On a convex parameter space method for linear control design of uncertain systems
SIAM Journal on Control and Optimization
Finite-Time Boundedness Analysis of Uncertain Neural Networks with Time Delay: An LMI Approach
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Technical communique: Finite-time stability of linear time-varying systems with jumps
Automatica (Journal of IFAC)
Finite-Time Boundedness Analysis of a Class of Neutral Type Neural Networks with Time Delays
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Finite-time control for linear systems with input constraints
ACC'09 Proceedings of the 2009 conference on American Control Conference
Finite-time control for linear discrete-time systems with input constraints
ACC'09 Proceedings of the 2009 conference on American Control Conference
On the stability of discrete-time nonlinear systems with uncertainties
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Brief paper: Finite-time control of discrete-time linear systems: Analysis and design conditions
Automatica (Journal of IFAC)
Finite-time quantized guaranteed cost fuzzy control for continuous-time nonlinear systems
Expert Systems with Applications: An International Journal
Technical communique: Finite-time stability theorem of stochastic nonlinear systems
Automatica (Journal of IFAC)
Non-Lyapunov stability and stabilization of fractional order systems including time-varying delays
Proceedings of the 15th WSEAS international conference on Systems
Technical communique: Finite-time stabilization via dynamic output feedback
Automatica (Journal of IFAC)
Finite-time filtering for discrete-time linear impulsive systems
Signal Processing
Hi-index | 22.16 |
In this paper we consider finite-time control problems for linear systems subject to time-varying parametric uncertainties and to exogenous constant disturbances. The main result provided is a sufficient condition for robust finite-time stabilization via state feedback. It can be applied to problems with both non-zero initial conditions and unknown constant disturbances. This condition is then reduced to a feasibility problem involving linear matrix inequalities (LMIs). A detailed example is presented to illustrate the proposed methodology.