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bcs-master

于 2021-01-12 发布

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下载积分: 1 下载次数: 15

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代码说明：

说明：贝叶斯压缩感知用于稀疏信号重建，基于贝叶斯理论(Adaptive compressive sensing, Bayesian model selection, compressive sensing (CS), experimental design, relevance vector machine (RVM), sparse Bayesian learning.)

文件列表：

bcs-master, 0 , 2019-03-12
bcs-master\BCS_demo, 0 , 2019-03-12
bcs-master\BCS_demo\approx_results.mat, 60263 , 2019-03-06
bcs-master\BCS_demo\BCS_fast_rvm.m, 5463 , 2016-02-28
bcs-master\BCS_demo\Fig2.m, 2096 , 2016-02-28
bcs-master\BCS_demo\Fig4_ab.m, 1259 , 2016-02-28
bcs-master\BCS_demo\l1qc_logbarrier.m, 3524 , 2018-12-07
bcs-master\BCS_demo\l1qc_newton.m, 4401 , 2018-12-07
bcs-master\BCS_demo\multi_approx_measures.m, 1696 , 2016-02-28
bcs-master\BCS_demo\multi_optimized_measures.m, 1763 , 2016-02-28
bcs-master\BCS_demo\multi_random_measures.m, 1514 , 2016-02-28
bcs-master\BCS_demo\optimized_results.mat, 60238 , 2019-03-06
bcs-master\BCS_demo\random_results.mat, 60084 , 2016-02-28
bcs-master\MT_CS_demo, 0 , 2019-03-12
bcs-master\MT_CS_demo\Fig2.m, 2662 , 2016-02-28
bcs-master\MT_CS_demo\Fig3.m, 1899 , 2016-02-28
bcs-master\MT_CS_demo\mt_CS.m, 6377 , 2016-02-28
bcs-master\MT_CS_demo\multi_results_25.mat, 299828 , 2016-02-28
bcs-master\MT_CS_demo\multi_results_50.mat, 299942 , 2016-02-28
bcs-master\MT_CS_demo\multi_results_75.mat, 300077 , 2016-02-28
bcs-master\MT_CS_demo\multi_runs_25.m, 2569 , 2016-02-28
bcs-master\MT_CS_demo\multi_runs_50.m, 2602 , 2016-02-28
bcs-master\MT_CS_demo\multi_runs_75.m, 2602 , 2016-02-28
bcs-master\README.md, 2413 , 2016-02-28

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说明：锅炉汽包水位控制系统是火力发电厂中的一个重要的热工控制系统，汽包水位的控制大多采用传统PID控制方式。但是，传统PID控制器参数的整定是在获取对象数学模型的基础上，根据某一整定规则来确定的，不能进行在线调整，难以适应锅炉汽包水位这样一个复杂多变的控制系统，其控制效果往往难以满足要求。本文应用模糊控制技术，设计了一种二输入三输出模糊自整定PID控制器，对锅炉汽包水位进行控制，实现了PID参数的自适应调节。利用MATLAB对控制系统进行仿真。结果表明，该控制器自整定能力及鲁棒性比传统PID控制器更强，响应速度快、精度高，同时对虚假水位有较好的控制效果。(Boiler water level control system is an important thermal power plant in the thermal control system, boiler water level Control most of the traditional PID control method. However, the traditional PID controller tuning parameters for objects in mathematics Model based on the rules to determine a whole and can not be adjusted online, it is difficult to adapt to the boiler drum Water level control such a complex system, its control effect is often difficult to meet the requirements. In this paper, fuzzy control technology, designed a two input and three output fuzzy self-tuning PID controller, the pot Steam drum level control, the PID parameters to achieve the adaptive regulation. The control system using MATLAB Simulation. The results show that the controller auto-tuning capability and robustness more than the traditional PID controller, fast response, High precision, while the water level has better control of false results.)

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