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Study on Synthesis Methods for Real-Time Control of Car-Like Mobile Robot

Advances in Intelligent Systems and Computing (2020) 1056 431-441
DOI: 10.1007/978-981-15-0199-9_37
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Abstract

This paper presents a comparative study of synthesis methods for real-time control of an unmanned car-like mobile robot while moving along a given trajectory. Three methods are considered: a feedback control using the PID controller, a model predictive control, and artificial neural networks. A comparison is based on computational experiments. A complex trajectory with crossing paths is considered for path tracking.

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Prokopyev, I., & Sofronova, E. (2020). Study on Synthesis Methods for Real-Time Control of Car-Like Mobile Robot. In Advances in Intelligent Systems and Computing (Vol. 1056, pp. 431–441). Springer. https://doi.org/10.1007/978-981-15-0199-9_37

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