Results 31 to 40 of about 412,258 (327)
Combined Enhanced LMI Charactrization and Parametric Eigenstructure Assignment Using Static Output Feedback [PDF]
This paper proposes mixed eigenstructure assignment with H∞ constraint when the states are not measurable. In this case, full state feedback is not permissible. So eigenstructure assignment by output feedback is considered.
Amir Parviz Valadbeygi +2 more
doaj
The matricial relaxation of a linear matrix inequality
Given linear matrix inequalities (LMIs) L_1 and L_2, it is natural to ask: (Q1) when does one dominate the other, that is, does L_1(X) PsD imply L_2(X) PsD? (Q2) when do they have the same solution set? Such questions can be NP-hard. This paper describes
A. Ben-Tal +16 more
core +1 more source
Simultaneous stabilization via static output feedback and state feedback [PDF]
In this paper, the simultaneous stabilization problem is considered using the matrix inequality approach. Some necessary and sufficient conditions for simultaneous stabilizability of r strictly proper multi-input/multi-output (MIMO) plants via static ...
Cao, YY, Lam, J, Sun, YX
core +1 more source
Aeroelastic stability analysis using linear matrix inequalities [PDF]
The present work describes an alternative methodology for identification of aeroelastic stability in a range of varying parameters. Analysis is performed in time domain based on Lyapunov stability and solved by convex optimization algorithms. The theory is outlined and simulations are carried out on a benchmark system to illustrate the method.
Bueno, Douglas D. +3 more
openaire +5 more sources
This paper is concerned with the robust distributed H∞ filtering problem for nonlinear systems subject to sensor saturations and fractional parameter uncertainties. A sufficient condition is derived for the filtering error system to reach the required H∞
Dong Liu +4 more
doaj +1 more source
Exposed faces of semidefinitely representable sets
A linear matrix inequality (LMI) is a condition stating that a symmetric matrix whose entries are affine linear combinations of variables is positive semidefinite.
Netzer, Tim +2 more
core +1 more source
Generalizations of the Kantorovich and Wielandt Inequalities with Applications to Statistics
By utilizing the properties of positive definite matrices, mathematical expectations, and positive linear functionals in matrix space, the Kantorovich inequality and Wielandt inequality for positive definite matrices and random variables are obtained ...
Yunzhi Zhang +3 more
doaj +1 more source
A new approach for Guaranteed ellipsoidal state estimation [PDF]
The 19th World Congress of the International Federation of Automatic Control 2014. Cape Town, SudáfricaThis paper proposes a new ellipsoid-based guaranteed state estimation approach for linear discrete-time systems with bounded perturbations and bounded ...
Alamo, Teodoro +4 more
core +3 more sources
Determinant Maximization with Linear Matrix Inequality Constraints [PDF]
Summary: The problem of maximizing the determinant of a matrix subject to linear matrix inequalities (LMIs) arises in many fields, including computational geometry, statistics, system identification, experiment design, and information and communication theory. It can also be considered as a generalization of the semidefinite programming problem.
Vandenberghe, Lieven +2 more
openaire +2 more sources
Robust and Resilient Finite-Time Control of a Class of Discrete-Time Nonlinear Systems [PDF]
In this paper, we address the finite-time state-feedback stabilization of a class of discrete-time nonlinear systems with conic type nonlinearities, bounded feedback control gain perturbations, and additive disturbances.
ElBsat, Mohammad N., Yaz, Edwin E
core +2 more sources

