Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
411612 | Neurocomputing | 2016 | 5 Pages |
Abstract
This paper studies the problem of H∞H∞ control for uncertain linear discrete-time systems with quantized state feedback. Consider that the uncertain parameters are supposed to reside in a polytope. The system state is quantized by a logarithmic static and time-invariant quantizer. Via giving a new control law and using parameter dependent Lyapunov function approach, new results on the quantized H∞H∞ state feedback control are expressed in terms of linear matrix inequalities (LMIs). A numerical example is introduced to illustrate the effectiveness and applicability of the proposed methodology.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhi-Min Li, Xiao-Heng Chang, Xiao-Kun Du, Lu Yu,