Jul 2026· Asian journal of control· 0 citations· 57 references
Abstract
This paper presents a composite prescribed‐time filtered performance control strategy for constrained nonlinear systems under actuator faults and preassigned performance. The main innovations are threefold. First, a more concise criterion for practically prescribed‐time stability (PPTS) is proposed, where the settling time is decoupled from initial states and system parameters. Second, an adaptive practically prescribed‐time filter (APPTF) is developed to circumvent the complexity explosion of backstepping method, accelerating convergence and achieving a prescribed convergence time for the filter error. Third, based on a high‐precision prescribed‐time preassigned performance function (HPPTPPF) and a transformation function, the tracking error is confined to a preset region within a user‐defined convergence time. The composite controller, synthesized via RBFNNs and adaptive laws, ensures both the PPTS of the system and state constraint satisfaction despite actuator faults. Moreover, the tracking error attains the preassigned performance requirements within the prescribed time. Comparative simulations substantiate the effectiveness of the proposed control approach.
This paper investigates the predefined-time adaptive neural tracking control problem for a class of nonlinear pure feedback systems with full state constraints, and proves that all closed loop signals are predefined-time-bounded and the tracking error meets the preset performance specifications.
Yang Li, Ya-Qi Yu, Quan-Min Zhu et al.· Mathematics· 0 citations
This paper proposes an adaptive prescribed-time tracking control strategy based on the dynamic surface technique for hydraulic servo systems subject to time-varying parameters, external disturbances, and output constraints. First, a state-constrained transformation function is introduced to convert the strict output co...
Meng-Jie Wang, Kou Du, Xi-Ming Cai et al.· Symmetry· 0 citations
In the paper, the adaptive dynamic programming (ADP) control method with prescribed‐time performance is investigated. Two design methods are proposed. First, a performance function associated with the prescribed‐time sliding mode surface is constructed, and a target function incorporating a prescribed‐time varying fu...
Chao Jia, Xue-Qiang Li, Xin-Yu Li· International Journal of Rob...· 0 citations
Adaptive finite‐time prescribed performance control for autonomous surface vehicles (ASVs) subject to stochastic noise and asymmetric dead‐zone output nonlinearities is investigated in this paper. First, a finite‐time prescribed performance function (FTPPF) is introduced to ensure that the tracking error converges to...
Yan-Li Liu, Xin-Yu Yang, Li-Hua Hao· International Journal of Rob...· 0 citations
This paper investigates three fundamental challenges in cooperative control of nonlinear multi‐agent systems, namely, unknown and coupled nonlinear dynamics, initial‐condition sensitivity of transient performance inherent in classical prescribed performance control, and limited communication resources in networked en...
Guo-Fa Sun, Yi Yang, Yong-Yang Wang et al.· International Journal of Rob...· 0 citations
This paper studies the prescribed-time tracking control problem with output constraints for stochastic nonlinear systems over an infinite horizon, motivated by ship maneuvering dynamics. The steady-state tracking accuracy of existing methods is uncertain due to unknown system parameters, which may fail to meet high-pre...
Yi-Xuan Yuan, Li-Ping Xie, Jun-Sheng Zhao et al.· ISA transactions· 0 citations
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