A joint resource allocation scheme concerned with the sensor subset,power and bandwidth for range-only target tracking in multiple-input multiple-output(MIMO)radar systems is proposed.By selecting an optimal subset of...A joint resource allocation scheme concerned with the sensor subset,power and bandwidth for range-only target tracking in multiple-input multiple-output(MIMO)radar systems is proposed.By selecting an optimal subset of sensors with the predetermined size and implementing the power allocation and bandwidth strategies among them,this algorithm can help achieving a better performance within the same resource constraints.Firstly,the Bayesian Cramer-Rao bound(BCRB)is derived from it.Secondly,a criterion for minimizing the BCRB at the target location among all targets tracking in a certain range is derived.Thirdly,the optimization problem involved with three variable vectors is formulated,which can be simplified by deriving the relationship between the optimal power allocation vector and the bandwidth allocation vector.Then,the simplified optimization problem is solved by the cyclic minimization algorithm incorporated with the sequential parametric convex approximation(SPCA)algorithm.Finally,the validity of the proposed method is demonstrated with simulation results.展开更多
The uncertainty of distributed generation energy has dramatically challenged the coordinated development of distribution networks at all levels.This paper focuses on the multi-time-scale regulation model of distribute...The uncertainty of distributed generation energy has dramatically challenged the coordinated development of distribution networks at all levels.This paper focuses on the multi-time-scale regulation model of distributed generation energy under normal conditions.The simulation results of the example verify the self-optimization characteristics and the effectiveness of real-time dispatching of the distribution network control technology at all levels under multiple time scales.展开更多
A novel joint optimization strategy for the secondary user( SU) was proposed to consider the short-term and long-term video transmissions over distributed cognitive radio networks( DCRNs).Since the long-term video tra...A novel joint optimization strategy for the secondary user( SU) was proposed to consider the short-term and long-term video transmissions over distributed cognitive radio networks( DCRNs).Since the long-term video transmission consisted of a series of shortterm transmissions, the optimization problem in the video transmission was a composite optimization process. Firstly,considering some factors like primary user's( PU's) collision limitations,non-synchronization between SU and PU,and SU's limited buffer size, the short-term optimization problem was formulated as a mixed integer non-linear program( MINLP) to minimize the block probability of video packets. Secondly,combining the minimum packet block probability obtained in shortterm optimization and SU's constraint on hardware complexity,the partially observable Markov decision process( POMDP) framework was proposed to learn PU's statistic information over DCRNs.Moreover,based on the proposed framework,joint optimization strategy was designed to obtain the minimum packet loss rate in long-term video transmission. Numerical simulation results were provided to demonstrate validity of our strategies.展开更多
提出了一种考虑人员占用影响的集成楼宇暖通空调(heating,ventilation and air conditioning,HVAC)负荷群配电电网优化方法。首先,依据建筑围护热阻热容网络和配电网支路潮流方程构建了集成暖通空调负荷群配电网数学模型。其次,利用梯...提出了一种考虑人员占用影响的集成楼宇暖通空调(heating,ventilation and air conditioning,HVAC)负荷群配电电网优化方法。首先,依据建筑围护热阻热容网络和配电网支路潮流方程构建了集成暖通空调负荷群配电网数学模型。其次,利用梯形隶属度函数模糊化占用人数并考虑其对暖通空调负荷温度调控的影响,形成包含占用松弛函数约束的暖通空调负荷群与配电网联合优化方法。最后,通过模型预测控制方法实现了集成楼宇暖通空调负荷群配电网的滚动优化控制。改进的IEEE33节点配电网系统仿真结果表明,所提出的计及占用影响的联合优化模型,在楼宇侧能够满足人员热舒适性,同时减少楼宇暖通空调负荷能耗,在电网侧则减少配电网线路损耗和节点电压的波动,有效提高楼宇侧和电网侧整体的节能水平。展开更多
基金supported by the National Natural Science Foundation of China(615015136140146941301481)
文摘A joint resource allocation scheme concerned with the sensor subset,power and bandwidth for range-only target tracking in multiple-input multiple-output(MIMO)radar systems is proposed.By selecting an optimal subset of sensors with the predetermined size and implementing the power allocation and bandwidth strategies among them,this algorithm can help achieving a better performance within the same resource constraints.Firstly,the Bayesian Cramer-Rao bound(BCRB)is derived from it.Secondly,a criterion for minimizing the BCRB at the target location among all targets tracking in a certain range is derived.Thirdly,the optimization problem involved with three variable vectors is formulated,which can be simplified by deriving the relationship between the optimal power allocation vector and the bandwidth allocation vector.Then,the simplified optimization problem is solved by the cyclic minimization algorithm incorporated with the sequential parametric convex approximation(SPCA)algorithm.Finally,the validity of the proposed method is demonstrated with simulation results.
文摘The uncertainty of distributed generation energy has dramatically challenged the coordinated development of distribution networks at all levels.This paper focuses on the multi-time-scale regulation model of distributed generation energy under normal conditions.The simulation results of the example verify the self-optimization characteristics and the effectiveness of real-time dispatching of the distribution network control technology at all levels under multiple time scales.
基金National Natural Science Foundation of China(No.61301101)
文摘A novel joint optimization strategy for the secondary user( SU) was proposed to consider the short-term and long-term video transmissions over distributed cognitive radio networks( DCRNs).Since the long-term video transmission consisted of a series of shortterm transmissions, the optimization problem in the video transmission was a composite optimization process. Firstly,considering some factors like primary user's( PU's) collision limitations,non-synchronization between SU and PU,and SU's limited buffer size, the short-term optimization problem was formulated as a mixed integer non-linear program( MINLP) to minimize the block probability of video packets. Secondly,combining the minimum packet block probability obtained in shortterm optimization and SU's constraint on hardware complexity,the partially observable Markov decision process( POMDP) framework was proposed to learn PU's statistic information over DCRNs.Moreover,based on the proposed framework,joint optimization strategy was designed to obtain the minimum packet loss rate in long-term video transmission. Numerical simulation results were provided to demonstrate validity of our strategies.
文摘提出了一种考虑人员占用影响的集成楼宇暖通空调(heating,ventilation and air conditioning,HVAC)负荷群配电电网优化方法。首先,依据建筑围护热阻热容网络和配电网支路潮流方程构建了集成暖通空调负荷群配电网数学模型。其次,利用梯形隶属度函数模糊化占用人数并考虑其对暖通空调负荷温度调控的影响,形成包含占用松弛函数约束的暖通空调负荷群与配电网联合优化方法。最后,通过模型预测控制方法实现了集成楼宇暖通空调负荷群配电网的滚动优化控制。改进的IEEE33节点配电网系统仿真结果表明,所提出的计及占用影响的联合优化模型,在楼宇侧能够满足人员热舒适性,同时减少楼宇暖通空调负荷能耗,在电网侧则减少配电网线路损耗和节点电压的波动,有效提高楼宇侧和电网侧整体的节能水平。
