Adaptive Fuzzy Output-Feedback Stabilization Control for a Class of Switched Nonstrict-Feedback Nonlinear Systems

By Yong-ming Li, Shaocheng Tong. IEEE Transactions on Cybernetics, 2017

329 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/d0f78370305d6ed032f3325bc93492a424164073

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Chen Peng
2. Qing-Long Han
3. Dong Yue
4. Huijun Gao
5. Jun Wang
6. Zhouhua Peng
7. Xiangpeng Xie
8. Dan Wang

In Control and Systems Engineering

1. Qing-Long Han
2. Chen Peng
3. Dong Yue
4. Jun Wang
5. Huijun Gao
6. Zhouhua Peng
7. Jianbin Qiu
8. Chong Lin

Citations in the corpus

• Observer-Based Non-PDC Control for Networked T–S Fuzzy Systems With an Event-Triggered Communication (2017, methodology): “[30] proposed an adaptive observer-based accommodation scheme to tackle the problem of fault-tolerant dynamic surface control for uncertain nonlinear systems, and Li and Tong [22] provided an adaptive fuzzy outputfeedback stabilization control method for a nonlinear system.”
• Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks (2020, methodology): “In our future work, we will extend the proposed method to deal with the event-based H∞ filtering/fault detection problem and event-based adaptive control problem in the presence of DoS jamming attacks with the help of [43]–[45].”
• Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints (2019, background): “By defining x1 = q, x2 = q̇, and x3 = τ , and assuming that the switched functions exist in system (75) (see [6]), the Fig.”
• Fixed-time backstepping control design for high-order strict-feedback non-linear systems via terminal sliding mode (2017, background): “In the future, the fixed-time control will be considered for more complex stochastic non-linear switched systems [24, 25].”
• Teleoperation Control Based on Combination of Wave Variable and Neural Networks (2017, methodology): “In [21]–[23], adaptive fuzzy control was used for identification of the unknown nonlinear control system.”
• Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback (2017, background): “Besides, compared with the observer designs for nonlinear systems in [27]–[29] where the uncertainty identifications depend on the tracking error dynamics, the uncertainty estimation loop”
• Adaptive Neural Network Finite-Time Output Feedback Control of Quantized Nonlinear Systems (2018, background): “2) The existing adaptive neural or fuzzy control schemes in [30]–[57] can only guarantee the tracking error entering a small neighborhood of zero-point in infinite time.”