2007
DOI: 10.1016/j.na.2006.01.021
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Optimal output tracking control for nonlinear systems via successive approximation approach

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Cited by 25 publications
(15 citation statements)
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“…(16) Theorem 1 Considering the OTC problem described by (9) and (10), the OTC lawũ * i (t) can be rewritten by…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…(16) Theorem 1 Considering the OTC problem described by (9) and (10), the OTC lawũ * i (t) can be rewritten by…”
Section: Resultsmentioning
confidence: 99%
“…The OTC problem of nonlinear subsystems always leads to a high-order coupling and nonlinear TPBV problem. However, this problem is impossible to be solved analytically [9]. We obtain the OTC law of nonlinear subsystems by the sensitivity approach whose calculation is smaller than the successive approximation approach [10].…”
Section: Introductionmentioning
confidence: 99%
“…However, nearly all practical systems contain nonlinearities, there would exist some difficulties if optimal control is applied to handling nonlinear problems (Chiou & Huang, 2005;Ho, 2007Tang et al, 2007).In this section, the global robust optimal sliding mode controller (GROSMC) is designed based on feedback linearization for a class of MIMO uncertain nonlinear system.…”
Section: Optimal Sliding Mode Control For Uncertain Nonlinear Systemmentioning
confidence: 99%
“…The major contribution of this research is the avoidance of on-line computation of the differential (or algebraic) Riccati equations. The SAA has been successfully applied to solving the optimal control problem of nonlinear and bilinear discretetime systems as in [9,10] and the optimal output tracking control problem of nonlinear systems as in [11].…”
Section: Introductionmentioning
confidence: 99%
“…The feedforward control law can be calculated accurately and can be physically realized, while an exosystem state observer is constructed to make the feedforward control law physically realizable [11]. By using SAA, the coupled nonlinear TPBV problem leading by the application of the minimum principle is transformed into a linear TPBV problem sequence including a sequence of linear adjoint vector differential equations and a sequence of linear state vector differential equations.…”
Section: Introductionmentioning
confidence: 99%