Adaptive prediction-based control for an ecological cruise control system on curved and hilly roads

Author:

Lin Yu-Chen1,Nguyen Ha Ly Thi2,Balas Valentina Emilia3,Lin Tsung-Chih4,Kuo I-Chun5

Affiliation:

1. Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan

2. Ph.D. Program in Electrical and Communications Engineering, Feng Chia University, Taichung, Taiwan

3. Automatics and Applied Software Department Aurel Vlaicu University of Arad, Romania

4. Department of Electronic Engineering, Feng-Chia University, Taichung, Taiwan

5. Electronic Control Technology Group, R&D Division, Automotive Research & Testing Center, Changhua, Taiwan

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference29 articles.

1. International Energy Agency, Energy technology perspective 2017 catalysing energy technology transformations, International Energy Agency (2017).

2. Figueiredo L. , Jesus I. , Machado J.T. , Ferreira J.R. and De Carvalho J.M. , Towards the development of intelligent transportation systems, Proceedings of the IEEE Intelligent Transportation Systems Conference, 2001, 1206–1211.

3. A global optimal solution to the eco-driving problem;Padilla;IEEE Control Systems Letters,2018

4. Model predictive control based eco-driving strategy for connected autonomous vehicle;Wang;IET Intelligent Transport Systems,2019

5. Flexible spacing adaptive cruise control using stochastic model predictive control;Moser;IEEE Transactions on Control Systems Technology,2018

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