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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive " Q" C. \; \% a- C* S) r0 `
Dynamic Programming * }+ q" Y2 N: e$ U, u. h
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A novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency
& l$ d, _ L- D2 r/ jis an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
3 | e& f; k8 r4 ethe road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
' m% y5 G- T- I& [5 a- S& E1 j, uof vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the
3 |" |9 M4 O( l5 K3 a" V3 E- _optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using 2 x! y2 z, `+ h: d* ~% L4 T( i0 [
Matlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth ' I5 J4 ~& [2 V7 R$ b
controller for autonomous vehicles' system. 8 q! ~# R4 I! n" {
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