Description: 由于自校正控制器在实际中的广泛运用，其缺点日益明显，主要体现在变阶次、变时延和变参数的系统中，因此研制具有较强的鲁棒性的控制器在实际运用中非常有用。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缺点，具有较强的鲁棒性。-self-tuning controller in practice the widespread use of its increasingly obvious shortcomings, mainly reflected in the change of Order, Variable Delay and change parameters in the system, developed with the robustness of the controller in actual application is very useful. Clark and others put the GPC self-tuning controller is based on the parameters of a model predictive control algorithm, it uses time optimize performance indicators, combining literacy and self-correction mechanism, in order to overcome self-tuning control of the shortcomings, with strong robust. Platform: |
Size: 18432 |
Author:lethe |
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Description: 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 slots to optimize performance, combined with identification and self-tuning mechanism to overcome the self-tuning control that exist, the code provides Diophantine derived based on the single variable GPC procedures Platform: |
Size: 2048 |
Author:李自强 |
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Description: 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 thinking, a new intelligent controller: humanoid logic controller prediction. The controller is based on the integration of pan-Boolean algebra of logic controllers and model-based predictive controller features, is a multi-valued logic hybrid dynamic systems. Matlab simulation show that the controller performance in the model match well when the model mismatch can be satisfied with the operation still showed robust, ultra-tune the characteristics of a small amount. with other types of artificial intelligence controller ratio, the controller structure is simple and clear physical background, the concept of math clear, easy in the field of industrial control application. Platform: |
Size: 267264 |
Author:文豪 |
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Description: 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) and the Proportional-Integral-Plus Controller (PIP) and their performance is compared
with the conventional Proportional – Integral – Derivative (PID) algorithm. The simulations took place using the
Matlab/Simulink™ software.-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) and the Proportional-Integral-Plus Controller (PIP) and their performance is compared
with the conventional Proportional – Integral – Derivative (PID) algorithm. The simulations took place using the
Matlab/Simulink™ software. Platform: |
Size: 433152 |
Author:chris kasta |
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Description: 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 Platform: |
Size: 340992 |
Author:primer |
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Description: 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. Platform: |
Size: 1024 |
Author:王祖德 |
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Description: 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 intelligent controller was produced: Human-simulation Logical Predictive Controller(HLPC). This controller can utilize the advantage both in logical controller based on pan-boolean algebra and model-based predictive controller. It is a multi-logic hybrid dynamic system. Simulated results based on Matlab prove that HLPC shows good performance when predictive model matches and satisfactory results when model mismatches, represents better robustness and small overshoot . Compared with other artificial intelligent controller, HLPC has simple structure, clearly physics background and mathematical concepts, thus would make it easy for industrial application. Platform: |
Size: 58368 |
Author:wuming |
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Description: Model predictive controller four lectures. including good examples to understand its concept Platform: |
Size: 1270784 |
Author:USMAN |
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Description: 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 horizon P and the control horizon M. The control horizon M is the number of MV
moves that MPC calculates at each sampling time to remove the current prediction error Platform: |
Size: 328704 |
Author:azad |
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Description: 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 horizon P and the control horizon M. The control horizon M is the number of MV
moves that MPC calculates at each sampling time to remove the current prediction error Platform: |
Size: 193536 |
Author:azad |
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Description: Abstract—A model predictive controller (MPC) for load fre-
uency control (LFC) of an interconnected power system is
nvestigated. The MPC is based on a simplifi ed system model of
he Nordic power system, and it takes into account limitations
n tie-line power fl ow, generation capacity, and generation rate
f change. The participation factors for each generator are opti-
mization variables, and suggestions are made as to how one can
nsure tie-line power transfer margins through slack-variables, Platform: |
Size: 1337344 |
Author:Gomaa Haroun |
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