$${\mathscr{H}}_-$$H- Index for Nonlinear Stochastic Systems with State- and Input-Dependent Noises
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0356-4
Abstract: This brief focuses on the $$\mathscr {H}_-$$H- index problem for nonlinear systems involving state- and input-dependent noises in finite and infinite horizon. A sufficient condition of the $$\mathscr {H}_-$$H- index in finite/infinite case is developed… read more here.
Keywords: input dependent; state input; index; mathscr index ... See more keywords
Exploiting input sparsity for joint state/input moving horizon estimation
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.08.024
Abstract: Abstract This paper proposes a novel time domain approach for joint state/input estimation of mechanical systems. The novelty consists of exploiting compressive sensing (CS) principles in a moving horizon estimator (MHE), allowing the observation of… read more here.
Keywords: state input; estimation; input; joint state ... See more keywords
Parallel MPC for Linear Systems With State and Input Constraints
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DOI: 10.1109/lcsys.2022.3188357
Abstract: This letter proposes a parallelizable algorithm for linear-quadratic model predictive control (MPC) problems with state and input constraints. The algorithm itself is based on a parallel MPC scheme that has originally been designed for systems… read more here.
Keywords: parallel mpc; state; input constraints; control ... See more keywords