Recent advances in prognostics and health management for advanced manufacturing paradigms
Manufacturing paradigms have played their important roles in modern industry. In recent 20
years, production systems of advanced manufacturing paradigms (eg mass customization …
years, production systems of advanced manufacturing paradigms (eg mass customization …
On an interval prediction of COVID-19 development based on a SEIR epidemic model
D Efimov, R Ushirobira - Annual reviews in control, 2021 - Elsevier
In this paper, a new version of the well-known epidemic mathematical SEIR model is used to
analyze the pandemic course of COVID-19 in eight different countries. One of the proposed …
analyze the pandemic course of COVID-19 in eight different countries. One of the proposed …
Observer design method for nonlinear generalized systems with nonlinear algebraic constraints with applications
S Meng, F Meng, F Zhang, Q Li, Y Zhang, A Zemouche - Automatica, 2024 - Elsevier
This paper proposes a new method to estimate the state of nonlinear generalized systems
subject to nonlinear algebraic constraints via H∞ observers. Compared with previous …
subject to nonlinear algebraic constraints via H∞ observers. Compared with previous …
Zonotopes and Kalman observers: Gain optimality under distinct uncertainty paradigms and robust convergence
C Combastel - Automatica, 2015 - Elsevier
State bounding observation based on zonotopes is the subject of this paper. Dealing with
zonotopes is motivated by set operations resulting in simple matrix calculations with regard …
zonotopes is motivated by set operations resulting in simple matrix calculations with regard …
Reduced-order interval observer based consensus for MASs with time-varying interval uncertainties
X Wang, X Wang, H Su, J Lam - Automatica, 2022 - Elsevier
In this paper, the consensus problem of a continuous-time uncertain multi-agent system
(MAS) with time-varying interval uncertainties in the system matrix and unknown initial states …
(MAS) with time-varying interval uncertainties in the system matrix and unknown initial states …
Interval estimation methods for discrete-time linear time-invariant systems
This paper investigates interval estimation methods for discrete-time linear time-invariant
systems. We propose a novel interval estimation method by integrating robust observer …
systems. We propose a novel interval estimation method by integrating robust observer …
Interval state observer for nonlinear time varying systems
This paper is devoted to the design of interval observers for Linear Time Varying (LTV)
systems and a class of nonlinear time-varying systems in the output canonical form. An …
systems and a class of nonlinear time-varying systems in the output canonical form. An …
Design of interval observers for uncertain dynamical systems
Interval state observers provide an estimate on the set of admissible values of the state
vector at each instant of time. Ideally, the size of the evaluated set is proportional to the …
vector at each instant of time. Ideally, the size of the evaluated set is proportional to the …
Interval observers for continuous-time LPV systems with L1/L2 performance
An approach to interval observer design for Linear Parameter-Varying (LPV) systems is
proposed. It is assumed that the vector of scheduling parameters in LPV models is not …
proposed. It is assumed that the vector of scheduling parameters in LPV models is not …
Interval observers for time-varying discrete-time systems
This techical note deals with interval state observer design for time-varying discrete-time
systems. The problem of a similarity transformation computation which connects a (time …
systems. The problem of a similarity transformation computation which connects a (time …