Observer-based fuzzy adaptive control for strict-feedback nonlinear systems
By Shaocheng Tong, Yong-ming Li. Fuzzy Sets Syst., 2009
465 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/1cf89582c4de308960d7a9a2a49a72ef6368d630
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In Artificial Intelligence
In Control and Systems Engineering
Citations in the corpus
- Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems (2011, unknown): “Assumption 3 [8], [15]: There are unknown positive constants εi and δ ∗ i such that |εi| ≤ εi and |δi| ≤ δ∗ i .”
- Observer‐based leader‐following consensus of uncertain nonlinear multi‐agent systems (2017, background): “ii) Different from [29], the design of the proposed distributed adaptive observer and controller does not require the assumption that the upper bounds of actual and optimal approximation errors should be known exactly.”
- Adaptive Output-Feedback Fuzzy Tracking Control for a Class of Nonlinear Systems (2011, methodology): “The weakness of the aforementioned adaptive control methods in [8]–[12], [14]– [16], [24], and [26]–[29] is that many adaptive parameters need to be tuned by online learning laws.”
- Terminal sliding mode tracking control for a class of SISO uncertain nonlinear systems. (2013, unknown): “Consider the duffing forced oscillation system as [2] _ x1 1⁄4 x2 _ x2 1⁄4 0:1x2 x(3)1þ12 cosðtÞþuþd y1⁄4 x1 ð42Þ where the external disturbance d1⁄4 1:5 sinð0:2tÞþ2 cosð0:2tþ1Þ.”
- Adaptive Fuzzy Tracking Control Design for SISO Uncertain Nonstrict Feedback Nonlinear Systems (2016, background): “Among them, the work in [18]–[21] is for a class of SISO nonlinear systems, the work in”
- Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints (2021, background): “Subsequently, by designing different sorts of state observers, some intelligent adaptive output feedback control approaches were developed in [7]–[14] for uncertain SISO and MIMO nonlinear systems with immeasurable states.”
- Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems (2011, background): “Assumption [20], [21], [30], [32]: There exist known constants εij > 0 and δ 0 ij > 0, such that |εij | ≤ εij and |δij | ≤ δ ij , for i = 1, 2, .”
- Composite Adaptive Fuzzy Output Feedback Control Design for Uncertain Nonlinear Strict-Feedback Systems With Input Saturation (2015, background): “References [10]–[16] investigated the adaptive fuzzy output feedback control problem for SISO, MIMO nonlinear systems, or large-scale nonlinear systems with immeasurable states.”
- Adaptive Fuzzy Output Feedback Tracking Backstepping Control of Strict-Feedback Nonlinear Systems With Unknown Dead Zones (2012, unknown): “According to Tong and colleagues [6], [17], define the optimal parameter vectors θ∗ i as θ∗ i = arg min θi ∈Ω i [”
- Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems (2016, background): “Assumption 1 [28], [39]: The leader’s dynamic, yr(t), is a sufficiently smooth function of time variable t, and yr, ẏr are bounded, i.”
- FAT-based robust adaptive control of electrically driven robots without velocity measurements (2017, unknown): “In [10], an adaptive fuzzy observer has been introduced for strict-feedback nonlinear systems, although the problem arises from NN/fuzzy approaches still exist.”
- Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems (2011, background): “carried out on uncertain nonlinear systems based on the NNs [8]–[13] or the FLSs [ 14 ]–[20].”