Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems With Time-Varying Constraints and Input Saturations
Abstract
This article investigates the adaptive fuzzy tracking control design for uncertain nonstrict-feedback nonlinear systems with time-varying constraints and asymmetric input saturations. It is known that time-varying output constraint, time-varying error constraints, and input saturations are commonly seen issues in many practical engineering systems due to inherent physical limitations and performance requirements. To deal with these problems and improve the convergence rate of the control system, a novel fixed-time convergent adaptive fuzzy control scheme is proposed for the considered uncertain nonlinear systems via the time-varying barrier Lyapunov function (BLF) technique. First, to deal with the unknown nonlinearities and uncertainties in the system dynamic model, fuzzy logic systems are utilized to approximate the unknown functions of the considered model. Then, the problem of asymmetric input amplitude and rate saturations is handled by constructing a unified smooth characterizing function and an innovative auxiliary design signal system. Subsequently, considering physical limitations and performance requirements, a novel time-varying BLF-based adaptive fuzzy backstepping control scheme is designed for the uncertain nonstrict-feedback nonlinear systems to realize superior tracking performances and keep the states staying in predefined time-varying compact regions during operations. Further, rigorous theoretical analyses have been conducted to show that the proposed control scheme achieves fixed-time convergence of all signals in the closed-loop control system. Finally, representative simulation results verify the effectiveness of the proposed control scheme.
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When compared to [46], this paper extends the approach by addressing input delay and backlash-like hysteresis in nonstrict-feedback systems.
“When compared to [46], which proposes an adaptive fuzzy control scheme for nonstrict-feedback nonlinear systems with input saturation and time-varying constraints, this paper extends the approach by addressing input delay and backlash-like hysteresis in nonstrict-feedback systems.”
From Fixed-Time Adaptive Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unknown Backlash-Like Hysteresis (2025) · cites this paper as [46]
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“When compared to [46], which proposes an adaptive fuzzy control scheme for nonstrict-feedback nonlinear systems with input saturation and time-varying constraints, this paper extends the approach by addressing input delay and backlash-like hysteresis in nonstrict-feedback systems.”
- Authors
- Sun, J., Yi, J., & Pu, Z.
- Affiliations
- Jiangsu University (CN)
- Chinese Academy of Sciences (CN)
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2022-04
- Volume
- 30
- Issue
- 4
- Pages
- 1114-1128
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W3134235046
- Cited by
- 184
- References
- 60
- Citations by year
- 2026: 21 · 2025: 40 · 2024: 51 · 2023: 45 · 2022: 21 · 2021: 6
- FWCI
- 13.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Fuzzy Systems (publishedVersion)
- Funders
- National Natural Science Foundation of China (61421004)
- China Scholarship Council
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Computer Science › Artificial Intelligence › Fuzzy Logic and Control Systems
- Keywords
- fixed-time control, adaptive fuzzy control, nonstrict-feedback nonlinear systems, time-varying output constraints, barrier Lyapunov function, tracking control, uncertain nonlinear systems
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