Trajectory tracking control of farm vehicles in presence of sliding

Evaluation and stability comparison of different vehicle configurations for robotic agricultural operations on side-slopes

“…Most of the systems are still at the development stage and not yet available on the market. Considering that agricultural machines usually operate on uneven terrain, giving autonomous or remotely-operated agricultural robots the capability of travelling and performing different tasks on different surfaces is a challenge (Ejiri, 1996;Fang et al, 2011;Fang, Fan, Thuilot, & Martinet, 2006;Khot, Tang, Steward, & Han, 2008;Tarokh, Ho, & Bouloubasis, 2013). The use of robots in agriculture can help solve many problems of operational sustainability related to the management of field processes in many contexts (Fumagalli et al, 2012) but it has particular significance to the safety issues related to the use of machines on steep slopes (Khot et al, 2008;Kise & Zhang, 2006).…”

Function Approximation-based Sliding Mode Adaptive Control for Time-varying Uncertain Nonlinear Systems

“…2005; Fang et al, 2006;Chiang et al, 2007), neural network technique (Yang & Calise, 2007;Fu & Chai, 2007;Zhou et al, 2007Tang et al, 2007 and fuzzy method (Hsu & Lin, 2005;Huang & Chen, 2006;Liu & Wang, 2007). For instance, combining a linear nominal controller with an adaptive compensator, Ruan (2007) and Hovakimyan (2006) realized the high performance stabilizing of inverted pendulum with un-modeling nonlinear dynamics.…”

“…At present, many adaptive control methods for nonlinear uncertain system whose uncertainty satisfies some conditions (Barmish & Leitmann, 1982;Chen & Huang, 1987) or the bound of uncertainty satisfies strict conditions have been developed (L. G. Wu et al, 2006;Z. J. Wu et al, 2007;Fang et al, 2006;Chiang et al, 2007). These research problems are hotspot in the control realm, and some results have been obtained through years of hard work of researchers Chen & Huang, 2005;Huang & Liao, 2006;Liang et al, 2008).…”

Precision coordination and motion control of multiple systems via iterative learning control

“…Examples of multiple systems coupled through a common outcome which perform the same task repetitively can be found in manufacturing applications [15,20,21], surveying [88,89], and agricultural applications such as crop dusting and spraying, [23].…”

“…Examples of multiple systems coupled through a common outcome which perform the same task repetitively can be found in manufacturing [15,20,21], target tracking [22], and agricultural applications such as crop dusting and spraying [23]. The research in this dissertation focuses on applications in manufacturing.…”