于LDHNN的移动域控制方法.LDHNN的理论设计表明,网络的稳态输出即为移动域LQ控制问题的解.当系...构造一种线性差分式Hop fie ld网络(LDHNN),其稳定状态可使能量函数达到唯一极小值.利用该网络稳定性与其能量函数收敛特性的关系,提出了基于LDHNN的移动域控制方法.LDHNN的理论设计表明,网络的稳态输出即为移动域LQ控制问题的解.当系统满足一定条件时,基于LDHNN的移动域LQ控制能保证闭环最优控制系统的渐近稳定性.数字仿真取得了与理论分析一致的实验结果.展开更多
传统的协同搜索决策方法在目标引导和机间协同方面存在不足.研究建立了基于分布概率预测的目标概率图(Target probability map,TPM)初始化方法和基于贝叶斯准则的目标概率图动态更新方法,形成了修正目标概率图(Modified TPM,MTPM)及其...传统的协同搜索决策方法在目标引导和机间协同方面存在不足.研究建立了基于分布概率预测的目标概率图(Target probability map,TPM)初始化方法和基于贝叶斯准则的目标概率图动态更新方法,形成了修正目标概率图(Modified TPM,MTPM)及其运算机理.考虑对任务子区域进行可控回访,定义了数字信息素图(Digital pheromone map,DPM),建立了数字信息素图使用方法及更新机理.设计了基于MTPM和DPM的寻优指标,建立了基于滚动时域控制的协同搜索决策方法(MTPM-DPM-RHC method,MDR).仿真表明:1)MTPM能有效降低对目标的虚警率和漏检率;2)DPM能有效实现对任务区域可控回访;3)MDR方法的遍历能力、重访能力和目标搜索效率均优于已有方法.展开更多
The paper presents a new three-dimensional (3D) cooperative guidance approach by the receding horizon control (RHC) technique. The objective is to coordinate the impact time of a group of interceptor missiles against ...The paper presents a new three-dimensional (3D) cooperative guidance approach by the receding horizon control (RHC) technique. The objective is to coordinate the impact time of a group of interceptor missiles against the stationary target. The framework of a distributed RHC scheme is developed, in which each interceptor missile is assigned its own finite-horizon optimal control problem (FHOCP) and only shares the information with its neighbors. The solution of the local FHOCP is obtained by the constrained particle swarm optimization (PSO) method that is integrated into the distributed RHC framework with enhanced equality and inequality constraints. The numerical simulations show that the proposed guidance approach is feasible to implement the cooperative engagement with satisfied accuracy of target capture. Finally, the computation efficiency of the distributed RHC scheme is discussed in consideration of the PSO parameters, control update period and prediction horizon. (C) 2016 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.展开更多
基金Supported by the National Natural Science Foundation of China (Grant Nos. 60774015, 60674018, 60825302)the National High-Tech Research& Development Program of China (Grant No. 2006AA04Z173)+1 种基金the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20060248001)Shanghai Natural Science Foundation (Grant No. 07JC14016)
文摘This paper investigates the problem of receding horizon state estimation for networked control systems （NCSs） with random network-induced delays less than one sample period, which are formulated as multirate control systems. Based on a batch of recent past slow rate measurements in a finite horizon window, the initial state estimation in this window is solved by minimizing a receding-horizon objective function, and then the fast rate state estimations are calculated by the prediction of dynamic equation to compensate for the network-induced time delays. Furthermore, convergence results and unbiasedness properties are analyzed. An upper bound of estimation error is presented under the assumption of bounded disturbances acting on the system and measurement equations. A simulation example shows the effectiveness of the proposed method.
文摘构造一种线性差分式Hop fie ld网络(LDHNN),其稳定状态可使能量函数达到唯一极小值.利用该网络稳定性与其能量函数收敛特性的关系,提出了基于LDHNN的移动域控制方法.LDHNN的理论设计表明,网络的稳态输出即为移动域LQ控制问题的解.当系统满足一定条件时,基于LDHNN的移动域LQ控制能保证闭环最优控制系统的渐近稳定性.数字仿真取得了与理论分析一致的实验结果.
基金co-supported by the National Natural Science Foundation of China(Nos. 61273349 and 61573043)
文摘The paper presents a new three-dimensional (3D) cooperative guidance approach by the receding horizon control (RHC) technique. The objective is to coordinate the impact time of a group of interceptor missiles against the stationary target. The framework of a distributed RHC scheme is developed, in which each interceptor missile is assigned its own finite-horizon optimal control problem (FHOCP) and only shares the information with its neighbors. The solution of the local FHOCP is obtained by the constrained particle swarm optimization (PSO) method that is integrated into the distributed RHC framework with enhanced equality and inequality constraints. The numerical simulations show that the proposed guidance approach is feasible to implement the cooperative engagement with satisfied accuracy of target capture. Finally, the computation efficiency of the distributed RHC scheme is discussed in consideration of the PSO parameters, control update period and prediction horizon. (C) 2016 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
