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Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
Heuristic design of fuzzy inference systems: A review of three decades of research
This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …
Event-triggered adaptive fuzzy fixed-time tracking control for a class of nonstrict-feedback nonlinear systems
H Wang, K Xu, J Qiu - … Transactions on Circuits and Systems I …, 2021 - ieeexplore.ieee.org
The problem of fuzzy-based adaptive event-triggered tracking control is investigated for a
class of non-strict-feedback nonlinear systems within fixed-time interval in this paper. Fuzzy …
class of non-strict-feedback nonlinear systems within fixed-time interval in this paper. Fuzzy …
Dynamic self-triggered fuzzy bipartite time-varying formation tracking for nonlinear multiagent systems with deferred asymmetric output constraints
In this article, an adaptive fuzzy bipartite formation tracking control strategy of nonlinear
multiagent systems (MASs) is developed under a directed communication topology. Fuzzy …
multiagent systems (MASs) is developed under a directed communication topology. Fuzzy …
Adaptive fuzzy output-feedback consensus tracking control of nonlinear multiagent systems in prescribed performance
This article addresses the finite-time consensus tracking control problem for nonlinear
multiagent systems (MASs), in which state variables are unmeasured and nonlinear …
multiagent systems (MASs), in which state variables are unmeasured and nonlinear …
Adaptive fuzzy practical fixed-time tracking control of nonlinear systems
This article investigates an adaptive practical fixed-time control strategy for the output
tracking control of a class of strict feedback nonlinear systems. By utilizing a backstep** …
tracking control of a class of strict feedback nonlinear systems. By utilizing a backstep** …
Predefined-time event-triggered adaptive tracking control for strict-feedback nonlinear systems with full-state constraints
This paper investigates the problem of predefined-time event-triggered adaptive tracking
control for strict-feedback nonlinear systems (SFNSs) with full-state constraints. To handle …
control for strict-feedback nonlinear systems (SFNSs) with full-state constraints. To handle …
Command filter-based adaptive fuzzy self-triggered control for MIMO nonlinear systems with time-varying full-state constraints
This paper focuses on the adaptive fuzzy self-triggered tracking controller design for full-
state constrained multiple-input and multiple-output nonlinear systems. The implementation …
state constrained multiple-input and multiple-output nonlinear systems. The implementation …
Resilient cooperative optimization control for fuzzy nonlinear MASs under DoS attacks
In this article, we study the cooperative optimization problem (COP) for fuzzy nonlinear
multiagent systems subjecting to denial-of-service (DoS) attacks. Unlike the existing …
multiagent systems subjecting to denial-of-service (DoS) attacks. Unlike the existing …
Observer-based finite-time adaptive fuzzy control for nontriangular nonlinear systems with full-state constraints
This article focuses on finite-time adaptive fuzzy output-feedback control for a class of
nontriangular nonlinear systems with full-state constraints and unmeasurable states. Fuzzy …
nontriangular nonlinear systems with full-state constraints and unmeasurable states. Fuzzy …