REFERENCES
1. Saberi A. On optimality of decentralized control for a class of nonlinear interconnected systems. Automatica 1988;24:1101-4.
2. Mu CX, Sun CY, Wang D, Song AG, Qian CS. Decentralized adaptive optimal stabilization of nonlinear systems with matched interconnections. Soft Comput 2018;22:82705-15.
3. Mehraeen S, Jagannathan S. Decentralized optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Jacobi-Bellman formulation. IEEE Trans Neural Netw 2011;22:111715-96.
4. Yang X, He HB. Adaptive dynamic programming for decentralized stabilization of uncertain nonlinear large-scale systems with mismatched interconnections. IEEE Trans Syst Man Cybern Syst 2020;50:82870-82.
6. Xu Q, Yu C, Yuan X, Fu Z, Liu H. A distributed electricity energy trading strategy under energy shortage environment. Complex Eng Syst 2022;2:14.
7. Bian T, Jiang Y, Jiang ZP. Decentralized adaptive optimal control of large-scale systems with application to power systems. IEEE Trans, Ind Electron 2015;62:42439-47.
8. Liu DR, Wang D, Li HL. Decentralized stabilization for a class of continuous-time nonlinear interconnected systems using online learning optimal control approach. IEEE Trans Neural Netw Learn Syst 2014;25:2418-28.
9. Sun KK, Sui S, Tong SC. Fuzzy adaptive decentralized optimal control for strict feedback nonlinear large-scale systems. IEEE Trans, Cybern 2018;48:41326-39.
10. Wang XM, Feng ZG, Zhang GJ, Niu B, Yang D, et al. Adaptive decentralised control for large-scale non-linear non-strict-feedback interconnected systems with time-varying asymmetric output constraints and dead-zone inputs. IET Control Theory & Appl 2020;14:203417-27.
11. Wei QL, Liu DR, Lin Q, Song RZ. Discrete-time optimal control via local policy iteration adaptive dynamic programming. IEEE Trans, Cybern 2017;47:103367-79.
12. Wang D, Ren J, Ha MM, Qiao JF. System stability of learning-based linear optimal control with general discounted value iteration. IEEE, Trans Neural Netw Learn Syst 2022:Online ahead of print.
13. Wang D, Ha MM, Zhao MM. The intelligent critic framework for advanced optimal control. Artif Intell Rev 2022;55:11-22.
14. Wang D, Qiao JF, Cheng L. An approximate neuro-optimal solution of discounted guaranteed cost control design. IEEE Trans Cybern 2022;52:177-86.
15. Li YM, Liu YJ, Tong SC. Observer-based neuro-adaptive optimized control of strict-feedback nonlinear systems with state constraints. IEEE Trans Neural Netw Learn Syst 2022;33:73131-45.
16. Wang H, Yang CY, Liu XM, Zhou LN. Neural-network-based adaptive control of uncertain MIMO singularly perturbed systems with full-state constraints. IEEE Trans Neural Netw Learn Syst 2021; doi: 10.1109/TNNLS.2021.3123361.
17. Zhang H, Hong QQ, Yan HC, Yang FW, Guo G. Event-based distributed H-infinity filtering networks of 2-DOF quarter-car suspension systems. IEEE Trans Ind Inform 2017;13:1312-21.
18. Chen YG, Fei SM, Li YM. Robust stabilization for uncertain saturated time-delay systems: A distributed-delay-dependent polytopic approach. IEEE Trans Automat Contr 2017;62:73455-60.
19. Chen YG, Wang ZD. Local stabilization for discrete-time systems with distributed state delay and fast-varying input delay under actuator saturations. IEEE Trans Automat Contr 2021;66:31337-44.
20. Fu H, Chen X, Wu M. Distributed optimal observer design of networked systems via adaptive critic design. IEEE Trans Syst Man Cybern, Syst 2021;51:116976-85.
21. Narayanan V, Jagannathan S. Event-triggered distributed control of nonlinear interconnected systems using online reinforcement learning with exploration. IEEE Trans Cybern 2018;48:92510-9.
22. Wang D, Zhao MM, Ha MM, Qiao JF. Intelligent optimal tracking with application verifications via discounted generalized value iteration. Acta Automatica Sinica 2022;48:1182-93.
23. Zhang HG, Zhang K, Cai YL, Han J. Adaptive fuzzy fault-tolerant tracking control for partially unknown systems with actuator faults via integral reinforcement learning method. IEEE Trans Fuzzy Syst 2019;27:101986-98.
24. Modares H, Lewis FL. Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning. Automatica 2014;50:71780-1792.
25. Ha MM, Wang D, Liu DR. Discounted iterative adaptive critic designs with novel stability analysis for tracking control. IEEE/CAA, Journal of Automat Sinica 2022;9:71262-1272.
26. Qu QX, Zhang HG, Feng T, Jiang H. Decentralized adaptive tracking control scheme for nonlinear large-scale interconnected systems via adaptive dynamic programming. Neurocomputing 2017;225:1-10.
27. Niu B, Liu JD, Wang D, Zhao XD, Wang HQ. Adaptive decentralized asymptotic tracking control for large-scale nonlinear systems with unknown strong interconnections. IEEE/CAA Journal of Automatica Sinica 2022;9:1173-86.
28. Liu JD, Niu B, Kao YG, Zhao P, Yang D. Decentralized adaptive command filtered neural tracking control of large-scale nonlinear systems: An almost fast finite-time framework. IEEE Trans Neural Netw Learn Syst 2021;32:83621-2.
29. Tong SC, Zhang LL, Li YM. Observed-based adaptive fuzzy decentralized tracking control for switched uncertain nonlinear large-scale systems with dead zones. IEEE Trans Syst Man Cybern Syst 2016;46:137-47.
30. Wang D, Hu LZ, Zhao MM, Qiao JF. Dual event-triggered constrained control through adaptive critic for discrete-time zero-sum games. IEEE Trans Syst Man Cybern Syst 2023;53:31584-9.
31. Li XM, Zhang B, Li PS, Zhou Q, Lu RQ. Finite-horizon H-infinity state estimation for periodic neural networks over fading channels. IEEE Trans Neural Netw Learn Syst 2020;31:51450-60.
32. Duan JJ, Xu H, Liu WX, Peng JC, Jiang H. Zero-sum game based cooperative control for onboard pulsed power load accommodation. IEEE Trans Ind Inform 2020;16:1238-47.
33. Wang D, Zhao MM, Ha MM, Qiao JF. Stability and admissibility analysis for zero-sum games under general value iteration formulation. IEEE Trans Neural Netw Learn Syst 2022; doi: 10.1109/TNNLS.2022.3152268.
34. Zhang HG, Cui XH, Luo YH, Jiang H. Finite-horizon H-infinity tracking control for unknown nonlinear systems with saturating actuators. IEEE Trans Neural Netw Learn Syst 2018;29:41200-12.
35. Modares H, Lewis FL, Jiang ZP. H-infinity tracking control of completely unknown continuous-time systems via off-policy reinforcement learning. IEEE Trans Neural Netw Learn Syst 2015;26:102550-62.