Description: Demostration of example 6.2: Constrained Receding Horizon Control
Example retired from the book: Receding Horizon Control - Model Predictive Control for State Models
published on 2007-03-28
-6.2 Demostration of example : Constrained to avoid capture Control Example retired from the book : avoid capture Control-Model Predictive Co. ntrol for State Models published on 2007-03-28 Platform: |
Size: 3426 |
Author:宏姬 |
Hits:
Description: Demostration of example 6.2: Constrained Receding Horizon Control
Example retired from the book: Receding Horizon Control - Model Predictive Control for State Models
published on 2007-03-28
-6.2 Demostration of example : Constrained to avoid capture Control Example retired from the book : avoid capture Control-Model Predictive Co. ntrol for State Models published on 2007-03-28 Platform: |
Size: 3072 |
Author:宏姬 |
Hits:
Description: C++语言的最优控制软件，C++语言开发，非常好用-ACADO Toolkit- An Open-Source Framework for Automatic Control and Dynamic Optimization
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly Matlab interfaces. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines. Platform: |
Size: 1669120 |
Author:tongkewei |
Hits:
Description: cstr状态反馈预测控制模型
matlab中S函数建立-cstr state feedback model predictive control matlab function in the establishment of S Platform: |
Size: 7168 |
Author:Arlisdoder |
Hits:
Description: 提出了基于有限脉冲响应(FIR)模型的预测函数控制(PFC)算法,给出了采用1个基函数(阶跃函数)和2个基函数(阶跃函数、斜坡函数)的控制律的解析解,分析了闭环系统稳态特性,结果表明,系统对于设定值变化和输出扰动均无余差.结合该算法、T-S模糊建模和自适应控制技术,提出了模糊自适应预测函数控制(FAPFC)策略-Proposed based on finite impulse response (FIR) model predictive functional control (PFC) algorithm is given using a base function (step function) and two basis functions (step function, ramp function) analytic control law solution, steady-state analysis of the closed-loop system characteristics, the results show that the system output for setpoint changes and disturbances were not more than poor. combined with the algorithm, TS fuzzy modeling and adaptive control techniques proposed fuzzy adaptive predictive functional control (FAPFC ) strategy Platform: |
Size: 1024 |
Author:liuda |
Hits:
Description: 预测模型为状态空间模型预测函数控制MATLAB程序，包括一阶、二阶、高阶跟踪阶跃，斜坡-Prediction model for the state space model predictive functional control MATLAB procedures, including first, second, high-tracking step, ramp Platform: |
Size: 7168 |
Author:王晓 |
Hits:
Description: ACADO Toolkit is a software environment and algorithm collection written in C++ for au-tomatic control and dynamic optimization. It provides a general framework for using a great
variety of algorithms for direct optimal control, including model predictive control as well
as state and parameter estimation. It also provides (stand-alone) eciently implemented
Runge-Kutta and BDF integrators for the simulation of ODE s and DAE s. Platform: |
Size: 4240384 |
Author:sharan |
Hits:
Description: 求解已知CARMA模型的预测值，根据丢番方程，已知模型和预测步长，根据最小二乘原则求解未来某时刻的状态。-Solving known CARMA model predictive value, based on the Diophantine equation, known model and prediction step, the principle of solving the state for a time in the future based on least squares. Platform: |
Size: 1024 |
Author:王皓 |
Hits:
Description: 风功率预测控制 模型预测控制；状态空间；预测控制算法-Wind power prediction control model predictive control state space predictive control algorithm Platform: |
Size: 1024 |
Author:王伟 |
Hits:
Description: 使用基于状态空间的模型预测控制，对四旋翼模型进行控制，实现了稳定的控制效果。并且有simulink模型作为参考。-Using the model predictive control based on state space, the four rotor model is controlled to achieve a stable control effect. And there are Simulink model as a reference. Platform: |
Size: 10240 |
Author:周杰 |
Hits:
Description: 三相电压型PWN整流器的基于模型预测的直接功率控制，稳态时，直流电压纹波小，交流侧电流谐波含量小，功率因素为1-Three phase voltage source PWN rectifier based on the model predictive direct power control, steady state, the DC voltage ripple is small, the AC side current harmonic content is small, the power factor is 1 Platform: |
Size: 21504 |
Author:张伟 |
Hits:
Description: 有约束条件下的模型预测控制，约束条件主要有状态约束和系统输入约束-There are model predictive control, constraints under constraints mainly state constraints and system input constraints Platform: |
Size: 1024 |
Author:浮尘 |
Hits:
Description: 一篇非常有用状态空间预测控制的文献，该文献用状态空间模型建立系统的预测输出.-A very useful state space predictive control documents, the paper established system of forecasting the output state space model. Platform: |
Size: 1682432 |
Author:施惠元 |
Hits:
Description: ACADO工具包是一个软件环境和算法集自动控制和动态优化。它为直接优化控制提供了多种算法，包括模型预测控制、状态参数估计和鲁棒优化。(ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.) Platform: |
Size: 35134464 |
Author:xiaoranzeng |
Hits:
Description: 外国人编写的模型预测控制方面的教材，里边有很多关于状态空间模型的仿真实例以及仿真程序。(Foreigners written materials about the model predictive control, and inside there are many examples of simulation and emulation program on state space model.) Platform: |
Size: 3340288 |
Author:最坚强的泡沫 |
Hits:
Description: 模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.) Platform: |
Size: 35840 |
Author:不同 |
Hits:
Search - state model predictive