Investigation of Internal Model for Unmanned Vehicle Control in Case of Its Aggressive Motion along a Spatial Trajectory
Author:
Affiliation:
1. Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, 44 bld. 2, Vavilova Str., 119333 Moscow, Russia
2. Engineering Academy, RUDN University, 6 Miklukho-Maklaya St., 117198 Moscow, Russia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/33/1/38/pdf
Reference8 articles.
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2. Pupkov, K.A., Egupov, N.D., and Trofimov, A.I. (1998). Statisticheskie Metody Analiza, Sinteza i Identifikacii Nelinejnyh Sistem Avtomaticheskogo Upravleniya, BMSTU. (In Russian).
3. Liu, G.P. (2012). Nonlinear Identification and Control: A Neural Network Approach, Springer.
4. A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles;Paden;IEEE Trans. Intell. Veh.,2016
5. Mehta, B.R., and Reddy, Y.J. (2015). Industrial Process Automation Systems, Butterworth-Heinemann.
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