Title :
Set-Membership Filtering for Discrete-Time Systems With Nonlinear Equality Constraints
Author :
Yang, Fuwen ; Li, Yongmin
Author_Institution :
Sch. of Inf. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
In this technical note, the problem of set-membership filtering is considered for discrete-time systems with nonlinear equality constraint between their state variables. The nonlinear equality constraint is first linearized and transformed into a state linear equality constraint with two uncertain quantities related to linearizing truncation error and base point error. S-procedure method is then applied to merge all inequalities into one inequality and the solution to the unconstrained set-membership filtering problem is provided. The set-membership filter with state constraint is finally derived from projecting the unconstrained set-membership filter onto the constrained surface by using Finsler´s Lemma. A time-varying linear matrix inequality optimization based approach is proposed to design the set-membership filter with nonlinear equality constraint. A recursive algorithm is developed for computing the state estimate ellipsoid that guarantees to contain the true state. An illustrative example is provided to demonstrate the effectiveness of the proposed set-membership filtering with nonlinear equality constraint.
Keywords :
discrete time systems; filtering theory; linear matrix inequalities; optimisation; state estimation; uncertain systems; Finsler Lemma; S-procedure method; base point error; discrete-time systems; nonlinear equality constraints; set-membership filtering; state estimate ellipsoid; state linear equality constraint; time-varying linear matrix inequality optimization; truncation error; uncertain quantities; Constraint optimization; Ellipsoids; Filtering; Information systems; Linear matrix inequalities; Nonlinear filters; State estimation; State-space methods; Stochastic resonance; Stochastic systems; Target tracking; Nonlinear equality constraint; set-membership filtering; state constraint; state estimate ellipsoid; time-varying linear matrix inequality (LMI) optimization based approach;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2009.2029403