H∞ control for descriptor systems: a matrix inequalities approach
Automatica (Journal of IFAC)
Stability and Robustness of Multivariable Feedback Systems
Stability and Robustness of Multivariable Feedback Systems
A Unified Algebric Approach to Control Design
A Unified Algebric Approach to Control Design
A Convex Approach to Robust Stability for Linear Systems with Uncertain Scalar Parameters
SIAM Journal on Control and Optimization
Relaxations for Robust Linear Matrix Inequality Problems with Verifications for Exactness
SIAM Journal on Matrix Analysis and Applications
Automatica (Journal of IFAC)
A survey of linear matrix inequality techniques in stability analysis of delay systems
International Journal of Systems Science
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Exponential stability on stochastic neural networks with discrete interval and distributed delays
IEEE Transactions on Neural Networks
Brief paper: Stabilization for state/input delay systems via static and integral output feedback
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
New results on H∞ filtering for fuzzy systems with interval time-varying delays
Information Sciences: an International Journal
Pole placement in non connected regions for descriptor models
Mathematics and Computers in Simulation
l2-l∞ filter design for discrete-time singular Markovian jump systems with time-varying delays
Information Sciences: an International Journal
Hi-index | 22.15 |
Topological separation is investigated in the case of an uncertain time-invariant matrix interconnected with an implicit linear transformation. A quadratic separator independent of the uncertainty is shown to prove losslessly the closed-loop well-posedness. Several applications for LTI descriptor system analysis are then given. First, some known results for stability and pole location of descriptor systems are demonstrated in a new way. Second, contributions to robust stability analysis and time-delay systems stability analysis are exposed. These prove to be new even when compared to results for usual LTI systems (not in descriptor form). All results are formulated as linear matrix inequalities (LMIs).