Title :
Nonlinear model predictive control algorithm based on sensitivities equations
Author :
Ping, Wang ; Xuemin, Tian
Author_Institution :
Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying
Abstract :
A new nonlinear model predictive control algorithm based on sensitivities equations is presented to the problem of nonlinear systems. By analyzing the sensitivities equations of the nonlinear system, a linear approximation of the derivatives information used in on-line optimization is obtained, and then the LM algorithm is used to solve the optimal problem in every sample time. The on-line computation is reduced greatly. The simulation result shows the validity and feasibility of the proposed algorithm.
Keywords :
approximation theory; control system analysis; nonlinear control systems; predictive control; sensitivity analysis; linear approximation; nonlinear model predictive control algorithm; nonlinear systems; on-line optimization; sensitivities equations; Algorithm design and analysis; Approximation algorithms; Computational modeling; Information analysis; Linear approximation; Nonlinear equations; Nonlinear systems; Prediction algorithms; Predictive control; Predictive models; CSTR; Derivatives information; Nonlinear model predictive control; Sensitivities equations;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605094
