Learning control for discrete-time nonlinear systems with sensor saturation and measurement noises
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2017.1344894
Abstract: ABSTRACT The iterative learning control (ILC) is investigated for a class of nonlinear systems with measurement noises where the output is subject to sensor saturation. An ILC algorithm is introduced based on the measured output… read more here.
Keywords: measurement noises; nonlinear systems; sensor saturation; control discrete ... See more keywords
L2-L∞ filtering for stochastic delayed systems with randomly occurring nonlinearities and sensor saturation
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2020.1794080
Abstract: This work investigates L2-L∞ filtering problem for a class of stochastic systems with time-delay and randomly occurring phenomena. The purpose of the addressed problem is to design a full order filter to ensure the filtering… read more here.
Keywords: randomly occurring; nonlinearities sensor; occurring nonlinearities; filtering stochastic ... See more keywords
Reliable ${L_{2}} - {L_{\infty} }$ State Estimation for Markovian Jump Reaction-Diffusion Neural Networks With Sensor Saturation and Asynchronous Failure
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2868060
Abstract: This paper investigates reliable estimation problem for Markovian jump neural networks (MJNNs) with reaction-diffusion terms and asynchronous sensor failure. Considering the communication channel used in practical application, the sensor saturation phenomenon is considered in this… read more here.
Keywords: estimation; neural networks; markovian jump; reaction diffusion ... See more keywords
Reduced-Order Extended Dissipative Filtering for Nonlinear Systems With Sensor Saturation via Interval Type-2 Fuzzy Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3162392
Abstract: The system nonlinearity, sensor saturation, and the uncertainty will hamper the analysis and affect the control performance. Filtering is a signal processing method which facilitates the system analysis and synthesis by signal estimation or noise… read more here.
Keywords: filtering; fuzzy; sensor saturation; extended dissipative ... See more keywords