Adaptive Fuzzy Control for Nonlinear Pure-feedback Systems with External Disturbance and Unknown Dead Zone Output
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-016-0276-8
Abstract: By using the adaptive backstepping technique, a novel adaptive fuzzy backstepping control scheme is proposed for the nonlinear pure-feedback systems with external disturbance and unknown dead zone output in this paper. The proposed control scheme… read more here.
Keywords: zone output; unknown dead; external disturbance; dead zone ... See more keywords
A novel adaptive non-backstepping VUFC algorithm for a class of MIMO nonlinear systems with unknown dead-zones in pure-feedback form
Sign Up to like & getrecommendations! Published in 2019 at "Nonlinear Analysis: Hybrid Systems"
DOI: 10.1016/j.nahs.2018.07.001
Abstract: Abstract In this paper, based on adaptive non-backstepping design algorithm, we proposed a novel variable universe fuzzy control (VUFC) algorithm for a class of MIMO nonlinear systems with unknown dead-zone inputs in pure-feedback form. First,… read more here.
Keywords: form; feedback form; pure feedback; control ... See more keywords
Neuro observer-based control of pure feedback MIMO systems with unknown control direction
Sign Up to like & getrecommendations! Published in 2017 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2016.0991
Abstract: This study focuses on the problem of neural network (NN)-based tracking control for a class of uncertain multiple-input multiple-output non-linear systems in pure feedback form. An observer based on K-filters, is introduced to estimate immeasurable… read more here.
Keywords: neuro observer; control pure; control; observer based ... See more keywords
Approximation-Free State-Feedback Backstepping Controller for Uncertain Pure-Feedback Nonautonomous Nonlinear Systems Based on Time-Derivative Estimator
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938595
Abstract: A novel backstepping controller for uncertain single-input single-output pure-feedback nonaffine and nonautonomous nonlinear systems based on the time-derivative estimator(TDE) is proposed. Using TDEs, time-derivatives of error signals used in virtual control terms are directly estimated… read more here.
Keywords: pure feedback; time; controller uncertain; feedback ... See more keywords
Adaptive Neural Control of Uncertain MIMO Nonlinear Pure-Feedback Systems via Quantized State Feedback
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3165567
Abstract: We present an adaptive quantized state feedback tracking methodology for a class of uncertain multiple-input multiple-output (MIMO) nonlinear block-triangular pure-feedback systems with state quantizers. Uniform quantizers are considered to quantize all measurable state variables for… read more here.
Keywords: state; mimo nonlinear; pure feedback; state feedback ... See more keywords
PdI Regulation for Consensus: Application to Unknown Pure-Feedback Agents With State and Communication Delays
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2021.3094785
Abstract: A novel proportional and delayed integral (PdI) transformation is proposed that recasts the cooperative control problem with communication delay to a simpler regulation problem. The PdI transformation enables the use of classical control techniques for… read more here.
Keywords: pure feedback; state; consensus; state communication ... See more keywords
Output-Feedback Adaptive Neural Controller for Uncertain Pure-Feedback Nonlinear Systems Using a High-Order Sliding Mode Observer
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2861942
Abstract: A novel adaptive neural output-feedback controller for SISO nonaffine pure-feedback nonlinear systems is proposed. The majority of the previously described adaptive neural controllers for pure-feedback nonlinear systems were based on the dynamic surface control (DSC)… read more here.
Keywords: output feedback; pure feedback; controller; nonlinear systems ... See more keywords
Unknown Dynamics Estimator-Based Output-Feedback Control for Nonlinear Pure-Feedback Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2931627
Abstract: Most existing adaptive control designs for nonlinear pure-feedback systems have been derived based on backstepping or dynamic surface control (DSC) methods, requiring full system states to be measurable. The neural networks (NNs) or fuzzy logic… read more here.
Keywords: pure feedback; system; control; feedback control ... See more keywords
Adaptive Neural Control for Nonaffine Pure-Feedback System Based on Extreme Learning Machine
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/5613212
Abstract: For nonaffine pure-feedback systems, an adaptive neural control method based on extreme learning machine (ELM) is proposed in this paper. Different from the existing methods, this scheme firstly converts the original system into a nonaffine… read more here.
Keywords: nonaffine pure; system; control; neural control ... See more keywords