Forward modeling and inverse estimation for nonlinear filtering
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.6714
Abstract: The highly accurate state estimation of nonlinear systems is needed in many different application fields. In many existing nonlinear filters, the uncompensated nonlinear approximation error and widely used numerical sampling methods both seriously affect the… read more here.
Keywords: inverse estimation; estimation nonlinear; nonlinear filtering; modeling inverse ... See more keywords
Cubic Observers for State Estimation of Nonlinear Systems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Control, Automation and Electrical Systems"
DOI: 10.1007/s40313-021-00758-1
Abstract: This paper extends the usage of a recently introduced state observer; the cubic observer, to a relatively large family of nonlinear dynamical systems including one-sided Lipschitz and Lipschitz systems as special cases. Convergence criteria as… read more here.
Keywords: systems cubic; state estimation; observers state; state ... See more keywords
A new approach for robust fault estimation in nonlinear systems with state-coupled disturbances using dissipativity theory.
Sign Up to like & getrecommendations! Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.12.040
Abstract: The problem of fault estimation for nonlinear systems with Lipschitz nonlinearities is addressed in this work for the estimation of both the system fault and states. In the proposed approach disturbance is regarded to be… read more here.
Keywords: fault; estimation; dissipativity theory; fault estimation ... See more keywords
${H} _\infty $ Based Estimation of Nonlinear Systems
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2017.2718478
Abstract: This letter presents a ${H} _{\infty }$ criterion-based recursive filter of nonlinear systems with nonlinear dynamics and measurement. The filter is based on the deterministic-statistical approach to estimation. The solution is based on three components:… read more here.
Keywords: estimation; infty based; based estimation; nonlinear systems ... See more keywords
Constrained State Estimation for Nonlinear Systems: A Redesign Approach Based on Convexity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3064537
Abstract: Given a plant whose trajectories of interest remain in a known compact set and an associated observer, we propose a general framework to modify this observer so that its state remains in a given convex… read more here.
Keywords: state; estimation nonlinear; constrained state; state estimation ... See more keywords
Remote State Estimation for Nonlinear Systems via a Fading Channel: A Risk-sensitive Approach.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3052563
Abstract: This article investigates the problem of remote state estimation for nonlinear systems via a fading channel, where the packet losses may occur over the sensor-to-estimator communication network. The risk-sensitive (RS) approach is introduced to formulate… read more here.
Keywords: systems via; state estimation; nonlinear systems; estimation ... See more keywords
Intermediate Observer-Based Robust Distributed Fault Estimation for Nonlinear Multiagent Systems With Directed Graphs
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2958988
Abstract: This article focuses on the problem of robust distributed fault estimation for nonlinear multiagent systems with actuator faults and sensor faults. The communication topology of the multiagent systems is assumed to be directed. A novel… read more here.
Keywords: multiagent systems; fault estimation; robust distributed; distributed fault ... See more keywords
Remote State Estimation of Nonlinear Systems Over Fading Channels Via Recurrent Neural Networks.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3054826
Abstract: In this article, we consider the remote state estimation for nonlinear dynamic systems with known linear dynamics and unknown nonlinear perturbations. The nonlinear dynamic plant is monitored by multiple distributed sensors over a random access… read more here.
Keywords: state estimation; state; remote state; estimation nonlinear ... See more keywords