▍1. solve
this code is solution of optimal control
LTE链路仿真 LTE链路仿真 LTE链路仿真(Link Simulation LTE LTE LTE link Link Simulation Simulation)
LTE链路仿真 LTE链路仿真 LTE链路仿真(Link Simulation LTE LTE LTE link Link Simulation Simulation)
LTE系统仿真 LTE系统仿真 LTE系统仿真(LTE system simulation LTE system simulation LTE system simulation)
LTE系统仿真 LTE系统仿真 LTE系统仿真(LTE system simulation LTE system simulation LTE system simulation)
LTE链路和系统仿真 LTE链路和系统仿真 LTE链路和系统仿真(Link and system simulation LTE LTE LTE link link and system simulation and system simulation)
LTE链路和系统仿真 LTE链路和系统仿真 LTE链路和系统仿真(Link and system simulation LTE LTE LTE link link and system simulation and system simulation)
LTE模型 LTE模型 LTE模型 LTE模型(LTE LTE model model model LTE LTE model)
LTE模型 LTE模型 LTE模型 LTE模型(LTE LTE model model model LTE LTE model)
LTE matlab仿真 LTE matlab仿真 LTE matlab仿真(LTE matlab simulation LTE matlab simulation LTE matlab simulation)
LTE matlab仿真 LTE matlab仿真 LTE matlab仿真(LTE matlab simulation LTE matlab simulation LTE matlab simulation)
matlab COM组件和MFC的混合编程(matlab COM component and MFC programming mix)
matlab COM组件和MFC的混合编程(matlab COM component and MFC programming mix)
Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy logic toolbox of MATLAB, the system has been simulated. The simulation results show that the Fuzzy PI-Smith system has faster response speed and smaller overshoot than the traditional PI-Smith system.The explicit formulation of Fuzzy PI-Smith system is derived, and it lay the basis for the practical application of control algorithms.
Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy logic toolbox of MATLAB, the system has been simulated. The simulation results show that the Fuzzy PI-Smith system has faster response speed and smaller overshoot than the traditional PI-Smith system.The explicit formulation of Fuzzy PI-Smith system is derived, and it lay the basis for the practical application of control algorithms.strategy can do well in controlling the tail temperature. And the FuzzyPI-Smith system can get better dynamic characteristic and effectively overcome the problems by pure lag with the traditional ( Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy logic toolbox of MATLAB, the system has been simulated. The simulation results show that the Fuzzy PI-Smith system has faster response speed and smaller overshoot than the traditional PI-Smith system.The explicit formulation of Fuzzy PI-Smith system is derived, and it lay the basis for the practical application of control algorithms. strategy can do well in controlling the tail temperature. And the FuzzyPI-Smith system can get better dynamic characteristic and effectively overcome the problems by pure lag with the traditional )
基于MATLAB的28节点辐射状的前推回代法 基于MATLAB的28节点辐射状的前推回代法(Forward and backward substitution method based on MATLAB 28 node radial radial ago 28 node based on MATLAB and backward substitution method)
LMS最小均方算法,作为自适应滤波以及自适应均衡过程的一个评估准则(LMS least mean square algorithm as an adaptive filtering and adaptive equalization process assessment criteria)