Results 221 to 230 of about 75,217 (259)
Some of the next articles are maybe not open access.
Simple LMIs for stabilization by using delays
2016 IEEE 55th Conference on Decision and Control (CDC), 2016It is well-known that the second-order systems that cannot be stabilized by a static output feedback without a damping term, may be stabilized by inserting an artificial time-delay in the feedback. The existing Lyapunov-based methods that may treat this case and that lead to stability conditions in terms of Linear Matrix Inequalities (LMIs) suffer from
Emilia Fridman, Leonid E. Shaikhet
openaire +1 more source
An anti-windup technique for LMI regions
Automatica, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brandon Hencey, Andrew G. Alleyne
openaire +1 more source
Maximizing the stability radius: an LMI approach
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Given a stabilizable linear system Ex/spl dot/ = Ax + Bu with sE - A regular, we analyze the stability robustness of the closed-loop system (E + BK) = (A + BF)x + v, obtained by proportional and derivative (PD) state feedback u = Fx Kx/spl dot/ + v. Our goal is to maximize the stability radius of the closed-loop system matrix s(E + BK) - (A + BF) over ...
Cristian Oari +2 more
openaire +1 more source
The analytic center of LMI's and Riccati equations
1999 European Control Conference (ECC), 1999In this paper we derive formulas for constructing the analytic center of the linear matrix inequality defining a positive (para-hermitian) transfer function. The Riccati equations that are usually associated with such positive transfer functions, are related to boundary points of the convex set.
Yves V. Genin +2 more
openaire +1 more source
Robust pole placement in LMI regions
IEEE Transactions on Automatic Control, 1999Summary: We discuss analysis and synthesis techniques for robust pole placement in linear matrix inequality (LMI) regions, a class of convex regions of the complex plane that embraces most practically useful stability regions. The focus is on linear systems with static uncertainty on the state matrix.
Mahmoud Chilali +2 more
openaire +1 more source
2014
Hamilton invented state space models of nonlinear dynamic systems with his generalized momenta work in the 1800s, but, at that time, the lack of computational tools prevented broad acceptance of the first order form of dynamic equations. With the rapid development of computers in the 1960s, State Space models evoked a formal control theory for ...
openaire +1 more source
Hamilton invented state space models of nonlinear dynamic systems with his generalized momenta work in the 1800s, but, at that time, the lack of computational tools prevented broad acceptance of the first order form of dynamic equations. With the rapid development of computers in the 1960s, State Space models evoked a formal control theory for ...
openaire +1 more source
LMI-based fuzzy chaotic synchronization and communication
Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2001This paper presents linear matrix inequalities (LMI) based fuzzy chaotic synchronization and communication. We propose a modulated Takagi-Sugeno (T-S) fuzzy model. The modulated T-S fuzzy model is constructed by choosing the common factor or the only one variable of nonlinear terms in chaotic systems as the premise variable of fuzzy rules and output ...
Kuang-Yow Lian +3 more
openaire +1 more source
2005
This chapter presents an LMI-based method for design of control systems in accordance with the principle of matching and the principle of inequalities. The inputs are assumed to be persistent and/or transient. From the exponential convergence conditions of the unit impulse and the unit step responses, matrix inequalities are derived as a sufficient ...
openaire +1 more source
This chapter presents an LMI-based method for design of control systems in accordance with the principle of matching and the principle of inequalities. The inputs are assumed to be persistent and/or transient. From the exponential convergence conditions of the unit impulse and the unit step responses, matrix inequalities are derived as a sufficient ...
openaire +1 more source
Robust diagonal stabilization: an LMI approach
IEEE Transactions on Automatic Control, 2000Summary: This correspondence addresses the problem of robust diagonal stabilization for discrete-time systems. Linear matrix inequality (LMI) conditions are derived for the search of a diagonal solution to the associated Lyapunov equation. This approach can be applied to guarantee stability of quantized systems and to find numerous applications, e.g ...
openaire +2 more sources