Neuro-fuzzy predictive control for nonlinear applicationOA
Neuro-fuzzy predictive control for nonlinear application
Aiming at the unsatisfactory dynamic performances of conventional model predictive control (MPC) in a highly nonlinear process, a scheme employed the fuzzy neural network to realize the nonlinear process is proposed. The neur…查看全部>>
Aiming at the unsatisfactory dynamic performances of conventional model predictive control (MPC) in a highly nonlinear process, a scheme employed the fuzzy neural network to realize the nonlinear process is proposed. The neuro-fuzzy predictor has the capability of achieving high predictive accuracy due to its nonlinear mapping and interpolation features, and adaptively updating network parameters by a learning procedure to re-duce the model errors caused by …查看全部>>
CHEN Dong-xiang;WANG Gang;LV Shi-xia
School of Mechanical Engineering, Tianjin University, Tianjin 300072 ,ChinaSchool of Mechanical Engineering, Tianjin University, Tianjin 300072 ,ChinaSchool of Mechanical Engineering, Tianjin University, Tianjin 300072 ,China
信息技术与安全科学
model predictive controlfuzzy neural networknonlinear optimizationadaptive control
model predictive controlfuzzy neural networknonlinear optimizationadaptive control
《哈尔滨工业大学学报（英文版）》 2008 (6)
763-766,4
Sponsored by the National Electric Power Corporation Foundation of China(Grant No. SPKJ010-27).
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