This paper addresses the robust input-output energy decoupling problem for uncertain singular systems in which all parameter matrices except E exist as time-varying uncertainties. By means of linear matrix inequalitie...This paper addresses the robust input-output energy decoupling problem for uncertain singular systems in which all parameter matrices except E exist as time-varying uncertainties. By means of linear matrix inequalities (LMIs), sufficient conditions are derived for the existence of linear state feedback and input transformation control laws, such that the resulting closed-loop uncertain singular system is generalized quadratically stable and the energy of every input controls mainly the energy of a corresponding output, and influences the energy of other outputs as weakly as possible. Keywords Uncertain singular systems - generalized quadratical stability - input-output energy decoupling - linear matrix inequality (LMI) Xin-Zhuang Dong graduated from the Institute of Information Engineering of People’s Liberation Army, China, in 1994. She received the M. S. degree from the Institute of Electronic Technology of People’s Liberation Army, in 1998 and the Ph.D. degree from Northeastern University, China, in 2004. She is currently a post-doctoral fellow at the Key Laboratory of Systems and Control, CAS.Her research interests include singular and nonlinear systems, especially the control of singular systems such as H ∞ control, passive control and dissipative control. Qing-Ling Zhang received the Ph.D. degree from Northeastern University, China, in 1995. He is currently a professor with the Institute of Systems Science, Northeastern University. His research interests include singular systems, fuzzy systems, decentralized control, and H 2/H ∞ control.展开更多
现有的面阵场景下的频控阵(Frequency Diverse Array,FDA)MIMO雷达参数估计方法大多需要进行谱峰搜索,因此面临计算复杂度高、估计精度不够准确等困难。针对这一问题,提出了一种基于均匀面阵FDA-MIMO雷达的无网格参数估计方法。首先推...现有的面阵场景下的频控阵(Frequency Diverse Array,FDA)MIMO雷达参数估计方法大多需要进行谱峰搜索,因此面临计算复杂度高、估计精度不够准确等困难。针对这一问题,提出了一种基于均匀面阵FDA-MIMO雷达的无网格参数估计方法。首先推导了角度和距离解耦的均匀面阵FDA-MIMO雷达模型,其次提出了适用于该模型的基于低秩矩阵重构的优化问题,并推导了基于交替投影的算法实现,以加快计算速度。最后通过仿真实验验证了所提算法在计算复杂度较低的同时具有较高的估计精度。展开更多
文摘This paper addresses the robust input-output energy decoupling problem for uncertain singular systems in which all parameter matrices except E exist as time-varying uncertainties. By means of linear matrix inequalities (LMIs), sufficient conditions are derived for the existence of linear state feedback and input transformation control laws, such that the resulting closed-loop uncertain singular system is generalized quadratically stable and the energy of every input controls mainly the energy of a corresponding output, and influences the energy of other outputs as weakly as possible. Keywords Uncertain singular systems - generalized quadratical stability - input-output energy decoupling - linear matrix inequality (LMI) Xin-Zhuang Dong graduated from the Institute of Information Engineering of People’s Liberation Army, China, in 1994. She received the M. S. degree from the Institute of Electronic Technology of People’s Liberation Army, in 1998 and the Ph.D. degree from Northeastern University, China, in 2004. She is currently a post-doctoral fellow at the Key Laboratory of Systems and Control, CAS.Her research interests include singular and nonlinear systems, especially the control of singular systems such as H ∞ control, passive control and dissipative control. Qing-Ling Zhang received the Ph.D. degree from Northeastern University, China, in 1995. He is currently a professor with the Institute of Systems Science, Northeastern University. His research interests include singular systems, fuzzy systems, decentralized control, and H 2/H ∞ control.
文摘现有的面阵场景下的频控阵(Frequency Diverse Array,FDA)MIMO雷达参数估计方法大多需要进行谱峰搜索,因此面临计算复杂度高、估计精度不够准确等困难。针对这一问题,提出了一种基于均匀面阵FDA-MIMO雷达的无网格参数估计方法。首先推导了角度和距离解耦的均匀面阵FDA-MIMO雷达模型,其次提出了适用于该模型的基于低秩矩阵重构的优化问题,并推导了基于交替投影的算法实现,以加快计算速度。最后通过仿真实验验证了所提算法在计算复杂度较低的同时具有较高的估计精度。
