Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7116276 | ISA Transactions | 2018 | 13 Pages |
Abstract
This paper investigates the Hâ control problems for uncertain linear system over networks with random communication data dropout and actuator saturation. The random data dropout process is modeled by a Bernoulli distributed white sequence with a known conditional probability distribution and the actuator saturation is confined in a convex hull by introducing a group of auxiliary matrices. By constructing a quadratic Lyapunov function, effective conditions for the state feedback-based Hâ controller and the observer-based Hâ controller are proposed in the form of non-convex matrix inequalities to take the random data dropout and actuator saturation into consideration simultaneously, and the problem of non-convex feasibility is solved by applying cone complementarity linearization (CCL) procedure. Finally, two simulation examples are given to demonstrate the effectiveness of the proposed new design techniques.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Jimin Yu, Chenchen Yang, Xiaoming Tang, Ping Wang,