Trajectory Control of Mobile Robot Using Fuzzy Systems and MLP Networks

2016 ◽  
pp. 247-252
Author(s):  
Ivan Nunes da Silva ◽  
Danilo Hernane Spatti ◽  
Rogerio Andrade Flauzino ◽  
Luisa Helena Bartocci Liboni ◽  
Silas Franco dos Reis Alves
Author(s):  
Shubo Liu ◽  
Guoquan Liu ◽  
Shun’an Cao ◽  
Liyu Cheng ◽  
Hang Zou

2021 ◽  
Author(s):  
hafedh Abid

Abstract This paper is interesting to a nonholonomic wheeled mobile robot. We have presented a scheme to develop controllers. Two controllers have been developed. The first concerns the kinematic behavior while the second relates to the dynamic behavior of the mobile robot. For the Kinematic controller, we have used a Takagi-Sugeno fuzzy system to overcome the nonlinearities present in model whereas for the second controller we have used the sliding mode approach. The sliding surface has the identical structure as the proportional integral controller. The stability of system has been proved based on Lyapunov approach. The simulation results show the efficiency of the proposed control laws.


2007 ◽  
Vol 2007 (0) ◽  
pp. _2P1-L01_1-_2P1-L01_4
Author(s):  
Kazuya YOSHIDA ◽  
Keiji NAGATANI ◽  
Yoshito OKADA ◽  
Daisuke ENDO

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Magdalena Muszynska ◽  
Andrzej Burghardt ◽  
Krzysztof Kurc ◽  
Dariusz Szybicki

Abstract In this article, innovative approaches to realization of the wheeled mobile robots and manipulator tracking are presented. Conceptions include application of the neural-fuzzy systems to compensation of the controlled system’s nonlinearities in the tracking control task. Proposed control algorithms work on-line, contain structure, that adapt to the changeable work conditions of the controlled systems, and do not require the preliminary learning. The algorithm was verification on the real object which was a Scorbot - ER 4pc robotic manipulator and a Pioneer - 2DX mobile robot.


1998 ◽  
Vol 31 (22) ◽  
pp. 65-70
Author(s):  
S. Nefti ◽  
J. Pontnau ◽  
M. Soufian ◽  
K. Djouani ◽  
M. Soufian

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