Fuzzy Dynamic Sliding Mode Controller Design for Uncertain Nonlinear Markovian Jump Systems
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-018-0712-7
Abstract: This paper investigates the problem of sliding mode control (SMC) for a class of uncertain nonlinear Markovian jump systems through T-S fuzzy models. By adopting some convexification techniques, new results on stochastic stability analysis of… read more here.
Keywords: sliding mode; jump systems; nonlinear markovian; uncertain nonlinear ... See more keywords
Filtering in Gaussian Linear Systems With Fuzzy Switches
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2921944
Abstract: This paper presents recent results on conditionally Gaussian observed Markov switching models by incorporating fuzzy switches in the model, instead of hard ones. This kind of generalization is of interest for applications involving continuous switching… read more here.
Keywords: filtering gaussian; fuzzy switches; linear systems; gaussian linear ... See more keywords
Adaptive Output Feedback Tracking Control for a Class of Nonlinear Time-Varying State Constrained Systems With Fuzzy Dead-Zone Input
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.2986705
Abstract: This article proposes an adaptive fuzzy controller for a class of uncertain strict-feedback nonmatching nonlinear single-input single-output systems with fuzzy dead zone and full time-varying state constraints. The states considered here are immeasurable and full… read more here.
Keywords: systems fuzzy; zone; time varying; output ... See more keywords
Fuzzy Active Learning to Detect OpenCL Kernel Heterogeneous Machines in Cyber Physical Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3167158
Abstract: Cyber-physical systems (CPS) consist of a variety of multicore architectures, including central processing units (CPU) and graphical processing units (GPU). In general, programmers assign sequential programs to the CPU while parallel applications are assigned to… read more here.
Keywords: active learning; physical systems; systems fuzzy; model ... See more keywords