Discrete-time robust fuzzy control synthesis for discretized and perturbed ship fin stabilizing systems subject to variance and pole location constraints
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Marine Science and Technology"
DOI: 10.1007/s00773-020-00731-8
Abstract: A discrete-time robust fuzzy controller design problem for the discretized and perturbed nonlinear ship fin stabilizing systems is studied in this paper. The discrete-time Takagi–Sugeno fuzzy model is used to represent the nonlinear ship fin… read more here.
Keywords: fin stabilizing; ship fin; discrete time; time ... See more keywords
Robust fuzzy linear quadratic regulator control optimized by multi-objective high exploration particle swarm optimization for a 4 degree-of-freedom quadrotor
Sign Up to like & getrecommendations! Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.105598
Abstract: Abstract In this article, a robust fuzzy controller based on the Linear Quadratic Regulator (LQR) method is presented and optimized by Multi-Objective High Exploration Particle Swarm Optimization (MOHEPSO) for a nonlinear 4 Degree-Of-Freedom (DOF) quadrotor.… read more here.
Keywords: freedom; linear quadratic; optimized multi; degree freedom ... See more keywords
A robust fuzzy stochastic programming for sustainable procurement and logistics under hybrid uncertainty using big data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2020.120640
Abstract: Abstract Today, in many organizations, the debate about the difference in core capabilities has become an important factor for market competition. Companies, based on the field of activity, decide to strengthen some of their capabilities,… read more here.
Keywords: big data; fuzzy stochastic; uncertainty; stochastic programming ... See more keywords
Noise-Robust Fuzzy Classifier Designed With the Aid of Type-2 Fuzzy Clustering and Enhanced Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3238798
Abstract: This paper introduces the design methodology of a noise-robust fuzzy classifier based on type-2 fuzzy clustering and enhanced learning methods. The design procedure for the noise-robust fuzzy classifier (NrFC) can be divided into two parts.… read more here.
Keywords: methodology; robust fuzzy; fuzzy; noise robust ... See more keywords
Application of Robust Fuzzy Cooperative Strategy in Global Consensus of Stochastic Multi-Agent Systems
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2025.3539624
Abstract: This investigation introduces a sophisticated robust fuzzy distributed protocol, which synergistically merges the strengths of robust control and fuzzy control to confront the global consensus conundrum in unknown multi-agent systems. The technological ingenuity of this… read more here.
Keywords: multi agent; global consensus; agent systems; robust fuzzy ... See more keywords
Robust Fuzzy Control of Network-Type Re-Entrant Manufacturing Systems With Communication Delays
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2025.3570294
Abstract: The robust fuzzy control problem for a category of network-type re-entrant manufacturing systems (RMSs) is explored in this paper. A continuum model is first employed to represent the RMSs with external disturbances and time-varying communication… read more here.
Keywords: control; type; fuzzy control; robust fuzzy ... See more keywords
Robust Fuzzy Predictive Control for Discrete-Time Systems With Interval Time-Varying Delays and Unknown Disturbances
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2959539
Abstract: A robust fuzzy predictive control (RFPC) based on Takagi–Sugeno (T-S) fuzzy model is proposed for systems with uncertainties, time-varying delays, unknown disturbances, as well as strong nonlinearity. First, the T-S fuzzy model is built by… read more here.
Keywords: robust fuzzy; time; unknown disturbances; control ... See more keywords
Robust Fuzzy Adaptive Finite-Time Control for High-Order Nonlinear Systems With Unmodeled Dynamics
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.2981917
Abstract: This article studies the problem of the robust fuzzy adaptive finite-time control design for a class of single-input single-output high-order nonlinear systems. The considered plants contain unknown nonlinear functions, unmodeled dynamics, and dynamical disturbances. In… read more here.
Keywords: finite time; unmodeled dynamics; robust fuzzy; control ... See more keywords
Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3185285
Abstract: Most extant feature selection works neglect interactive features in the form of groups, leading to the omission of some important discriminative information. Moreover, the prevalence of data with uncertainty, fuzziness, and noise poses a certain… read more here.
Keywords: robust fuzzy; approximation space; fuzzy rough; rough approximation ... See more keywords
Path planning and robust fuzzy output-feedback control for unmanned ground vehicles with obstacle avoidance
Sign Up to like & getrecommendations! Published in 2020 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/0954407020978319
Abstract: Obstacle avoidance strategy is important to ensure the driving safety of unmanned ground vehicles. In the presence of static and moving obstacles, it is challenging for the unmanned ground vehicles to plan and track the… read more here.
Keywords: obstacle avoidance; output feedback; unmanned ground; output ... See more keywords