Adaptive sliding-mode attitude control for autonomous underwater vehicles with input nonlinearities

Annamalai, 2015, Robust adaptive control of an uninhabited surface vehicle, J. Intell. Robot. Syst., 78, 319, 10.1007/s10846-014-0057-2

Ashrafiuon, 2008, Sliding-mode tracking control of surface vessels, IEEE Trans. Ind. Electron., 55, 4004, 10.1109/TIE.2008.2005933

Chen, 2015, Adaptive neural output feedback control of uncertain nonlinear systems with unknown hysteresis using disturbance observer, IEEE Trans. Ind. Electron., 62, 7706, 10.1109/TIE.2015.2455053

Chen, Mou, Ge, Shuzhi Sam, Choo, Yoo Sang, 2009. Neural network tracking control of ocean surface vessels with input saturation. In: IEEE International Conference on Automation and Logistics, 2009, ICAL '09, pp. 85–89, August.

Chu, 2014, Fault reconstruction of thruster for autonomous underwater vehicle based on terminal sliding mode observer, Ocean Eng., 88, 426, 10.1016/j.oceaneng.2014.06.015

Chu, 2016, Observer-based adaptive neural network trajectory tracking control for remotely operated vehicle, IEEE Trans. Neural Netw. Learn. Syst, 10.1109/TNNLS.2016.2544786

Deng, 2015, Robust adaptive asymptotic tracking control of a class of nonlinear systems with unknown input dead-zone, J. Frankl. Inst., 352, 5686, 10.1016/j.jfranklin.2015.09.013

Dougherty, F., Sherman, T., Woolweaver, G., Lovell, G., 1988. An autonomous underwater vehicle (AUV) flight control system using sliding mode control. In: Proceedings of OCEANS '88. A Partnership of Marine Interests, Baltimore, MD, pp. 1265–1270, October.

Fischer, 2014, Saturated rise feedback control for a class of second-order nonlinear systems, IEEE Trans. Autom. Control, 59, 1094, 10.1109/TAC.2013.2286913

Galeani, 2009, A tutorial on modern anti-windup design, Eur. J. Control, 15, 418, 10.3166/ejc.15.418-440

Gao, 1993, Variable structure control of nonlinear systems, IEEE Trans. Ind. Electron., 40, 45, 10.1109/41.184820

Geranmehr, 2015, Nonlinear suboptimal control of fully coupled non-affine six-DOF autonomous underwater vehicle using the state-dependent Riccati equation, Ocean Eng., 96, 248, 10.1016/j.oceaneng.2014.12.032

Gilbert, 1991, Linear systems with state and control constraints: the theory and application of maximal output admissible sets, IEEE Trans. Autom. Control, 36, 1008, 10.1109/9.83532

He, 2016, Adaptive neural network control of an uncertain robot with full-state constraints, IEEE Trans. Cybern., 46, 620, 10.1109/TCYB.2015.2411285

He, 2014, Robust adaptive control of a thruster assisted position mooring system, Automatica, 50, 1843, 10.1016/j.automatica.2014.04.023

Hua, 2015, Observer-based adaptive fuzzy control of a class of nonlinear systems with unknown symmetric nonlinear dead zone input, Appl. Math. Model., 40, 4370

Ibrir, 2007, Adaptive tracking of nonlinear systems with non-symmetric dead-zone input, Automatica, 43, 522, 10.1016/j.automatica.2006.09.022

Kothare, 1994, A unified framework for the study of anti-windup designs, Automatica, 30, 1869, 10.1016/0005-1098(94)90048-5

Li, Ji Hong, Lee, Pan Mook, Jun, Bong Huan, 2004. Application of a robust adaptive controller to autonomous diving control of an AUV. In: 30th IEEE Annual Conference on Industrial Electronics Society, 2004, IECON 2004, vol. 1, pp. 419–424, November.

Li, Ji-Hong, Lee, Pan-Mook, Lee, Sang-Jeong, 2002. Motion control of an AUV using a neural network adaptive controller. In: Proceedings of the 2002 International Symposium on Underwater Technology, pp. 217–221.

Li, 2015, Nonlinear disturbance observer-based control design for a robotic exoskeleton incorporating fuzzy approximation, IEEE Trans. Ind. Electron., 62, 5763, 10.1109/TIE.2015.2447498

Li, 2012, Robust adaptive motion control for underwater remotely operated vehicles with velocity constraints, Int. J. Control Autom. Syst., 10, 421, 10.1007/s12555-012-0222-y

Liu, 2016, A unified approach to adaptive neural control for nonlinear discrete-time systems with nonlinear dead-zone input, IEEE Trans. Neural Netw. Learn. Syst., 27, 139, 10.1109/TNNLS.2015.2471262

Liu, 2015, Adaptive NN tracking control of uncertain nonlinear discrete-time systems with nonaffine dead-zone input, IEEE Trans. Cybern., 45, 497, 10.1109/TCYB.2014.2329495

Peng, 2015, Containment control of networked autonomous underwater vehicles with model uncertainty and ocean disturbances guided by multiple leaders, Inf. Sci., 316, 163, 10.1016/j.ins.2015.04.025

Peng, 2014, Distributed coordinated tracking of multiple autonomous underwater vehicles, Nonlinear Dyn., 78, 1261, 10.1007/s11071-014-1513-z

Peng, 2015, Cooperative output feedback adaptive control of uncertain nonlinear multi-agent systems with a dynamic leader, Neurocomputing, 149, 132, 10.1016/j.neucom.2013.12.064

Rezazadegan, 2015, A novel approach to 6-DOF adaptive trajectory tracking control of an AUV in the presence of parameter uncertainties, Ocean Eng., 107, 246, 10.1016/j.oceaneng.2015.07.040

Roopaei, 2010, Unknown nonlinear chaotic gyros synchronization using adaptive fuzzy sliding mode control with unknown dead-zone input, Commun. Nonlinear Sci. Numer. Simul., 15, 2536, 10.1016/j.cnsns.2009.09.022

Slotine, 1991

Tao, 1994, Adaptive control of plants with unknown dead-zones, IEEE Trans. Autom. Control, 39, 59

Wang, 2015, Adaptive robust online constructive fuzzy control of a complex surface vehicle system, IEEE Trans. Cybern

Wang, 2004, Robust adaptive control of a class of nonlinear systems with unknown dead-zone, Automatica, 40, 407, 10.1016/j.automatica.2003.10.021