A NMPC Scheme Based on Stirling's Interpolation Formula Approximation Method
2014 ◽
Vol 530-531
◽
pp. 977-980
Keyword(s):
For a kind of nonlinear system whose input-output function is not differentiable, we proposed a model predictive control scheme based on linearization approximation method. We linearized the object nonlinear system using Stirling's interpolation formula method, and reformulated the control performance index to a quadratic optimization problem, and then, we obtained the optimization control sequences by solving the quadratic optimization problem. In order to reduce the complexity of computation, we ignored the high-order terms associated with the linearization. The simulations show that the presented NMPC scheme can achieve a satisfactory control result, also can decrease the dissipation of control energy and control time.
2013 ◽
Vol 21
(3)
◽
pp. 181-196
◽
2005 ◽
Vol 127
(3)
◽
pp. 485-496
2012 ◽
Vol 56
(4)
◽
pp. 1441-1455
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2006 ◽
Vol 37
(1)
◽
pp. 75-84
◽
2015 ◽
Vol 32
(01)
◽
pp. 1540007
◽