DocumentCode :
2497991
Title :
N-step optimal time-invariant trajectory tracking control for a class of nonlinear systems
Author :
Song, Ruizhuo ; Zhang, Huaguang
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
184
Lastpage :
189
Abstract :
In this paper, the time-invariant trajectory tracking control problem under N-step control is solved by finite horizon approximate dynamic programming (ADP) algorithms. At first, we convert the tracking control problem for time-invariant trajectory into a output regulation problem. The cost function guarantees the energy is minimum. Secondly, the regulation control scheme is proposed using finite horizon ADP technique to obtain the N-step control. Then two theorems are used to prove the convergence of the proposed control algorithm. Finally, the simulation is given to demonstrate the effectiveness and feasibility of the control scheme.
Keywords :
approximation theory; dynamic programming; nonlinear control systems; optimal control; position control; regulation; tracking; N-step optimal time-invariant trajectory tracking control; finite horizon ADP technique; finite horizon approximate dynamic programming algorithms; nonlinear systems; output regulation problem; regulation control scheme; Convergence; Cost function; Dynamic programming; Mathematical model; Nonlinear systems; Optimal control; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Adaptive Dynamic Programming And Reinforcement Learning (ADPRL), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9887-1
Type :
conf
DOI :
10.1109/ADPRL.2011.5967354
Filename :
5967354
Link To Document :
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