Design of Fractional-Order Controller for Trajectory Tracking Control of a Non-holonomic Autonomous Ground Vehicle

Aboelela, Ma S, Ahmed, M. F., & Dorrah, H. T. (2012). Design of aerospace control systems using fractional PID controller. Journal of Advanced Research, 3(3), 225–232.

Aldair, A. A., & Wang, W. J. (2010). Design of fractional order controller based on evolutionary algorithm for a full vehicle nonlinear active suspension systems. International Journal of Control and Automation, 3(4), 33–46.

Al-Mayyahi, A., Wang, W., & Birch, P. (2015). Path tracking of autonomous ground vehicle based on fractional order PID controller optimized by PSO In 13th IEEE International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 109–114.

Al-Mayyahi, A., Wang, W., & Birch, P. (2014). Adaptive neuro-fuzzy technique for autonomous ground vehicle navigation. Robotics, 3(4), 349–370.

Cao, J., & Cao, B. ( 2006). Design of Fractional Order Controllers Based on Particle Swarm Optimization. In 1st IEEE Conference on Industrial Electronics and Applications, pp. 1 – 6.

Cao, J., Liang, J. I. N., & Cao, B. (2005). Optimization of Fractional Order PID Controllers Based on Genetic Algorithms. In The fourth International Conference on Machine Learning and Cybernetics, pp. 5686–5689.

Chen, Y., Petr, I., & Xue, D. (2009). Fractional Order Control - A Tutorial, In American Control Conference, pp. 1397– 1411.

Fierro, R., & Lewis, F. L. (1997). Control of a nonholonomic mobile robot?: Backstepping kinematics into dynamics. Journal of Robotic Systems, 14(3), 149–163.

Fierro, R., & Lewis, F. L. (1998). Control of a nonholonomic mobile robot using neural networks. IEEE Transactions on Neural Networks, 9(4), 589–600.

Huang, J., Wen, C., Wang, W., & Jiang, Z.-P. (2014). Adaptive output feedback tracking control of a nonholonomic mobile robot. Automatica, 50(3), 821–831.

Lee, C.-H., & Chang, F.-K. (2010). Fractional-order PID controller optimization via improved electromagnetism-like algorithm. Expert Systems with Applications, 37(12), 8871– 8878.

Monje, C. A., Chen, Y., Vinagre, B. M., Xue, D., & Feliu, V. (2010). Fractional-order systems and controls fundamentals and applications. New York: Springer.

Normey-Rico, J. E., Alcalá, I., Gómez-Ortega, J., & Camacho, E. F. (2001). Mobile robot path tracking using a robust PID controller. Control Engineering Practice, 9(11), 1209–1214.

Peng, J., Yu, J., & Wang, J. (2014). Robust adaptive tracking control for nonholonomic mobile manipulator with uncertainties. ISA Transactions, 53(4), 1035–1043.

Ramezanian, H., & Balochian, S. (2013). Optimal design a fractional-order PID controller using particle swarm optimization algorithm. International Journal of Control and Automation, 6(4), 55–68.

Resende, C. Z., Carelli, R., & Sarcinelli-Filho, M. (2013). A nonlinear trajectory tracking controller for mobile robots with velocity limitation via fuzzy gains. Control Engineering Practice, 21(10), 1302–1309.

Ugalde-loo, C. E., Liceaga-castro, E., & Liceaga-castro, J. (2005). “2x2 Individual Channel Design MATLAB Toolbox, In 44th IEEE Conference on Decision and Control, pp. 7603–7608.

Vivero, O., & Liceaga-Castro, J. (2008). MIMO Toolbox for Matlab, in Student Paper. Annual IEEE Conference, 2008, pp. 1–5.

Wang, J., Lu, Z., Chen, W., & Wu, X. (2011). An Adaptive Trajectory Tracking Control of Wheeled Mobile Robots. In The sixth IEEE Conference on Industrial Electronics and Applications, 3, pp. 1156–1160.

Zamani, M., Karimi-Ghartemani, M., Sadati, N., & Parniani, M. (2009). Design of a fractional order PID controller for an AVR using particle swarm optimization. Control Engineering Practice, 17(12), 1380–1387.

Zhang, Y., Gong, D., & Zhang, J. (2013). Robot path planning in uncertain environment using multi-objective particle swarm optimization. Neurocomputing, 103, 172–185.

Zhang, Y., Liu, G., & Luo, B. (2014). Finite time cascaded tracking control approach for mobile robots. Information Sciences, 284, 31–43.

Zhao, P., Chen, J., Song, Y., Tao, X., Xu, T., & Mei, T. (2012). Design of a control system for an autonomous vehicle based on adaptive-PID. International Journal of Advanced Robotic Systems, 9(44), 1.