  This paper presents a Lyapunov function based control strategy for networked
control systems (NCS) affected by variable time delays and data loss. A special
focus is put on the reduction of the computational complexity. A specific
buffering mechanism is defined first, such that it adds an additional delay up
to one sampling period. The resulting buffered NCS can then be formulated as a
switched system which leads to the significant simplification of the NCS model
and subsequent controller synthesis. The novel approach does not only
circumvent the need for any over-approximation technique, since the switched
NCS model can be used for stability analysis directly, but also reduces the
infinite set of allowable values of the dynamic matrix to a small finite set.
The proposed strategy leads hereby to a strongly decreased number of
optimization variables and linear matrix inequalities (LMIs) which allows
greater flexibility with respect to additional degrees of freedom affecting the
transient behavior. The performance and computational efficiency of the control
strategy are demonstrated by means of simulation example.
