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Clark等人提出的广义预测控制自校正控制器是一种基于参数模型的预测控制算法，它采用了时段优化性能指标，结合辨识和自校正机制，从而克服自校正控制中存在的，本代码提供基于丢番图推导的单变量GPC程序-Clark and others proposed self-tuning generalized predictive control is a controller parameter model based predictive control algorithm, it uses time s
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MATLAB模型预测控制工具箱进行模型预测控制器设计的全过程-Model Predictive Control Toolbox for MATLAB model predictive controller design process
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模拟人的思维特点,提出一种新型智能控制器:仿人逻辑预测控制器. 该控制器融合了基于泛布尔代数的逻辑控制器和基于模型的预测控制器的特点, 是一种多值逻辑混合动态系统. Matlab仿真表明, 该控制器在模型匹配时性能良好, 在模型失配时依然能满意运行, 表现出鲁棒性强, 超调量小的特点. 与其它类型人工智能控制器相比, 该控制器结构简单, 物理背景明确, 数学概念清晰, 便于在工业控制领域推广应用.-Simulation of the characteristics of people' s
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a good example of flywheel controlled by model predictive controller
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This paper presents the simulation of a simple First Order plus Delay Time (FOPDT) process model using
advanced control algorithms. Specifically, these advanced algorithms are the IMC-based PID controller, the Model
Predictive Controller (MPC) an
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通过将广义预测控制器转换成模型预测控制器的方法来达到广义预测控制的目的，对学习和使用gpc和mpc非常有用。-The generalized predictive controller converts the model predictive controller to achieve the purpose of generalized predictive control, very useful to learn and use gpc and mpc.
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逻辑预测控制 仿人逻辑预测控制器设计. 该控制器融合了基于泛布尔代数的逻辑控制器和基于模型的预测控制器的特点, 是一种多值逻辑混合动态系统. Matlab仿真表明, 该控制器在模型匹配时性能良好, 在模型失配时依然能满意运行, 表现出鲁棒性强, 超调量小的特点. 与其它类型人工智能控制器相比, 该控制器结构简单, 物理背景明确, 数学概念清晰, 便于在工业控制领域推广应用-Simulating characteristics of human intelligent, a new intelli
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model predictive controller
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Nonlinear model predictive Controller Impimetation
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model predictive controller code. good for general understanding how MOC works
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fast way to compute model predictive controller in matlab.
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Model predictive controller four lectures. including good examples to understand its concept
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MPC (MPC)MODEL PREDICTIVE CONTROLLER
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model predictive controller
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MODEL PREDICTIVE CONTROLLER, nonlinear mpc
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Model predictive controller (MPC) concept is the most widely used of all modern advanced control technique
in many control application. MPC has four important tuning parameters: the weight matrix Λ, the output weight
matrix Γ, the prediction hori
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Model predictive controller (MPC) concept is the most widely used of all modern advanced control technique
in many control application. MPC has four important tuning parameters: the weight matrix Λ, the output weight
matrix Γ, the prediction hori
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机械臂模型预测控制，包含视觉伺服，使用机器人工具箱-Manipulator Simulation Based on Model Predictive Control，including visual servoing，using RTB tool box
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用CARSIM搭建车辆模型，采用模型预测控制器实现轨迹跟踪控制，仿真了无人车对圆形轨迹的跟踪(Using CARSIM to build the vehicle model, using the model predictive controller to realize trajectory tracking control, and simulating the tracking of the circular trajectory by the unmanned vehicle)
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In this study, a current model predictive controller (MPC) is designed for a permanent
magnet synchronous motor (PMSM) where the speed of the motor can be regulated precisely.
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