Adaptive Output-Feedback Fuzzy Tracking Control for a Class of Nonlinear Systems

By Qi Zhou, Peng Shi, Jinjun Lu, Shengyuan Xu. IEEE transactions on fuzzy systems, 2011

335 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/34f578734d5377ab0db62542e911482b6e968a5a

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

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Hongyi Li
4. Mou Chen
5. Shuzhi Sam Ge
6. Qi Zhou
7. Peng Shi
8. Lijie Wang

Citations in the corpus

• Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance Observer (2013, background): “Many remarkable results in this area have been obtained, including robust adaptive control [1]–[8], sliding mode control [9]–[11], backstepping control [12]–[16], and intelligent control [17]–[22].”
• Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions (2020, background): “Thus, the existing adaptive control schemes in [11]–[15] cannot be utilized to solve the control problem of system (66).”
• Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm (2020, methodology): “1) Different from [22]–[26], both less learning parameters method and the direct adaptive control method are incorporated to design an optimal controller, which can effectively solve the adaptive fault-tolerant tracking control problem for discrete-time MASs with optimal performance.”
• Saturated Adaptive Robust Control for Active Suspension Systems (2013, background): “In the literature, one can see numerous works that research into uncertain systems, some examples being [20], [28], and [39].”
• Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach (2017, background): “[30] designed a filter to estimate unknown system states, and then an adaptive output-feedback based control scheme was provided for a category of nonlinear systems with single-input and single-output (SISO) structure.”
• Fuzzy Adaptive Output Feedback Control of MIMO Nonlinear Systems With Partial Tracking Errors Constrained (2015, background): “In addition, if f̂j,ij (x̂j,ij |θj,i j ) = 0, the fuzzy state observer (18) of this paper will become a linear state observer in [12]–[15].”
• Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching (2014, background): “Also, the fuzzy control concept was extended to other stability/control problems such as output feedback control [23], sampled-data control [26], control systems with time delay [8], [24], [25], tracking control [27], large-scale fuzzy systems [28], and even fuzzy neural networks [29].”
• Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Nonstrict Feedback Systems (2019, methodology): “[5] presented a fuzzy adaptive output feedback control method for a class of strict feedback nonlinear systems by using dynamic feedback strategy.”