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- nonlinear matrix inequality (NLMI) 非线性矩阵不等式（NLMI）
- nonlinear matrix inequality(NLMI) 非线性矩阵不等式
- Firstly, based on the nonlinear matrix inequality (NLMI) approach, the sufficient condition under which the unforced uncertain systems are robustly passive is derived; 首先，基于非线性矩阵不等式方法得到系统是鲁棒无源的充分条件；
- nonlinear matrix inequality 非线性矩阵不等式
- Key words Constrained nonlinear system Robust predictive control LPV embedding linear matrix inequality semi-definite programming polyhedral invariant set. 本刊中 包含“约束非线性系统; 鲁棒预测控制; LPV蕴含; 线性矩阵不等式; 半定规划; 多面体不变集.
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- These conditions are expressed via the linear matrix inequality(LMI). 基于线性矩阵不等式(LMI)处理方法，给出了分散控制器存在的充分条件。
- The sufficient condition equals to the solvability of a kind of linear matrix inequality (LMI). 此充分条件等价于一类线性矩阵不等式(LMI)的可解性。
- Firstly, a new delay-dependent passivity condition in terms of linear matrix inequality is proved. 针对标称系统，利用线性矩阵不等式给出其时滞依赖无源性条件；
- Stabilization conditions in the form of linear matrix inequality(LMI) are established. 建立了可由线性矩阵不等式(LMI)表示的镇定条件。
- Once this condition is feasible, a strict linear matrix inequality (LMI) design approach is developed with an explicit expression for decentralized state feedback controller. 当这组条件可解时，给出了分散状态反馈控制器的严格线性矩阵不等式设计方法和控制律的表达式。
- By using Lyapunov stable theory, the gain of the observer can be obtained by solving a line matrix inequality (LMI) in Matlab LMI toolbox. 应用Lyapunov稳定性理论,观测器的增益借助于Matlab中的LMI工具箱求解线性矩阵不等式得到。
- By using a saturated feedback control structure, the control law is obtained by solving a linear matrix inequality (LMI) optimization problem on-line. 初始时刻优化问题的可行性保证了闭环控制系统的鲁棒稳定性。
- The solvable condition of this optimization problem and further the solutions are derived by employing linear matrix inequality techniques. 应用线性矩阵不等式技术，给出并证明了该解存在条件和求解方法。
- The proposed criterion is formulated in terms of a linear matrix inequality (LMI) with some model transformation techniques and decomposition method. 主要结果可估测延迟时间且为时延相关稳定准则。
- Then, the Lyapunov function and linear matrix inequality (LMI) methods are used to derive a sufficient condition for the asymptotical stability of the hybrid system. 然后采用李亚普诺夫函数、线性矩阵不等式的方法推导出了该混合系统渐近稳定的一个充分条件。
- Then, the Lyapunov function, linear matrix inequality (LMI) methods were used to derive a sufficient condition, which could ensure that the NCS was asymptotically stable. 然后采用李亚普诺夫函数、线性矩阵不等式的方法推导出了该网络化控制系统渐近稳定的充分条件。
- The concept of parallel distributed compensation (PDC) and linear matrix inequality (LMI) are employed to design an output feedback controller for T-S fuzzy models. 然后采用平行分布补偿法(PDC)和线性矩阵不等式方法(LMI)，研究了该类输出反馈控制器的解析设计方法。
- For the external disturbances and the approximation errors, a linear matrix inequality (LMI) problem is then solved to guarantee the robustness of the closed-loop. 对于系统不确定外界干扰和模糊系统的逼近误差，通过求解一个线性矩阵不等式来保证闭环系统的鲁棒稳定性。
- Based on the impulsive theory and linear matrix inequality technique, a sufficient condition for the impulsive synchronization of chaotic dynamical systems is derived. 利用脉冲控制理论和线性矩阵不等式的方法，得到了关于混沌系统脉冲同步的一个充分条件。
