Journal of Guangdong University of Technology ›› 2022, Vol. 39 ›› Issue (05): 137-144.doi: 10.12052/gdutxb.220050
Yang Wen-jing, Xia Jian-wei
CLC Number:
[1] JAIN S, KHORRAMI F. Decentralized adaptive output feedback design for large-scale nonlinear systems [J]. IEEE Transactions on Automatic Control, 1997, 42(5): 729-735. [2] JIANG Z P. Decentralized and adaptive nonlinear tracking of large-scale systems via output feedback [J]. IEEE Transactions on Automatic Control, 2000, 45(11): 2122-2128. [3] LIU S J, ZHANG J F, JIANG Z P. Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems [J]. Automatica, 2007, 43(2): 238-251. [4] TONG S C, LI Y M, LIU Y J. Observer-based adaptive neural networks control for large-scale interconnected systems with nonconstant control gains [J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(4): 1575-1585. [5] LI Y M, TONG S C. Adaptive neural networks prescribed performance control design for switched interconnected uncertain nonlinear systems [J]. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(7): 3059-3068. [6] GONG J Y, JIANG B, SHEN Q K. Adaptive fault tolerant neural control for large-scale systems with actuator faults [J]. International Journal of Control, Automation and Systems, 2019, 17: 1421-1431. [7] LI Y M, TONG S C. Fuzzy adaptive control design strategy of nonlinear switched large-scale systems [J]. IEEE Transaction on Systems, Man, and Cybernetics: Systems, 2018, 48(12): 2209-2218. [8] WANG H Q, PETER LIU X P, ZHAO X D, et al. Adaptive fuzzy finite-time control of nonlinear systems with actuator faults [J]. IEEE Transactions on Cybernetics, 2020, 50(5): 1786-1797. [9] SUI S, PHILIP CHEN L P, TONG S C. Event-trigger-based finite-time fuzzy adaptive control for stochastic nonlinear system with unmodeled dynamics [J]. IEEE Transactions on Fuzzy Systems, 2021, 29(7): 1914-1926. [10] LIANG H J, LIU G L, ZHANG G H, et al. Neural-network-based event-triggered adaptive control of nonaffine nonlinear multiagent systems with dynamic uncertainties [J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(5): 2239-2250. [11] HUANG J S, WANG W, WEN C Y, et al. Adaptive event-triggered control of nonlinear systems with controller and parameter estimator triggering [J]. IEEE Transactions on Automatic Control, 2020, 65(1): 318-324. [12] MA H, LI H Y, LIANG H J, et al. Adaptive fuzzy event-triggered control for stochastic nonlinear systems with full state constraints and actuator faults [J]. IEEE Transactions on Fuzzy Systems, 2019, 27(11): 2242-2254. [13] WANG L J, PHILIP CHEN C L. Reduced-order observer-based dynamic event-triggered adaptive NN control for stochastic nonlinear systems subject to unknown input saturation [J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(4): 1678-1690. [14] JI Y H, ZHOU H L, ZONG Q. Decentralized adaptive event-triggered control for nonlinear interconnected systems in strict-feedback form [J]. International Journal of Control, Automation and Systems, 2020, 18(4): 980-990. [15] BECHLIOULIS C P, ROVITHAKIS G A. Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance [J]. IEEE Transactions on Automatic Control, 2008, 53(9): 2090-2099. [16] ZHOU Q, LI H Y, WU C W, et al. Adaptive fuzzy control of nonlinear systems with unmodeled dynamics and input saturation using small-gain approach [J]. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2017, 47(8): 1979-1989. [17] LI Y M, SHAO X F, TONG S C. Adaptive fuzzy prescribed performance control of nontriangular structure nonlinear systems [J]. IEEE Transactions on Fuzzy Systems, 2020, 28(10): 2416-2426. [18] ZHANG L L, YANG G H. Adaptive fuzzy prescribed performance control of nonlinear systems with hysteretic actuator nonlinearity and faults [J]. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2018, 48(12): 2349-2358. [19] ILCHMANN A, RYAN E P, TOWNSEND P. Tracking with prescribed transient behaviour [J]. ESAIM:Control, Optimisation and Calculus of Variations, 2002, 7: 471-493. [20] HACKL M C, HOPFE N, ILCHMANN A, et al. Funnel control for systems with relative degree two [J]. SIAM Journal on Control and Optimization, 2013, 51(2): 965-995. [21] BERGER T, REIS T. Funnel control via funnel precompensator for minimum phase systems with relative degree two [J]. IEEE Transactions on Automatic Control, 2018, 63(7): 2264-2271. [22] LIBERZON D, TRENN S. The bang-bang funnel controller for uncertain nonlinear systems with arbitrary relative degree [J]. IEEE Transactions on Automatic Control, 2013, 58(12): 3126-3141. [23] CHOWDHURY D, KHALIL H K. Funnel control for nonlinear systems with arbitrary relative degree using high-gian observers [J]. Automatica, 2019, 105: 107-116. [24] LIU Y H, SU C Y, LI H Y. Adaptive output feedback funnel control of uncertain nonlinear systems with arbitrary relative degree [J]. IEEE Transactions on Automatic Control, 2021, 66(6): 2854-2860. [25] SUN Y M, CHEN B, LIN C, et al. Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach [J]. Information Sciences, 2016, 369(10): 748-764. [26] FARRELL J A, POLYCARPOU M, SHARMA M, et al. Command filtered backstepping [J]. IEEE Transactions on Automatic Control, 2009, 54(6): 1391-1395. |
[1] | Zhang Lin-chuang, Du Xin-ye, Jin Hong-hong, Zhou Wei, Sun Yong-hui. Asynchronous Control of Mode-constrained Linear Jump Systems with Time-varying Emission Probability [J]. Journal of Guangdong University of Technology, 2022, 39(05): 46-51,60. |
[2] | Peng Ji-guang, Xiao Han-zhen. Tracking and Obstacle Avoidance of Multi-mobile Robots Under Model Predictive Control [J]. Journal of Guangdong University of Technology, 2022, 39(05): 93-101. |
[3] | Wu Yi, Mei Ke-qi, Ding Shi-hong, Ge Qun-hui, Wang Wei-zhi. An Extended State Observer Based Continuous Twisting Control for PMSM Speed Regulation [J]. Journal of Guangdong University of Technology, 2022, 39(05): 112-119. |
|