Linear controller design: limits of performance
Linear controller design: limits of performance
Robust H∞ -filtering design with pole placement constraint via linear matrix inequalities
Journal of Optimization Theory and Applications
A linear matrix inequality approach to the design of robust H2 filters
Advances in linear matrix inequality methods in control
H2 and $H_\infty$ Robust Filtering for Discrete-Time Linear Systems
SIAM Journal on Control and Optimization
Robust Filtering of Discrete-Time Linear Systems with Parameter Dependent Lyapunov Functions
SIAM Journal on Control and Optimization
H2 robust filter design with performance certificate via convex programming
Automatica (Journal of IFAC)
International Journal of Systems Science
Robust and reduced-order filtering: new LMI-based characterizationsand methods
IEEE Transactions on Signal Processing
Optimal linear filtering under parameter uncertainty
IEEE Transactions on Signal Processing
Robust ℋ∞ filtering for uncertaindiscrete-time state-delayed systems
IEEE Transactions on Signal Processing
H/sub 2//H/sub /spl infin// filter design for systems with polytope-bounded uncertainty
IEEE Transactions on Signal Processing
Robust H∞ filter design for uncertain linear systems withmultiple time-varying state delays
IEEE Transactions on Signal Processing
Brief Robust filtering with guaranteed energy-to-peak performance - an LMI approach
Automatica (Journal of IFAC)
Improved robust H2 and H∞ filtering for uncertain discrete-time systems
Automatica (Journal of IFAC)
Hi-index | 0.08 |
This paper presents new convex optimization procedures for full order robust H"2 and H"~ filter design for continuous and discrete-time uncertain linear systems. The time-invariant uncertain parameters are supposed to belong to a polytope with known vertices. Thanks to the use of a larger number of slack variables, linear matrix inequalities for the design of robust filters can be derived from the proposed conditions, outperforming the existing methods. The superiority and efficiency of the proposed method for filter design are illustrated by means of numerical comparisons in benchmark examples from the literature.