A Survey on Analysis and Design of Model-Based Fuzzy Control Systems

By Gang Feng. IEEE transactions on fuzzy systems, 2006

1,708 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/96ce933d2927e5d39cc81c1dc2b60a89254c1411

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Citations in the corpus

Advanced control in factory automation: a survey (2017, background): “Countless fuzzy control techniques have been proposed in the related literature, and the reader is referred to Feng (2006) and to the works cited in such a work for a review.”
Stability Analysis of Interval Type-2 Fuzzy-Model-Based Control Systems (2008, background): “INTRODUCTION TYPE-1 fuzzy-model-based (FMB) control systems [1] have drawn the attention of fuzzy control researchers for many years.”
A systematic approach to improve multiple Lyapunov function stability and stabilization conditions for fuzzy systems (2009, background): “Introduction Fuzzy sets and systems have gone through much development and criticism over the last four decades [42], and nowadays they can be found in a wide range of applications [13].”
Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching (2014, methodology): “It is well known that the Takagi–Sugeno (T–S) fuzzy model [5] (also known as the Takagi–Sugeno–Kang fuzzy model [6]) plays an important role to carry out stability analysis and control design [7]–[13],”
A Novel Control Design on Discrete-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delays (2013, background): “As a result, a great number of results on the analysis and control of T-S fuzzy systems have been reported, see for example, [5], [7], [11], [12], [18], [27], [31], [35] and the references therein.”
Fuzzy Control Systems: Past, Present and Future (2019, methodology): “This enables systematic and effective frameworks for stability analysis and control design of general nonlinear systems, see detailed discussions on prominent results in the 90s and in the early of 2010s in [11], [22].”
Fuzzy Filter Design for ItÔ Stochastic Systems With Application to Sensor Fault Detection (2009, background): “Therefore, the last decade witnessed a rapidly growing interest in T–S fuzzy systems, and many important results have been reported in [2], [3], [7], [10], [13], [17], [21]–[24], and references therein.”
Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey (2016, methodology): “approach based on Takagi–Sugeno (T–S) model is well suited to model-based nonlinear systems control design [21]–[25].”
Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach (2008, background): “A comprehensive survey on recent developments of the analysis and design of model-based fuzzy control systems can be seen in [2].”
A New Design of Delay-Dependent Robust ${\cal H}_{\bm \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay (2009, background): “It has been shown in [4]–[12] that the stability and stabilization of the fuzzy systems can be determined by searching a common positive definite Lyapunov matrix.”
A survey on industrial applications of fuzzy control (2011, neutral): “An excellent survey on analysis and design methods of model based fuzzy control systems is given in [29].”