Robust Kalman filtering for uncertain systems
Systems & Control Letters
H2 optimal control
Approximation of the Kushner Equation for Nonlinear Filtering
SIAM Journal on Control and Optimization
Filtering for a class of nonlinear discrete-time stochastic systems with state delays
Journal of Computational and Applied Mathematics
Automatica (Journal of IFAC)
H∞ filtering for discrete-time systems with time-varying delay
Signal Processing
Stochastic algorithms for robustness of control performances
Automatica (Journal of IFAC)
International Journal of Systems Science
Brief paper: Distribution function tracking filter design using hybrid characteristic functions
Automatica (Journal of IFAC)
Reliable H∞filter design for a class of continuous-time nonlinear systems with time-varying delay
ACC'09 Proceedings of the 2009 conference on American Control Conference
Optimal filtering over linear observations with unknown parameters
ACC'09 Proceedings of the 2009 conference on American Control Conference
H∞filtering for a class of mode-independent switch networks
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Technical communique: A new result on stability analysis for stochastic neutral systems
Automatica (Journal of IFAC)
SIAM Journal on Control and Optimization
Optimal mean-square state and parameter estimation for stochastic linear systems with Poisson noises
Information Sciences: an International Journal
Hi-index | 22.15 |
In this paper, we address the filtering problem for a general class of nonlinear time-delay stochastic systems. The purpose of this problem is to design a full-order filter such that the dynamics of the estimation error is guaranteed to be stochastically exponentially ultimately bounded in the mean square. Both filter analysis and synthesis problems are considered. Sufficient conditions are proposed for the existence of desired exponential filters, which are expressed in terms of the solutions to algebraic Riccati inequalities involving scalar parameters. The explicit characterization of the desired filters is also derived. A simulation example is given to illustrate the design procedures and performances of the proposed method.