This paper focuses on synthesizing control policies for discrete-time
stochastic control systems together with a lower bound on the probability that
the systems satisfy the complex temporal properties. The desired properties of
the system are expressed as linear temporal logic (LTL) specifications over
finite traces. In particular, our approach decomposes the given specification
into simpler reachability tasks based on its automata representation. We then
propose the use of so-called \emph{control barrier certificate} to solve those
simpler reachability tasks along with computing the corresponding controllers
and probability bounds. Finally, we combine those controllers to obtain a
hybrid control policy solving the considered problem. Under some assumptions,
we also provide two systematic approaches for uncountable and finite input sets
to search for control barrier certificates. We demonstrate the effectiveness of
the proposed approach on a room temperature control and lane-keeping of a
vehicle modeled as a four-dimensional single-track kinematic model. We compare
our results with the discretization-based methods in the literature.Comment: 22 pages, 11 figures. arXiv admin note: text overlap with
arXiv:1807.0006