Results 51 to 60 of about 484,208 (213)

Set-Membership Filtering for Nonlinear Dynamic Systems With Quadratic Inequality Constraints

open access: yesIEEE Access, 2020
The present study investigates the problem of set-membership filtering for nonlinear dynamic systems with general nonconvex inhomogeneous quadratic inequality constraints.
Xiaowei Li   +6 more
doaj   +1 more source

Probabilistic Set-Membership State Estimator [PDF]

open access: yes, 2011
Interval constraint propagation methods have been shown to be efficient, robust and reliable to solve difficult nonlinear bounded-error state estimation problems. However they are considered as unsuitable in a probabilistic context, where the approximation of a probability density function by a set cannot be accepted as reliable.
openaire   +1 more source

State Estimation for Measurement-Saturated Memristive Neural Networks with Missing Measurements and Mixed Time Delays Subject to Cyber-Attacks: A Non-Fragile Set-Membership Filtering Framework

open access: yesApplied Sciences
This paper is concerned with the state estimation problem based on non-fragile set-membership filtering for a class of measurement-saturated memristive neural networks (MNNs) with unknown but bounded (UBB) noises, mixed time delays and missing ...
Ziyang Wang   +4 more
doaj   +1 more source

Dynamic Output Feedback Robust Model Predictive Control via Zonotopic Set-Membership Estimation for Constrained Quasi-LPV Systems

open access: yesJournal of Applied Mathematics, 2015
For the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance, a synthesis approach of dynamic output feedback robust model predictive control (OFRMPC) is investigated.
Xubin Ping, Ning Sun
doaj   +1 more source

State and Unknown Terrain Estimation for Planetary Rovers via Interval Observers

open access: yesAdvanced Intelligent Systems, 2023
Herein, the problem of state and unknown terrain estimation is considered, where the unknown planetary terrain parameters, e.g., terrain stiffness and ground height, are inferred from how it affects rover motion through vehicle‐terrain interaction.
Mohammad Khajenejad   +2 more
doaj   +1 more source

Recursive set membership estimation for output–error fractional models with unknown–but–bounded errors

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2016
This paper presents a new formulation for set-membership parameter estimation of fractional systems. In such a context, the error between the measured data and the output model is supposed to be unknown but bounded with a priori known bounds. The bounded
Amairi Messaoud
doaj   +1 more source

On the robustness of set-membership adaptive filtering algorithms

open access: yesEURASIP Journal on Advances in Signal Processing, 2017
In this paper, we address the robustness, in the sense of l 2-stability, of the set-membership normalized least-mean-square (SM-NLMS) and the set-membership affine projection (SM-AP) algorithms. For the SM-NLMS algorithm, we demonstrate that it is robust
Hamed Yazdanpanah   +2 more
doaj   +1 more source

A critical comparison on attitude estimation: From gaussian approximate filters to coordinate‐free dual optimal control

open access: yesIET Control Theory & Applications, 2021
This paper conveys attitude and rate estimation without rate sensors by performing a critical comparison, validated by extensive simulations. The two dominant approaches to facilitate attitude estimation are based on stochastic and set‐membership ...
N. P. Koumpis   +2 more
doaj   +1 more source

A unified framework for solving a general class of conditional and robust set-membership estimation problems

open access: yes, 2014
In this paper we present a unified framework for solving a general class of problems arising in the context of set-membership estimation/identification theory.
Cerone, Vito   +3 more
core   +1 more source

A set-membership state estimation algorithm based on DC programming [PDF]

open access: yes, 2008
This paper presents a new approach to guaranteed state estimation for nonlinear discrete-time systems with a bounded description of noise and parameters.
Alamo, Teodoro   +3 more
core  

Home - About - Disclaimer - Privacy