Abu-Khalaf M, Lewis FL (2005) Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach. Automatica 41:779–791
Bakule L (2008) Decentralized control: an overview. Ann Rev Control 32:87–98
Beard RW, Saridis GN, Wen JT (1997) Galerkin approximations of the generalized Hamilton-Jacobi-Bellman equation. Automatica 33:2159–2177
Gu B, Sheng VS, Tay KY, Romano W, Li S (2015a) Incremental support vector learning for ordinal regression. IEEE Trans Neural Netw Learn Syst 26:1403–1416
Gu B, Sheng VS, Wang Z, Ho D, Osman S, Li S (2015b) Incremental learning for \(\nu \)-support vector regression. Neural Netw 67:140–150
Hou ZG, Gupta MM, Nikiforuk PN, Tan M, Cheng L (2007) A recurrent neural network for hierarchical control of interconnected dynamic systems. IEEE Trans Neural Netw 18:466–481
Jiang Y, Jiang ZP (2015) Global adaptive dynamic programming for continuous-time nonlinear systems. IEEE Trans Autom Control 60:2917–2929
Lewis FL, Vrabie D, Vamvoudakis KG (2012) Reinforcement learning and feedback control: using natural decision methods to design optimal adaptive controllers. IEEE Control Syst Mag 32:76–105
Liu D, Li H, Wang D (2013) Data-based self-learning optimal control: research progress and prospects. Acta Autom Sin 39:1858–1870
Liu D, Wang D, Li H (2014) Decentralized stabilization for a class of continuous-time nonlinear interconnected systems using online learning optimal control approach. IEEE Trans Neural Netw Learn Syst 25:418–428
Luo B, Wu HN, Huang T, Liu D (2014) Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design. Automatica 50:3281–3290
Mehraeen S, Jagannathan S (2011) Decentralized optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Jacobi-Bellman formulation. IEEE Trans Neural Netw 22:1757–1769
Modares H, Lewis FL, Naghibi-Sistani MB (2013) Adaptive optimal control of unknown constrained-input systems using policy iteration and neural networks. IEEE Trans Neural Netw Learn Syst 24:1513–1525
Mu C, Ni Z, Sun C, He H (2016) Data-driven tracking control with adaptive dynamic programming for a class of continuous-time nonlinear systems. IEEE Trans Cybern. doi:10.1109/TCYB.2016.2548941 (in press)
Mu C, Ni Z, Sun C, He H (2017a) Air-breathing hypersonic vehicle track ing control based on adaptive dynamic programming. IEEE Trans Neural Netw Learn Syst 28(3):584–598
Mu C, Wang D, He H (2017b) Novel iterative neural dynamic programming for data-based approximate optimal control design. Automatica. doi:10.1016/j.automatica.2017.03.022 (in press)
Na J, Herrmann G (2014) Online adaptive approximate optimal tracking control with simplified dual approximation structure for continuous time unknown nonlinear systems. IEEE/CAA J Autom Sin 1:412–422
Ni Z, He H (2013) Heuristic dynamic programming with internal goal representation. Soft Comput 17:2101–2108
Panagi P, Polycarpou MM (2011) Decentralized fault tolerant control of a class of interconnected nonlinear systems. IEEE Trans Autom Control 56:178–184
Prokhorov DV, Wunsch DC (1997) Adaptive critic designs. IEEE Trans Neural Netw 8:997–1007
Rice JK, Verhaegen M (2009) Distributed control: a sequentially semi-separable approach for spatially heterogeneous linear systems. IEEE Trans Autom Control 54:1270–1283
Saberi A (1998) On optimality of decentralized control for a class of nonlinear interconnected systems. Automatica 24:101–104
Siljak DD (2012) Decentralized control of complex systems. Academic Press, Boston
Sutton RS, Barto AG (1998) Reinforcement learning—an introduction. MIT Press, Cambridge
Vamvoudakis KG, Lewis FL (2010) Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem. Automatica 46(5):878–888
Wang FY, Zhang H, Liu D (2009) Adaptive dynamic programming: an introduction. IEEE Comput Intell Mag 4:39–47
Wang D, Liu D, Wei Q, Zhao D, Jin N (2012) Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming. Automatica 48:1825–1832
Wang D, Liu D, Li H (2014a) Policy iteration algorithm for online design of robust control for a class of continuous-time nonlinear systems. IEEE Trans Autom Sci Eng 11:627–632
Wang D, Liu D, Li H, Ma H (2014b) Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming. Inf Sci 282:167–179
Wang D, Liu D, Li H, Ma H, Li C (2016a) A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization. Soft Comput 20:707–716
Wang D, Liu D, Ma H, Mu C (2016b) Decentralized guaranteed cost control of interconnected systems with uncertainties: a learning-based optimal control strategy. Neurocomputing 214:297–306
Wang D, Mu C, Liu D (2017) Data-driven nonlinear near-optimal regulation based on iterative neural dynamic programming. Acta Autom Sin 43:354–363
Werbos PJ (2008) ADP: the key direction for future research in intelligent control and understanding brain intelligence. IEEE Trans Syst Man Cybern B Cybern 38:898–900
Yang X, Liu D, Ma H, Xu Y (2016) Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems. Inf Sci 328:435–454
Zhang H, Luo Y, Liu D (2009) Neural-network-based near-optimal control for a class of discrete-time affine nonlinear systems with control constraints. IEEE Trans Neural Netw 20:1490–1503
Zhao D, Zhu Y (2015) MEC-A near-optimal online reinforcement learning algorithm for continuous deterministic systems. IEEE Trans Neural Netw Learn Syst 26:346–356