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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive 0 J. s0 L. i1 E
Dynamic Programming
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; v }) a$ e' a; i+ @$ cA novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency 1 ?6 C) z p+ z0 |6 T; Z
is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on # l0 u$ q- v$ f8 \" B$ k; m/ c1 W
the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
g+ M/ V) m+ u6 Y" W, pof vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the# E3 ^1 z( h* V% j; f; T. A8 `7 N% L
optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using 0 [0 k; [+ C( S
Matlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth
9 F# [; ], W& |$ _1 I7 W; ycontroller for autonomous vehicles' system. " L% ]3 j$ C( ]( V. R9 z( I5 i5 v2 D
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