( 2 ) the stability analysis and controller design of fuzzy systems based on t - s state space model were proposed . we present the principle of parallel distributed compensation , and detail the controller design and stability analysis of fuzzy system using linear system theory ( pole placement ) ( 2 )研究了基于t - s模糊状态空间模型的模糊系统稳定性分析和控制器设计方法：给出了并行分布补偿的原理，结合线性控制器设计方法(以极点置为例)实现了模糊系统的稳定性分析与控制器设计。
Linear predictive control techniques can be applied to nonlinear system for it can be regard as linear time - variant system . multi - model was used in predictive horizon to decrease the predictive error and reflect true state of system . objective function was converted to linear quadratic programming and thus avoid huge computational burden ( 3 )研究了基于t - s模糊状态空间模型的非线性模糊预测控制方法：利用t - s模糊建模方法，将非线性系统等价为线性时变系统，然后利用线性系统预测控制方法来实现非线性系统的控制。
Thirdly , a state - space method to model and analyze the class e power amplifier ’ s operation has been present . after the explanation on the state - space model and the design method of class e power amplifier , we implemented class e power amplifier in tsmc 0 . 35 m sige bicmos technology , the simulating results finally proves that the accuracy and feasibility of this method 在此基础上,提出了用状态空间模型来分析e类功率放大器,在阐述了e类功率放大器的状态空间模型和具体的设计方法后,用tsmc0 . 35 msigebicmos工艺验证了设计方法的可行性和准确性。
Recently , withthe rapid improvement of performance of digital processor , sequential monte carlo ( smc ) method has a wide range of application in engineering , especially in signal processing , statistics , and econometrics etc . the time varying systems can be stated in the form of a dynamic state space model . for linear models and gaussian noise , the kalman filter provides analytical expressions for posterior filtering 一般的时变系统都可以被看作是一动态状态空间模型，对于线性高斯模型，卡尔曼滤波可以给出后验密度函数的解析解；而对于非线性非高斯模型，我们则无法得到它的解析解，在这种情况下则可以使用序列蒙特卡罗方法来对其进行近似。
Based on lyapunov stability theory , razumikhin stability theory and convex set theory , also by using linear matrix inequality , matrix analyzing methods and convex programming methods , we studied some kinds of robust control problem for uncertain time delay systems in details 本论文主要基于lyapunov稳定性定理、 razumikhin稳定性定理以及凸集的有关理论，并采用线性矩阵不等式、矩阵分析以及凸规划等工具研究用状态空间模型描述的不确定时滞系统的鲁棒控制问题。
