Gaussian filters for parameter and state estimation: A general review of theory and recent trends
Real-time control systems rely on reliable estimates of states and parameters in order to
provide accurate and safe control of electro-mechanical systems. The task of extracting state …
provide accurate and safe control of electro-mechanical systems. The task of extracting state …
Guaranteed state estimation by zonotopes
This paper presents a new approach to guaranteed state estimation for non-linear discrete-
time systems with a bounded description of noise and parameters. The main result is an …
time systems with a bounded description of noise and parameters. The main result is an …
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 …
[LLIBRE][B] Robust control design using H-∞ methods
This is a unified collection of important recent results for the design of robust controllers for
uncertain systems, primarily based on H8 control theory or its stochastic counterpart, risk …
uncertain systems, primarily based on H8 control theory or its stochastic counterpart, risk …
A framework for state-space estimation with uncertain models
AH Sayed - IEEE Transactions on Automatic Control, 2001 - ieeexplore.ieee.org
Develops a framework for state-space estimation when the parameters of the underlying
linear model are subject to uncertainties. Compared with existing robust filters, the proposed …
linear model are subject to uncertainties. Compared with existing robust filters, the proposed …
H∞ filtering with randomly occurring sensor saturations and missing measurements
In this paper, the H∞ filtering problem is investigated for a class of nonlinear systems with
randomly occurring incomplete information. The considered incomplete information includes …
randomly occurring incomplete information. The considered incomplete information includes …
Distributed event-based set-membership filtering for a class of nonlinear systems with sensor saturations over sensor networks
In this paper, the distributed set-membership filtering problem is investigated for a class of
discrete time-varying system with an event-based communication mechanism over sensor …
discrete time-varying system with an event-based communication mechanism over sensor …
[LLIBRE][B] Robust Kalman filtering for signals and systems with large uncertainties
IR Petersen, AV Savkin - 2012 - books.google.com
A significant shortcoming of the state space control theory that emerged in the 1960s was its
lack of concern for the issue of robustness. However, in the design of feedback control …
lack of concern for the issue of robustness. However, in the design of feedback control …
Robust filtering for discrete-time systems with bounded noise and parametric uncertainty
This note presents a new approach to finite-horizon guaranteed state prediction for discrete-
time systems affected by bounded noise and unknown-but-bounded parameter uncertainty …
time systems affected by bounded noise and unknown-but-bounded parameter uncertainty …
Set-membership filtering for systems with sensor saturation
This paper addresses the set-membership filtering problem for a class of discrete time-
varying systems with sensor saturation in the presence of unknown-but-bounded process …
varying systems with sensor saturation in the presence of unknown-but-bounded process …