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  • 所属机构名称：华北电力大学
  • 会议名称：Control Conference (CCC), 2014 33rd Chinese
  • 时间：2014
  • 成果类型：会议
  • 相关项目：热力发电系统节能与优化控制基础研究
作者： Zhu M|Liu J|Lin Z|
同会议论文项目
热力发电系统节能与优化控制基础研究
期刊论文 126 会议论文 27 获奖 2 专利 14
同项目会议论文
Determination of the principal components for the optimal detection performance of a combined index
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A Weighted Double Loop Control Structure
Data-driven Nonlinear Control of a Solid Oxide Fuel Cell System
Analysis on nonlinearity of load-pressure-water level dynamic model for coordinated control system i
Fuzzy Modeling and Control of Boiler-Turbine Unit Using Clustering and Subspace Method
A New Robust Least Squares Support Vector Machine for Regression with Outliers
Passivity and Feedback Design of Nonlinear Markovian Jump Systems
Full-State Feedback Linearization and Backstepping Control of Nonlinear Markovian Jump Systems
A New Measurement Model for Main Steam Flow of Power Plants
Soft Sensor Modeling for the Vacuum Characteristics of a Direct Air-Cooled Turbine Unit by Using Mec
Study on Algorithm for Soft Computing Coal-Fired Calorific Value of Utility Boiler
Soft Sensor Modeling for the Efficiency of Steam Turbine Last Stage Group Using Support Vector Machi
Optimizing the Excess Air Ratio of Coal-Fired Boiler
Comparison of Artificial Neuro Network, Least Squares Support Vector Machine and Partial Least Squar
A block receding horizon control of reheated steam temperature system based on multi-objective optim
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Disturbance modeling and offset-free predictive control for solid oxide fuel cell
Stable model predictive control based on TS fuzzy model with application to boiler-turbine coordinat
New Combination Strategy of Genetic and Tabu Algorithm An Economic Load Dispatching Case Study
On power plant load dispatching strategy prevents frequent mills operation
Immune based chaotic artificial bee colony multiobjective optimization algorithm
Regression forecast of main steam flow based on mean impact value and support vector regression
Stability fuzzy controller design for affine fuzzy systems using a descriptor system approach